/* ---- Google Analytics Code Below */

Wednesday, February 24, 2021

Worldwide Web as We Know Ending?

 Certainly changing.  What drives such changes, more legislation, which are likely to produce yet more and likely less creative participants.   It was lack of govt oversight that drove that creativity.  

The worldwide web as we know it may be ending   By Rishi Iyengar, CNN Business

(CNN Business)Over the last year, the worldwide web has started to look less worldwide.

Europe is floating regulation that could impose temporary bans on US tech companies that violate its laws. The United States was on the verge of banning TikTok and WeChat, though the new Biden administration is rethinking that move. India, which did ban those two apps as well of dozens of others, is now at loggerheads with Twitter.

And this month, Facebook (FB) clashed with the Australian government over a proposed law that would require it to pay publishers. The company briefly decided to prevent users from sharing news links in the country in response to the law, with the potential to drastically change how its platform functions from one country to the next. Then on Tuesday, it reached a deal with the government and agreed to restore news pages. The deal partially relaxed arbitration requirements that Facebook took issue with.

In its announcement of the deal, however, Facebook hinted at the possibility of similar clashes in the future. "We'll continue to invest in news globally and resist efforts by media conglomerates to advance regulatory frameworks that do not take account of the true value exchange between publishers and platforms like Facebook," Campbell Brown, VP of global news partnerships at Facebook, said in a statement Tuesday.  ... " 

Quantum Computer Solves Simulation

Recall our previous mentions of D-Wave Quantum Methods.

A quantum computer just solved a decades-old problem three million times faster than a classical computer   

Using a method called quantum annealing, D-Wave's researchers demonstrated that a quantum computational advantage could be achieved over classical means.

By Daphne Leprince-Ringuet | February 23, 2021 -- 15:26 GMT (07:26 PST) | Topic: Quantum Computing  ZDNet

Scientists from quantum computing company D-Wave have demonstrated that, using a method called quantum annealing, they could simulate some materials up to three million times faster than it would take with corresponding classical methods. 

Together with researchers from Google, the scientists set out to measure the speed of simulation in one of D-Wave's quantum annealing processors, and found that performance increased with both simulation size and problem difficulty, to reach a million-fold speedup over what could be achieved with a classical CPU. 

The calculation that D-Wave and Google's teams tackled is a real-world problem; in fact, it has already been resolved by the 2016 winners of the Nobel Prize in Physics, Vadim Berezinskii, J. Michael Kosterlitz and David Thouless, who studied the behavior of so-called "exotic magnetism", which occurs in quantum magnetic systems.    ... " 

Tuesday, February 23, 2021

Upcoming Voice AI with Clouds: Podcast

Of interest, the future of Voice nd AI.   Will be following.

Voice Talks Rises to the Clouds for February 25 Episode by Eric Hal Schwartz in Voicebot.ai

Modev’s VOICE Talks Presented by Google Assistant will peer into the future for its latest episode on the evolution of voice technology. The new episode is titled “Starting a New Decade in Voice and AI” and will stream live on Feb. 25 at 2 p.m. Eastern, hosted as always by Google Assistant’s co-lead of global product partnerships Sofia Altuna.

AI INSIGHT

Altuna will start off the show’s discussions and presentations with a broad overview of the combination of voice tech, cloud computing, and artificial intelligence that are set to elevate the current state of technology before introducing the first of her guests, technical director of AI for Google Cloud Ashwin Ram. Ram will go over the way cloud computing supports voice technology and how it is being used to solve problems in the field. Following Ram, Cobalt CEO Jeff Adams and XAPP vice president Michael Meyers will zero in on those challenges,. They will lay out how voice and AI are adapting to avoid issues before they even arise, with each of their companies developing conversational AI tech to accommodate those potential problems.

“There’s so much we don’t know that makes the future fundamentally impossible to predict,” Adams said in a statement. “But that’s the joy of it. The future is in our blindspot and that makes it an adventure. We are going to create it and see it when it gets here.”   ... ' 

Pin Screens to the Walls

Is it the future of display to have information pinned on the wall.  Or floating in space?

Qualcomm’s new AR ‘Smart Viewer’ lets you pin virtual screens to your walls

Lenovo adopted the design for its ThinkReality glasses

By Adi Robertson@thedextriarchy  in TheVerge

Chip maker Qualcomm has introduced a new reference design for augmented reality glasses: an AR “smart viewer” you can tether to a phone or PC via USB-C. Called the XR1 Smart Viewer, the system is meant to be lightweight and look (sort of) like sunglasses, while also enabling features like hand tracking and spatial awareness. The first glasses based on its design are set for release in mid-2021. .. "

IBM and AI. An Abandonment of Watson?

 I see that our interesting correspondent and critic from before the first AI winter, Roger Schank, has posted a note strongly criticizing IBM on AI and cognitive claims.  Below an excerpt, link through to more: 

They are not doing "cognitive computing" no matter how many times they say they are  Update: February 2021

Commentng on WSJ article: IBM’s Retreat From Watson Highlights Broader AI Struggles in Health

I was chatting with an old friend yesterday and he reminded me of a conversation we had nearly 50 years ago. I tried to explain to him what I did for living and he was trying to understand why getting computers to understand was more complicated than key word analysis. I explained about concepts underlying sentences and explained that sentences used words but that people really didn’t use words in their minds except to get to the underlying ideas and that computers were having a hard time with that.

Fifty years later, key words are still dominating the thoughts of people who try to get computers to deal with language. But, this time, the key word people have deceived the general public by making claims that this is thinking, that AI is here, and that, by the way we should be very afraid, or very excited, I forget which.

We were making some good progress on getting computers to understand language but, in 1984, AI winter started. AI winter was a result of too many promises about things AI could do that it really could not do. (This was about promoting expert systems. Where are they now?). Funding dried up and real work on natural language processing died too.

But still people promote key words because Google and others use it to do "search". Search is all well and good when we are counting words, which is what data analytics and machine learning are really all about. Of course, once you count words you can do all kinds of correlations and users can learn about what words often connect to each other and make use of that information. But, users have learned to accommodate to Google not the other way around. We know what kinds of things we can type into Google and what we can’t and we keep our searches to things that Google is likely to help with. We know we are looking for texts and not answers to start a conversation with an entity that knows what we really need to talk about. People learn from conversation and Google can’t have one. It can pretend to have one using Siri but really those conversations tend to get tiresome when you are past asking about where to eat.

But, I am not worried about Google. It works well enough for our needs.

What I am concerned about are the exaggerated claims being made by IBM about their Watson program. Recently they ran an ad featuring Bob Dylan which made laugh, or would have, if had made not me so angry. I will say it clearly: Watson is a fraud. I am not saying that it can’t crunch words, and there may well be value in that to some people. But the ads are fraudulent. ... ' 

Monday, February 22, 2021

Linux and Open Source Go to Mars

Big follower of astronomy and astronautics.   Connections to modern computing are also of continued interest.   The latest efforts to Mars are instructive.  What else can be done to support the capability for modern, long distance and increasingly autonomous computing?     Even furthering the use of advanced Drone and Robotics control.

Mars and Beyond: Linux, Open Source Go to Mars  By ZDNet   February 22, 2021

The U.S. National Aeronautics and Space Administration (NASA) Perseverance rover will explore Mars with the self-flying Ingenuity helicopter drone, using Linux and NASA-built software based on the Jet Propulsion Laboratory (JPL)'s open source F' framework.

F' facilitates rapid development and implementation of spaceflight and other embedded software applications.

It features an architecture that decomposes flight software into discrete elements with well-defined interfaces, a C++ framework that enables capabilities like message queues and threads, and modeling tools for specifying components and links and automatically generating code.

JPL's Timothy Canham said the F'-based software used in Ingenuity is "kind of an open source victory because we're flying an open source operating system and an open source flight software framework and flying commercial parts that you can buy off the shelf if you wanted to do this yourself someday."

From ZDNet  in ACM  ...' 

Microsoft Big Quantum Win was a Mistake

Interesting,  recall the announcement then, mostly technical points are made here, but worth noting.   Not clear then hw this will effect Microsoft's work in the space, if at all. 

Microsoft’s Big Win in Quantum Computing Was an ‘Error’ After All   By Wired in ACM

In March 2018, Dutch physicist and Microsoft employee Leo Kouwenhoven published headline-grabbing new evidence that he had observed an elusive particle called a Majorana fermion.

Microsoft hoped to harness Majorana particles to build a quantum computer, which promises unprecedented power by tapping quirky physics. Rivals IBM and Google had already built impressive prototypes using more established technology. Kouwenhoven's discovery buoyed Microsoft's chance to catch up. The company's director of quantum computing business development, Julie Love, told the BBC that Microsoft would have a commercial quantum computer "within five years."

Three years later, Microsoft's 2018 physics fillip has fizzled. Late last month, Kouwenhoven and his 21 coauthors released a new paper including more data from their experiments. It concludes that they did not find the prized particle after all. An attached note from the authors said the original paper, in the prestigious journal Nature, would be retracted, citing "technical errors."  ... ' 

Modernizing Data Dashboards.

Good thoughts, somewhat obvious, but still useful tips about the ideas involved. 

Modernizing Data Dashboards. Posted by Technovert Solutions on February 21, 2021  in DSC. 

Modernizing is critical to apply the latest technologies and practices to address areas where users are less than satisfied and data trust needs to be higher. In this article, learn about modernizing data visualization with dashboards and reports.... '

Amazon Alexa Crowdsources New Products

Interesting approach will examine further and post here.  Thoughts about usefulness?

Amazon is using crowdsourcing to create new products   by Tom Ryan  in Retailwire  with further expert comment at the link. 

Amazon launched a new program, “Build It,” that in a crowdsourcing scheme enables consumers to vote on which Alexa-enabled products will be developed.

Built It represents the extension of Day 1 Editions, an invitation-only program that offers a select group of consumers the chance to purchase an in-development product at a special price. In exchange for the discount, the buyers provide early feedback to Amazon so the team can review any flaws while gauging potential demand for a rollout. Day 1 Editions led to the 2019 launch of Echo Frames smart eyeglasses and Echo Loop smart ring.

Build It, which is open to anybody, is more geared toward accessing potential demand and apparently creating some buzz around launch.

Consumers participating in the program are offered a chance to pre-order in-development products at a special price as long as enough others pre-order, mimicking a Kickstarter campaign. If the concept reaches its pre-order goal in 30 days, Amazon will build it and those pre-ordering over the 30-day period receive the item at the discount price. The price increases when fully rolled out.  ... ' 

Technology Impacting Supply Chains

 Good thoughts, all players should examine these methods.

Blockchain and RPA Leading Supply Chain Trends in 2021  By Marisa Brown, APQC

It is worrisome to note that 1 in 5 supply chains barely survived the COVID-19 crisis. It’s vital that these organizations use the lessons learned from 2020 to proactively prepare for the next disruption (since the question is when not if there will be some future supply disruption). Check out this article, What Supply Chain Leaders Need to Know for 2021, for some advice.

I would like to acknowledge the 13 percent of supply chains that completely saved the day in the face of COVID-19. It took many people in those organizations going above and beyond the “normal” to make that happen. In talking to these organizations, I have heard about greater cross-functional collaboration, more frequent re-planning, deeper relationships with suppliers, and faster decision-making. (See Supply Chain Planning: Blueprint for Success for additional insights.) Also, it speaks to the pervasive nature of this crisis that only 5 percent of 455 respondents said their supply chains were not significantly impacted by COVID-19 (not displayed in Figure 1).  

Now let’s look at top trends and obstacles facing supply chains.  

TOP 3 TRENDS ANTICIPATED TO IMPACT SUPPLY CHAINS  

In the next three years, many different trends and changes will impact supply chains. In addition to digitization of the supply chain, here are the top three trends identified (by percentage of respondents rating it as a major or moderate impact).  

»    34% Robotic process automation (RPA) which will help improve productivity and efficiency by enabling people to spend time on more value-added activities vs transactional ones.  

»    32% An automation shift will enable more time spent on the second trend: a greater focus on environmental, social, and corporate governance (ESG) factors and issues.  

»    32% Blockchain, the third anticipated trend, can enable greater traceability and visibility, also enabling sustainability efforts.   .. " 

Communicating with Dreaming

Recall our early dream experiments.   Could this re-open our sleep learning goals?

Scientists Communicated With People While They Were Lucid Dreaming  By Shelly Fan  in Singularity Hub

We’ve probed the depths of Earth’s deepest trench, sent rovers to Mars, and observed other worlds billions of light years away. Yet we’ve never been able to decipher the mysterious, bizarre, and disjointed world of our own dreams. It seems impossible: after all, people who dream are fast asleep and oblivious to the outside world.

Except now, we can.

In a mind-bending paper published last week in Current Biology, teams of scientists from four countries found that it’s possible to communicate with people who are actively dreaming. It’s not simple information, either. The volunteers, roughly two dozen spread across four labs, were able to listen to math problems and answer them using facial twitches and eye movements. One group of sleepers could even decipher Morse code, and reply to the outside world in real time.

“Our experimental goal is akin to finding a way to talk with an astronaut who is on another world, but in this case the world is entirely fabricated on the basis of memories stored in the brain,” the researchers said.

This is crazy. Research into dreams has long relied on the recall of people after waking up, which—I’m sure you agree—is riddled with errors, confusion, and missed details. The new study means that we now have a way to directly engage with people while they’re deep asleep, probe the contents of their dreams, and potentially alter them.  ... " 

More No and Low Code Emerges

More solutions, but have yet to see them widely used.   Would want to see them strongly tested for security issues.   Probably open source to allow that? 

Low-code software platform provider Creatio raises $68M  By Mike Wheatley  in SiliconAngle

Low-code software platform company Creatio is hoping to grow its business after announcing a $68 million capital raise today.

The round was led by the U.S. growth equity firm Volition Capital. Horizon Capital, a private equity firm, also participated in the round. Creatio said it will use its new funds to invest in research and development, global marketing and sales expansion as it looks to build on its current momentum.

Creatio, which was formerly known as bpm’online Ltd., sells tools that include a low-code business processes management platform that makes it possible for workers without coding skills to build enterprise apps with minimal effort, using a drag-and-drop user interface to guide them. The same UI can be used to create complex business processes that help to manage interactions between colleagues, clients and partners.  ... " 

Sunday, February 21, 2021

Deep Learning for Fleet Management

Interesting example,  worth examining.   Other operations examples?

New Deep Learning Systems Profoundly Disrupt Fleet Management Operations

Deep learning is having a profound impact on the future of fleet management through greater efficiency.

Posted by  Ryan Kh  in Smart data collective. 

Deep learning tech is influencing and enhancing many industries, promising to provide insights into key business operations which were not previously possible to unearth. Transportation and logistics is a prime example.

The transportation analytics industry is projected to be worth $27 billion by 2026. One of the biggest applications of this technology lies with using deep learning to streamline fleet management.

Fleet management is one area that is especially well positioned to benefit from the latest data-driven analytical tools, so here is a look at just how much positive disruption is being caused in this market at the moment.

Improvements to efficiency & sustainability

Businesses which operate fleets of vehicles, whether small or large, are under increased scrutiny with regards to the sustainability of their operations at the moment.

There are a number of ways to go about improving the eco-friendliness of business fleets, with the long term aim of many organizations being to migrate to fully electric vehicles, leaving fossil fuel powered incumbents in the past where they belong. .. ' 

IBM and Daimler using Quantum Computer

Continued advances of the use of quantum computing to model lithium molecules to get closer to lithium Sulphur  batteries that would be longer lasting and cheaper.

 IBM and Daimler use quantum computer to develop next-gen batteries

January 8, 2020 | Written by: Jeannette Garcia  in ACM

Categorized: Quantum Computing

Electric vehicles have an Achilles heel: the capacity and speed-of-charging of their batteries. A quantum computing breakthrough by researchers at IBM and Daimler AG, the parent company of  Mercedes-Benz, could help tackle this challenge. We used a quantum computer to model the dipole moment of three lithium-containing molecules, which brings us one step closer the next-generation lithium sulfur (Li-S) batteries that would be more powerful, longer lasting and cheaper than today’s widely used lithium ion batteries.

Simulating molecules is extremely difficult but modeling them precisely is crucial to discover new drugs and materials. In the research paper “Quantum Chemistry Simulations of Dominant Products in Lithium-Sulfur Batteries,” we simulated the ground state energies and the dipole moments of the molecules that could form in lithium-sulfur batteries during operation: lithium hydride (LiH), hydrogen sulfide (H2S), lithium hydrogen sulfide (LiSH), and the desired product, lithium sulfide (Li2S). In addition, and for the first time ever on quantum hardware, we demonstrated that we can calculate the dipole moment for LiH using 4 qubits on IBM Q Valencia, a premium-access 5-qubit quantum computer. ... ' 

Kroger Data Breach

Had come to mind that retailers had been less susceptible here, but then an example:

Kroger is latest victim of third-party software data breach   by Frank Bajak  in TechExplore

This June 17, 2014, file photo, shows a Kroger store in Houston. Kroger Co. says it was among the multiple victims of a data breach involving a third-party vendor's file-transfer service and is notifying potentially impacted customers, offering them free credit monitoring. The Cincinnati-based grocery and pharmacy chain said in a statement Friday, Feb. 19, 2021, that it believes less than 1% of its customers were affected, specifically some using its Health and Money Services, as well as some current and former employees because a number of personnel records were apparently viewed. (AP Photo/David J. Phillip, File)

Kroger Co. says it was among the multiple victims of a data breach involving a third-party vendor's file-transfer service and is notifying potentially impacted customers, offering them free credit monitoring.

The Cincinnati-based grocery and pharmacy chain said in a statement Friday that it believes less than 1% of its customers were affected—specifically some using its Health and Money Services—as well as some current and former employees because a number of personnel records were apparently viewed.

Kroger said the breach did not affect Kroger stores' IT systems or grocery store systems or data and there was no indication that fraud involving accessed personal data had occurred.

The company, which has 2,750 grocery retail stores and 2,200 pharmacies nationwide, did not immediately respond to questions including how many customers might have been affected.

Kroger said it was among victims of the December hack of a file-transfer product called FTA developed by Accellion, a California-based company, and that it was notified of the incident on Jan. 23, when it discontinued use of Accellion's services. Companies use the file-transfer product to share large amounts of data and hefty email attachments.... "

San Diego Supercomputing

 Long ago we worked with UCSD group, in the Bio Modeling area.

San Diego Supercomputer Center Helps Advance Computational Chemistry  By University of California San Diego, February 18, 2021

MIT's Heather Kulik and colleagues used the Comet supercomputer at the University of California, San Diego's San Diego Supercomputer Center and the Bridges supercomputer at the Pittsburgh Supercomputing Center in this effort. The resulting artificial neural network models predict strong correlation in materials at significantly lower computational cost than conventional models, potentially accelerating the search for materials in diverse applications.

The MIT team's  workflow engaged with at least three electronic structure codes and utilized central processing units and graphics processing units on Comet and Bridges. "Using those supercomputers firsthand allowed me to think about ways I can teach students who may just be learning computational chemistry to complement their experimental research for ways that they can use not only now but in the future," Kulik says. ...

From University of California San Diego

Brain Background Noise Useful

Recall this being brought up in some work we did in understanding reactions to stimuli.    We theorized that it was always useful to calculate the background, where we later discovered some 'data' that ended up being useful.    Still think its useful to bring along the metadata of background noise.   This is not the same thing, more in the realm of neuro, and only some of our data was neuro.   Nice to see this,  makes me think.

The Brain’s ‘Background Noise’ May Be Meaningful After All

By digging out signals hidden within the brain’s electrical chatter, scientists are getting new insights into sleep, aging, and more.

AT A SLEEP research symposium in January 2020, Janna Lendner presented findings that hint at a way to look at people’s brain activity for signs of the boundary between wakefulness and unconsciousness. For patients who are comatose or under anesthesia, it can be all-important that physicians make that distinction correctly. Doing so is trickier than it might sound, however, because when someone is in the dreaming state of rapid-eye movement (REM) sleep, their brain produces the same familiar, smoothly oscillating brain waves as when they are awake.  ... " 

Saturday, February 20, 2021

Airlines to Ask Contact Information

Expected, likely useful.  A firm requirement?   Will it get the usual pushback on privacy?

Airlines plan to ask passengers for contact-tracing details

In this Thursday, Feb. 18, 2021, file photo, travelers wear face coverings as they queue up at the north security checkpoint in the main terminal of Denver International Airport, in Denver. Major U.S. airlines say they will ask passengers on flights to the United States for information that public health officials could use for COVID-19 contact tracing. The trade group Airlines for America said Friday, Feb. 19, that the carriers will turn over the information to the Centers for Disease Control and Prevention. (AP Photo/David Zalubowski, File)

The U.S. airline industry is pledging to expand the practice of asking passengers on flights to the United States for information that public health officials could use for contact tracing during the pandemic.

An industry trade group said Friday that the carriers would turn over the information to the U.S. Centers for Disease Control and Prevention, which could use it to contact passengers who might be exposed to the virus that causes COVID-19.

Delta and United have been doing that since December. On Friday, an industry trade group said that American, Southwest, Alaska, JetBlue and Hawaiian will also ask passengers to make their names, phone numbers, email and physical addresses available to the CDC.  ... "

Restoring Notre-Dame with VR

Very impressive imagery on current state and progress of Notre-Dame Damage and restoration. Certainly a model for future work of this kind.  Includes video describing work.

Cathédrale Notre-Dame Rescue Is Buttressed by Digital Wizardry  By Financial Times, February 17, 2021  in ACM

Art historians, architects, computer scientists, and digital designers from around the world are leveraging virtual reality (VR), three-dimensional modeling, and cloud computing technologies to create a "virtual twin" of the Notre-Dame cathedral in Paris, France, as part of its reconstruction following a 2019 fire.

The simulated cathedral will display the progress in real time using images streamed from inside the cathedral by robot-sentries outfitted with cameras. Engineers and experts on medieval architecture can move through the simulation while wearing VR headsets. Architectural drawings, post-fire scientific reports, and the provenance of specific building components can be accessed by clicking on any detail.

Artificial intelligence agents also are moving quickly through pre- and post-fire images to identify surviving sculpted and limestone elements that could be reintegrated into the site.

These techniques could be used to preserve ancient architecture virtually, reconstruct centuries-old sites, or create virtual museums for iconic cultural sites.

From Financial Times

Homomorphic Standards, Sample Efforts

Very useful piece with links to alternate standards and company efforts underway.  Much more at the link

Homomorphic Encryption Standardization

An Open Industry / Government / Academic Consortium to Advance Secure Computation

Standards Meetings

Additional introductory material on homomorphic encryption can be found on the Homomorphic Encryption Wikipedia page.

STANDARDIZATION

There are several reasons why we think this is the right time to standardize homomorphic encryption.

There is already dire need for easily available secure computation technology, and this need will be getting stronger as more companies and individuals switch to cloud storage and computing. Homomorphic encryption is already ripe for mainstream use, but the current lack of standardization is making it difficult to start using it.

Specifically, the current implementations are not easy enough to use by non-experts. The standard will push to uniformize and simplify their API, and educate the application developers about to use them.

The security properties of RLWE-based homomorphic encryption schemes can be hard to understand. The standard will present the security properties of the standardized scheme(s) in a clear and understandable form.

BASICS OF HOMOMORPHIC ENCRYPTION

Fully homomorphic encryption, or simply homomorphic encryption, refers to a class of encryption methods envisioned by Rivest, Adleman, and Dertouzos already in 1978, and first constructed by Craig Gentry in 2009. Homomorphic encryption differs from typical encryption methods in that it allows computation to be performed directly on encrypted data without requiring access to a secret key. The result of such a computation remains in encrypted form, and can at a later point be revealed by the owner of the secret key.... "

Friday, February 19, 2021

Fine Tuning Vendor Risk Management

Crucial these days. 

How to Fine-Tune Vendor Risk Management in a Virtual World  in Dark Reading by Ryan Smyth & Spencer MacDonald Managing Director / Director, FTI Technology  

Without on-site audits, many organizations lack their usual visibility to assess risk factors and validate contracts and SLA with providers.

Vendor risk management is nothing new to most security and privacy professionals. Programs for managing vendors are typically well-established and have run like clockwork for quite some time — with many firms requiring their critical vendors to allow access for periodic on-site assessments of privacy, security, and other controls. But as with so many things this year, the coronavirus pandemic has brought well-oiled vendor risk management processes to a screeching halt. Now, without the ability to conduct on-site audits, many organizations lack their usual visibility to assess risk factors and validate whether their providers are doing all they have agreed to in their contracts and service-level agreements (SLAs). 

This is particularly concerning given that vendors and third-party providers are a prime source of breaches in security, privacy and/or compliance. Risk Based Security reported that the incidence of breaches, "involving companies handling sensitive data for business partners and other clients," rose by 35% from 2017 to 2019 and exposed 4.8 billion records last year. ... '

Self Organizing Textiles from Cellular Automata

Always an interest here, rarely applied.

Cellular Automata

Self-Organising Textures    in Distill.

Neural Cellular Automata Model of Pattern Formation

Neural Cellular Automata (NCA ) are capable of learning a diverse set of behaviours: from generating stable, regenerating, static images to segmenting images to learning to “self-classify” shapes.

. The inductive bias imposed by using cellular automata is powerful. A system of individual agents running the same learned local rule can solve surprisingly complex tasks. Moreover, individual agents, or cells, can learn to coordinate their behavior even when separated by large distances. By construction, they solve these tasks in a massively parallel and inherently degenerate 2 way. Each cell must be able to take on the role of any other cell - as a result they tend to generalize well to unseen situations.

In this work, we apply NCA to the task of texture synthesis. This task involves reproducing the general appearance of a texture template, as opposed to making pixel-perfect copies. We are going to focus on texture losses that allow for a degree of ambiguity. After training NCA models to reproduce textures, we subsequently investigate their learned behaviors and observe a few surprising effects. Starting from these investigations, we make the case that the cells learn distributed, local, algorithms. ...."

The ENIAC Turns 75

 I used to walk past the site of the ENIAC lab on the way to class at the U of Pa, and even got a tour of the space once.  Impressive, 

ENIAC Turns 75  By Samuel Greengard,   Commissioned by CACM Staff

Programming ENIAC, the Electronic Numerical Integrator and Calculator (it was not called a computer, because "computers" at that time were people).

The history of computing is filled with mythical figures, but often lost in the shuffle is the accomplishment of John Mauchly and J. Presper Eckert, Jr. On February 14, 1946, the pair publicly unveiled the world's first true computer: ENIAC (Electronic Numerical Integrator and Computer). From their lab at the University of Pennsylvania in Philadelphia, they launched a revolution that truly changed the world.

On its 75th anniversary, ENIAC is once again in the spotlight. "It was the big bang of the information age. It set in motion a paradigm that has become the underpinning of daily life, as well as of deepest science," observes Bill Mauchly, an inventor and software architect who, as the son of John Mauchly, has also become a historian for the computer.

"ENIAC was the first digital programmable computer. It demonstrated what was possible," adds Thomas Haigh, professor of history at the University of Wisconsin, Milwaukee, and co-author of ENIAC in Action: Making and Remaking the Modern Computer (MIT Press).

A Calculated Approach

ENIAC, built at a then-astounding cost of $487,000, used 10 position ring counters to store digits. Each digit required 28 vacuum tubes that counted pulses on the ring counters to perform arithmetic. "Because it was electronic, it was thousands of times faster than anything that came before it," Haigh explains. "The machine would complete its work in a flash and spend most of its time waiting for human intervention."

The computer supported 200 decimal digits of writeable electronic memory spread across 20 "accumulators." It was a then-revolutionary development. ENIAC added by transmitting ten-digit numbers directly between accumulators, incrementing the contents of the destination counters. An "add time" was 200 microseconds. The accumulators worked in parallel, allowing up to 50,000 additions per second. A 10-digit by 10-digit multiplication required 14 add times, or a total of approximately 2,800 microseconds. A division or square root problem required 143 add times, or 28,600 microseconds.

To be sure, ENIAC was notable for more than simply being the world's first fully electronic computer. It was incredibly consequential. From the day it was introduced to the public via a front-page story in The New York Times to its retirement nearly a decade later, it tackled an array of real-world tasks including ballistics trajectory research, Monte Carlo simulations, weather predictions, and early hydrogen bomb research conducted by John von Neumann and others.

"Although the architecture and programming style were very idiosyncratic and not copied by any later machine, the ENIAC project built a foundation for more advanced computing models," says Mark Priestley, a research fellow at the U.K.'s National Museum of Computing and co-author of ENIAC in Action. This included the EDVAC (Electronic Discrete Variable Automatic Computer) design that, among other advances, introduced binary rather than decimal computing, and modern programming techniques. ... " 

Thursday, February 18, 2021

Detecting Object Permanence and more

Reinforcement learning problem. Learning like children do.

AI Agents Learned Object Permanence by Playing Hide and Seek

By IEEE Spectrum  February 17, 2021

Researchers at the Allen Institute for AI (AI2) demonstrated that artificial intelligence agents learned the concept of object permanence — that objects hidden from view are still there — by playing hide and seek.

The agents, playing as both hiders and seekers, learned the game "Cache" via reinforcement learning. The agents began learning about the environment by taking random actions, like pulling on drawers, and dropping objects in random places. Their game play improved as they learned from outcomes, with the hider, for instance, learning that it had selected a good hiding place when the seeker failed to find the object.

Subsequent testing showed that the agents understood the principles of containment and object permanence and were able to rank images based on how much free space they contained.

The agents performed as well or better than models trained on the gold-standard ImageNet.

From IEEE Spectrum

FHE for Using Encrypted Data

Very nicely done piece on the seeming paradox of FHE:

IBM Makes Encryption Paradox Practical  in IEEE Spectrum.

“Fully homomorphic” cryptography allows partial access to digital vaults without ever opening their locks  By Dan Garisto

How do you access the contents of a safe without ever opening its lock or otherwise getting inside? This riddle may seem confounding, but its digital equivalent is now so solvable that it’s becoming a business plan. 

IBM is the latest innovator to tackle the well-studied cryptographic technique called fully homomorphic encryption (FHE), which allows for the processing of encrypted files without ever needing to decrypt them first. Earlier this month, in fact, Big Blue introduced an online demo for companies to try out with their own confidential data. IBM’s FHE protocol is inefficient, but it’s workable enough still to give users a chance to take it for a spin. 

Today’s public cloud services, for all their popularity, nevertheless typically present a tacit tradeoff between security and utility. To secure data, it must stay encrypted; to process data, it must first be decrypted. Even something as simple as a search function has required data owners to relinquish security to providers whom they may not trust. .... "

See IBM's   Homomorphic Encryption Services demonstration  "  Unlock the value of sensitive data without decryption to preserve privacy .. " 

Remote Access Cautions

 Good more balanced view of the recent SCADA threat in infrastructure.  Remote access is a classic potential security weakness.    Have myself been involved in the need to monitor and control industrial systems remotely   The failure was not including several elements in the remote connection.    Fix that now, early warnings are good.  Good points made here: 

Increased uptime? Check. Better access to outside expertise? Check. Improved first-time-fix rate? Check. in Tripwire

These are just some of the benefits of industrial remote access. Yet many customers are reluctant to embrace remote access. Not only that, but incidents such as the breach at the Oldsmar water utility might increase organizations’ reluctance to use remote access.

Using Oldsmar as an Example

The benefits of remote access should not be in dispute. So rather than making remote access the scapegoat, let’s consider the incident at Oldsmar water utility briefly.

It has been established that the nefarious actor was able to access the SCADA system via TeamViewer. The details of how they were able to gain access via TeamViewer is still unknown.

So, based on this information, TeamViewer is the villain, correct?

The answer is not binary. TeamViewer serves a legitimate purpose if used correctly. In this instance, to understand if TeamViewer was the right tool, let’s consider the application more closely.

As a water authority, the Oldsmar plant’s main KPI is to keep the plant operational 24/7 because we all want safe and clean drinking water when we start the tap! This means minimal downtime, timely notifications of any alarms and the ability to diagnose faults promptly. Remote access is an essential tool to achieve this objective. The remote user does not need access to the utility’s IT network to keep the plant operational. And, this is the key – IT and OT’s remote access needs are different .... " 

SAS: How AI Changes the Rules

Looks to be a good paper from SAS, below an overview, link through for more.  Always liked how SAS looked at the broader aspect of 'analytics'.  Reading.

How AI Changes the Rules

New Imperatives for the Intelligent Organization

About this paper

Many leaders are excited about AI’s potential to profoundly transform organizations by making them more innovative and productive. But implementing AI will also lead to significant changes in how organizations are managed, according to our recent survey of more than 2,200 business leaders, managers and key contributors. Those survey respondents, representing organizations across the globe, expect that reaping the benefits of AI will require changes in workplace structures, technology strategies and technology governance.to manage the significant changes to software development and deployment processes that most respondents expect from AI.

AI will drive organizational change and ask more of top leaders. The majority of survey respondents expect that implementing AI will require more significant organizational change than other emerging technologies including cloud. AI demands more collaboration among people skilled in data management, data analytics, IT infrastructure, and systems development, as well as business and operational experts. This means that organizational leaders need to ensure that traditional silos don’t hinder advanced analytics efforts, and they must support the training required to build skills across their workforces.

AI will place new demands on the CIO and CTO. AI implementation will influence the choices CIOs and CTOs make in setting their broad technology agendas. They will need to prioritize developing foundational technology capabilities, from infrastructure and cybersecurity to data management and development processes — areas in which those with more advanced AI implementations are taking the lead compared with other respondents. CIOs will also need to manage the significant changes to software development and deployment processes that most respondents expect from AI. The survey also indicated that many CIOs will be charged with overseeing or supporting formal data governance efforts: CIOs and CTOs are more likely than other executives to be tasked with this.

AI will require an increased focus on risk management and ethics. The Global survey shows a broad awareness of the risks inherent in using AI, but few practitioners have taken action to create policies and processes to manage risks, including ethical, legal, reputational, and financial risks. Managing ethical risk is a particular area of opportunity. Those with more advanced AI practices are establishing processes and policies for data governance and risk management, including providing ways to explain how their algorithms deliver results. They point out that understanding how AI systems reach their conclusions is both an emerging best practice and a necessity, in order to ensure that the human intelligence that feeds and nurtures AI systems keeps pace with the machines’ advancements.

The report that follows explores these findings in depth. Read on to learn more about the changes that leaders must prepare for to successfully implement trusted AI.  .. "

Addressing Sheet Metal Design Waste

 Note the connection between design and fabrication. in a workflow.  Minimizing waste.   If you have a model of workflow, its easier to look at things like design and waste,  And AI methods can address patterns that minimize waste. 

MIT CSAIL taps AI to reduce sheet metal waste  By Kyle Wiggers @Kyle_L_Wiggers  in Venturebeat

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) say they’ve created an AI-powered tool that provides feedback on how different parts of laser-cut designs should be placed onto metal sheets. By analyzing how much material is used in real time, they claim that their tool — called Fabricaide — allows users to better plan designs in the context of available materials.

Laser cutting is a core part of industries spanning from manufacturing to construction. However, the process isn’t always efficient. Cutting sheets of metal requires time and expertise, and even the most skillful users can produce leftovers that go to waste.

Fabricaide ostensibly solves this with a workflow that “significantly” shortens the feedback loop between design and fabrication. The tool keeps an archive of what a user has done, tracking how much of each material they have left and allowing the user to assign multiple materials to different parts of the design to be cut. This simplifies the process so that it’s less of a headache for multimaterial designs.

Searchandising

OK, the term is completely new to me, this Algolia advertising piece links to a free ebook/pamphlet that describes it.

Searchandising: 9 best practices for better conversion rates,  Posted: February 18, 2021

Merchandising is a critical part of the search journey, and searchandising is becoming a discipline in its own right.

Search is a strong driver of sales and revenue. Amazon’s conversion rate shoots up 6x when visitors do a search (for Walmart 4x, and Etsy 3x).

Read this ebook to learn how to become an expert in searchandising, whether you’re a beginner or a more tenured online merchandiser. These 9 best practices for better conversion rates come from tried-and-tested strategies customers have implemented.  ... " 

Enhancing Data Security

Its data, getting it and securely putting it to use.  Always highlighted in emergency situations.

Microsoft enhances data security in Power BI business intelligence apps  By  Mike Wheatley in SiliconAngle

Microsoft Corp. is beefing up the security capabilities of its Power BI business intelligence tools with new network isolation and data protection features that help to ensure customer’s information will never be compromised.

Data is, of course, at the core of Microsoft Power BI, which is the collective name for a suite of cloud-based apps and services that enterprises can use to collate, manage and analyze information from a wide range of sources to obtain more business insights from it.

Power BI is used by workers to transform raw data such as sales figures into graphical visualizations that present a clearer picture of what’s happening inside their business. The service can tap into data from numerous sources such as simple Excel spreadsheets, Oracle databases and various cloud-based and on-premises applications.

That data needs to be kept secure, and in today’s announcement, Arun Ulagaratchagan, corporate vice president of Business Intelligence Platform at Microsoft, detailed the newest capabilities in Power BI that are designed to ensure this.  ... " 

Connected Communications

Satellite connectivity for challenges like emergency communications. 

Connecting machines in remote regions  by Zach Winn, Massachusetts Institute of Technology

On Nov. 26, seven fishermen aboard a small fishing boat off the coast of Maharashtra in western India were struck with panic when their vessel was damaged and began to sink. The panic was warranted: The boat was too far from shore to radio for help.

Tens of thousands of fishermen find themselves in a similar situation around the world every year. Globally, the vast majority of small, deep-sea fishing vessels do their work totally disconnected, leaving them vulnerable to storms and other disasters.

At the root of the problem is the high cost of satellite connectivity in areas like oceans, forests, and mountains, which make up the majority of the Earth's landmass. Now the startup Skylo, co-founded by Parth Trivedi SM '14, is offering the ability to communicate with satellites from anywhere on the planet for less than 10 dollars a month.

Skylo's team has developed a new antenna and communication protocol that allows machines, sensors, and other devices to efficiently transmit data to the geostationary satellites already deployed in space. The company says its technology enables satellite communications at less than 5 percent of the cost of existing solutions and could bring an "internet of things" revolution in the world's most remote regions.

With the Skylo Hub, which resembles a modem and contains the company's proprietary antennae, deep-sea fishermen can go from being isolated and vulnerable to having the ability to send out emergency communications, receive storm alerts, and even sell their catch before they return to port. Farmers in remote regions can get real-time data on weather forecasts, soil content, and crop health. Truck drivers and fleet operators that were previously invisible for large stretches of their journeys can be precisely located and their cargo monitored. ... " 

Wednesday, February 17, 2021

Military Digitization

 An approach to military digitization, also for peace time efforts of crisis management and disaster recovery. 

German Armed Forces Order Deployable Mission-Critical Communication Networks from Motorola Solutions to Drive Greater Digitization  in BusinessWire

Contract value of the framework agreement is worth 254 million euros.

CHICAGO--(BUSINESS WIRE)--Digitization is one of the highest priorities for the German Armed Forces. It will help to increase efficiency of operations and safety for soldiers and civilian personnel. Secure and reliable voice communications as well as access to data are central drivers for efficiency and responsiveness on any successful mission.

Cross-agency communication is also a prerequisite for successful cooperation between different teams, particularly in the event of a crisis or disaster. As part of the digitization of land-based operations and to ensure fast communication in various areas in the field, the German Armed Forces (Bundeswehr) are procuring deployable communication networks, which are available in two versions, mobile and stationary. The modernization marks an important milestone within the Bundeswehr's military’s digitization strategy.... "

More Biometrics for Identification

Handprints are a much older biometric ID capability, and iris scanning is also well known.  We tested the methods in our innovation centers. 

MIT News,Rachel Gordon,February 8, 2021

AI Can Use the Veins on Your Hand Like Fingerprints to Identify You  By New Scientist

February 17, 2021

Researchers at the University of New South Wales have developed a technique that identifies individuals using the unique pattern of veins on the back of their hands.

The researchers used 500 photos of the hands of 35 people to train a neural network to connect the pattern of veins to a particular subject. The model identified the test subjects with an accuracy rate of 99.8%, then identified four new subjects not included in the original dataset with a 96% accuracy rate.

Researcher Syed Shah at the university said vein detection is reliable for people of all ethnicities and is less vulnerable to attacks than existing biometric tests using fingerprints or face recognition. The technique potentially could be adapted for use with smartphones and CCTV cameras, Shah said. 

From New Scientist  .. 

Fabricating Functional Devices and Drones

3D Printing and more.  Impressive too for spacecraft?  

Fabricating Fully Functional Drones  From MIT CSAIL

Researchers at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL) developed a three-dimensional (3D) printing system to manufacture functional, custom-made devices and robots like drones, without human intervention. CSAIL's Martin Nisser said, "By leveraging widely available manufacturing platforms like 3D printers and laser cutters, LaserFactory is the first system that integrates these capabilities and automates the full pipeline for making functional devices in one system." LaserFactory combines a software toolkit for custom design with a hardware platform, enabling users to fabricate structural geometry, print traces, and build electronic components like sensors and actuators. Said Nisser, "Beyond engineering, we're also thinking about how this kind of one-stop shop for fabrication devices could be optimally integrated into today's existing supply chains for manufacturing, and what challenges we may need to solve to allow for that to happen."


Perseverance Rover Landing, Testing Robotics

 Am a long time follower of advanced robotics. The Mars rover is set to arrive tomorrow.  With new advances in Torque and Force arm sensing in a harsh environment.   Look forward to seeing more demonstrated.

NASA’s Mars Rover Required a Special Touch for Its Robotic Arms

ATI Industrial Automation brings its Force/Torque Sensor from the factory floor to the harsh environment of Mars’ surface.

In July, NASA launched the most sophisticated rover the agency has ever built: Perseverance. Scheduled to land on Mars in February 2021, Perseverance will be able to perform unique research into the history of microbial life on Mars in large part due to its robotic arms. To achieve this robotic capability, NASA needed to call upon innovation-driven contractors to make such an engineering feat a reality.

One of the company’s that NASA enlisted to help develop Perseverance was ATI Industrial Automation. NASA looked to have ATI adapt the company’s own Force/Torque Sensor to enable the robotic arm of Perseverance to operate in the environment of space. ATI Force/Torque sensors were initially developed to enable robots and automation systems to sense the forces applied while interacting with their environment in operating rooms or factory floors. ... " 

On the Ethics of AI

Concise piece on the topic from Cisco

Analytics & Automation

Ethics of Artificial Intelligence  in Cisco Blog

Utkarsh Srivastava

Intelligent machines have helped humans in achieving great endeavors. Artificial Intelligence (AI) combined with human experiences have resulted in quick wins for stakeholders across multiple industries, with use cases ranging from finance to healthcare to marketing to operations and more. There is no denying the fact that Artificial Intelligence (AI) has helped in quicker product innovation and an enriching user experience. However, few of these use cases include context-aware marketing, sales forecasting, conversational analytics, fraud detection, credit scoring, drug testing, pregnancy monitoring, self-driving cars – a never-ending list of applications.

But the very idea of developing smart machines (AI-powered systems) raises numerous ethical concerns. What is the probability that these smart machines won’t harm humans or other morally relevant beings? Matthew Hutson, a research scientist from the Massachusetts Institute of Technology mentioned in one of his studies that AI algorithms embedded in digital and social media technologies can reinforce societal biases, accelerate the spread of rumors and disinformation, amplify echo chambers of public opinion, hijack our attention, and impair mental well-being. Earlier discussions related to this concept of “Data and AI ethics” were only limited to non-profit organizations and academic institutions. But with the rapidly changing industry spectrum, global tech giants are putting together fast-growing teams to handle the ethics of AI. And as these companies have invested more due diligence into the challenge, they’ve discovered that the majority of these ethical issues arise during the lifecycle of data resulting from the widespread collection and processing of data to train AI models. ... '

GIS Data for Covid Vaccination Distribution

 Off to get my Covid vaccination this morning and saw this:

How GIS Data Can Help Fix Vaccine Distribution in Information Week

Esri Chief Medical Officer Este Geraghty explains how geographic data and maps can streamline COVID-19 vaccine distribution planning.

Chances are you know someone who has received a COVID-19 vaccine. About one in 10 Americans have been vaccinated so far. But as 50 states with 50 different plans scramble to get their populations vaccinated against the novel coronavirus, the race is on for the US to get to a point where all the people who want a shot get a shot.

Any effort of this magnitude is bound to run into logistical and execution challenges along the way. How do you allocate the correct number of doses to each state and to each facility delivering vaccines? How many workers do you need to administer the shots? How far do people have to travel to receive shots?

Another necessary factor that complicates vaccine delivery is that the US is phasing its approach, vaccinating healthcare workers and essential employees and older citizens first. Vaccines are being administered at veterans’ services centers, state sites, hospitals, and many other venues. The government is working to establish a retail pharmacy vaccination program. It's a complex delivery system.  ... "

Tuesday, February 16, 2021

IBM on AI Explainability

Think of how humans interact in a conversation.   We require an appropriate in-context level of explainability to support and trust what we hear.   We would expert an intelligent agent to answer questions like:  Tell me more about that.  Or how did it get to that conclusion?    What data was used?   How will the results of the AI outputs be used?   What are the risks involved using the results? ....

IBM’s Arin Bhowmick explains why AI trust is hard to achieve in the enterprise  By Michael Vizard  @mvizard,   in Venturebeat  February 16, 2021  

While appreciation of the potential impact AI can have on business processes has been building for some time, progress has not nearly been as quick as many initial forecasts led many organizations to expect.

Arin Bhowmick, chief design officer for IBM, explained to VentureBeat what needs to be done to achieve the level of AI explainability that will be required to take AI to the next level in the enterprise. ... ' 

US Cyber Command

 I did training at Ft Meade.  Have not taken a look at the US Cyber Command site for some time. Note their new training platform.  Worth following. 

https://www.cybercom.mil/

Fort Meade, Md. - PCTE is a training platform supporting standardized Joint Cyberspace Operations Forces individual sustainment training, team certification, mission rehearsal and provides the foundation for collective training exercises. It leverages existing connectivity to facilitate the sharing of resources, and provides additional cyber “maneuver space.” PCTE enables realistic training with variable conditions to increase readiness and lethality of our Cyberspace Operations Forces, while standardizing, simplifying, and automating the training management process.  ... 

AI Behind in Recognizing Emotions

Fairly clear, and also in our experience when the motion was of the 'satire' type.  Faces could be used to signal opposite emotions as well

Artificial intelligence still lags behind humans at recognising emotions  by University College London

When it comes to reading emotions on people's faces, artificial intelligence still lags behind human observers, according to a new study involving UCL.

The difference was particularly pronounced when it came to spontaneous displays of emotion, according to the findings published in PLOS One.

The research team, led by Dublin City University, looked at eight "out of the box" automatic classifiers for facial affect recognition (artificial intelligence that can identify human emotions on faces) and compared their emotion recognition performance to that of human observers.

The researchers found found that the human recognition accuracy of emotions was 72% whereas among the artificial intelligence tested, the researchers observed a variance in recognition accuracy, ranging from 48% to 62%.

Lead author Dr. Damien Dupré (Dublin City University) said: "AI systems claiming to recognize humans' emotions from their facial expressions are now very easy to develop. However, most of them are based on inconclusive scientific evidence that people are expressing emotions in the same way.  .... "

Boosting Inbound Sales

This happened to come up in a conversation last week.   Good summary below and more detail at the link.

4 Behaviors that Boost Inbound Sales  by Matthew Dixon, Ted McKenna, and Tom Shepherd  in  HBR

Summary.   

Particularly during the pandemic, when face-to-face visits with customers have been constrained, inbound selling in calls centers has become more important to company revenue. New research uses recordings of millions of such calls, analyzes the way salespeople drive the conversation, and record whether the call results in a sale. This analysis shows four behaviors that play the biggest role in converting callers into buyers: Disqualifying callers who shouldn’t be dealing with a salesperson, prescribing a solution to the customer problem, digging into objections, and de-risking the purchase so callers don’t get off the phone to “think it over.” Only 1% of calls contained all four of these behaviors — but when they did, 70% of calls resulted in a sale.   ... '

Post-Quantum Crypto

 Will Quantum be able to cut through Crypto?   Effects on other solution expectations?

The Scramble for Post-Quantum Cryptography

By Samuel Greengard,  Commissioned by CACM Staff,  February 4, 2021

Researchers are working to counter the threat to current communications posed by the nascent quantum computing arena, which could undermine almost all of the encryption protocols used today.

History has demonstrated that where there are people, there are secrets. From elaborately coded messages on paper to today's sophisticated cryptographic algorithms, a desire to maintain privacy has persisted. Of course, as technology has advanced, the ability to cipher messages but also crack the codes has grown.

"Today's encryption methods are excellent, but we are reaching an inflection point," says Chris Peikert, an associate professor in the Department of Science and Engineering at the University of Michigan Ann Arbor. "The introduction of quantum computing changes the equation completely. In principle, these devices could break any reasonably-sized public key."

Such an event would wreak havoc. "It would affect nearly everything we do with computers," says Dustin Moody, a mathematician whose focus at the U.S. National Institute of Standards and Technology (NIST) includes computer security. Within this scenario, he says, computing subsystems, virtual private networks (VPNs), and digital signatures would no longer be secure. As a result, personal data, corporate records, intellectual property, and online transactions would all be at risk.

Consequently, cryptographers are developing new encryption standards that would be resistant to the brute force power of quantum computing. At the center of this effort is an initiative at NIST to identify both lattice-based and code-based algorithms that could protect classical computing systems but also introduce new and more advanced capabilities.  ... '

Data Lineage Platform

First I had heard of this kind of platform,  we had used semantic web models. to create models of enterprise data.  Can this be used in conjunction with semantic models?    Also addresses the data as an asset measure. 

Solidatus raises $19.5 million to expand its enterprise data lineage platform

Paul Sawers @psawers  in Venturebeat,   February 15, 2021  

Solidatus, a U.K.-based data management and modeling platform for enterprises, has raised £14 million ($19.5 million) in a series A round of funding led by AlbionVC, with participation from HSBC Ventures and Citi — both Solidatus clients.

Founded out of London in 2011, Solidatus helps businesses monetize their data by charting the data journey from its origin while noting any transformations and presenting anything relevant in a visual format. This can be particularly pertinent for highly regulated industries, such as banking, where businesses may need to provide detailed accounts of all their data. Solidatus helps ensure that all that data is “cataloged and owned,” as the company puts it. ... ' 

US Infrastructure Attack

Broadly reported last week.  Was later pointed out that such local systems are universally poorly funded and protected.  And this is unlikely to be improved given the current business models of such systems.

A relatively rare SCADA attack on infrastructure occurs in the US.  By allowed remote access.  

Poor Password Security Led to Recent Water Treatment Facility Hack

By The Hacker News, February 11, 2021

New details emerging about the remote computer intrusion at a Florida water treatment facility last week highlight a lack of adequate security measures to protect critical infrastructure environments.

New details have emerged about the remote computer intrusion at a Florida water treatment facility last Friday, highlighting a lack of adequate security measures needed to bulletproof critical infrastructure environments.

The breach, which occurred last Friday, involved an unsuccessful attempt on the part of an adversary to increase sodium hydroxide dosage in the water supply to dangerous levels by remotely accessing the SCADA system at the water treatment plant. The system's plant operator, who spotted the intrusion, quickly took steps to reverse the command, leading to minimal impact.

Now, according to an advisory published on Wednesday by the state of Massachusetts, unidentified cyber actors accessed the supervisory control and data acquisition (SCADA) system via TeamViewer software installed on one of the plant's several computers that were connected to the control system.

From The Hacker News 

Monday, February 15, 2021

IBM Uses Continual Learning

Forgetting in Neural Networks.  Intro is good, well worth understanding the topic, then becomes technical.

IBM Uses Continual Learning to Avoid The Amnesia Problem in Neural Networks

Tags: IBM, Learning, Neural Networks, Training  in KDNuggets

Using continual learning might avoid the famous catastrophic forgetting problem in neural networks.

SAS AI/ML Training

By Jesus Rodriguez, Intotheblock.

I often joke that neural networks suffers from a continuous amnesia problem in the sense that they every time they are retrained they lost the knowledge accumulated in previous iterations. Building neural networks that can learn incrementally without forgetting is one of the existential challenges facing the current generation of deep learning solutions. Over a year ago, researchers from IBM published a paper proposing a method for continual learning  proposing that allow the implementation of neural networks that can build incremental knowledge.

Neural networks have achieved impressive milestones in the last few years from beating Go to multi-player games. However, neural network architectures remain constrained to very specific domains and unable to transition its knowledge into new areas. Furthermore, current neural network models are only effective if trained over large stationary distributions of data and struggle when training over changing non-stationary distributions of data. In other words, neural networks can effectively solve many tasks when trained from scratch and continually sample from all tasks many times until training has converged. Meanwhile, they struggle when training incrementally if there is a time dependence to the data received. Paradoxically, most real world AI scenarios are based on incremental, and not stationary, knowledge. Throughout the history of artificial intelligence(AI), there have been several theories and proposed models to deal with the continual learning challenge.  ... " 

Robot Swarming Satellites

Recall our interest in swarming cooperating solutions here.

Robot Satellite Swarms Increase Communication PossibilitiesBy ZDNet, February 11, 2021 in ACM

Carnegie Mellon University researchers prepare CubeSats for space. 

A National Aeronautics and Space Administration mission now underway is an experiment to maximize the effectiveness of CubeSats.  A U.S. National Aeronautics and Space Administration (NASA) mission currently underway aims to maximize the effectiveness of CubeSats—tiny, cost-effective satellites—by showing how they could track and communicate with each other.

The V-R3x mission will test three CubeSats and the underlying technologies that could pave the way for autonomous swarming satellites.  Said Carnegie Mellon University's Zac Manchester, "This mission is a precursor to more advanced swarming capabilities and autonomous formation flying."

Swarms of satellites, potentially numbering in the thousands and working cooperatively, could be used for communications, imaging, and forecasting tasks.  Manchester added, "The satellites will wake up and do their thing autonomously. We mainly need to make sure that we get their data downloaded." ... '

Try Solving with Optimization

With all the talk about AI in the air, some of the other fundamental methods are being forgotten.   I spent most of my career using and teaching direct optimization methods in the enterprise.   Below a quick overview.   I am not particularly recommending this particular company, but they did a good job presenting the description.  Consider optimization .... it can be be better, easier to use and more direct than AI for the right applications.  It often uses less data.  It is often used for very complex models.   Every decision problem solver should have it in their capabilities.   As a manager I always ask, have we tried an optimization?   Have said it here many times, here it is again. 

What Must I Do to Use a Solver?

To use a solver, you must build a model of your decision problem that specifies:

The decisions to be made, called decision variables,

The measure to optimize, called the objective,

Any logical restrictions on potential solutions, called constraints.

The solver will find values for the decision variables that satisfy the constraints while optimizing (maximizing or minimizing) the objective. ...  " 

Sunday, February 14, 2021

Ready for the Next Pandemic

Lets do this without destroying the education of the current generation. 

A number of articles on the proposition that we will be ready.  in IEEE Spectrum

COVID-19 has galvanized tech communities. The tens of billions we’re spending on vaccines, antivirals, tests, robots, and devices are transforming how we’ll respond to future outbreaks of infectious disease.

Here’s How We Prepare for the Next Pandemic

If we keep developing the tech that has been supercharged for COVID-19, it never has to be this bad again By Eliza Strickland and Glenn Zorpette  ... 

Quality Assurance and IOT

Been involved in the testing and utilizing of many IOT devices for the smarthome, and in the process found many bugs in process and software,     So quality assurance is a big deal to hope to effectively test and deliver robust systems.   If your IOT device is gathering data from sensors, a common approach, consider the implications for embedded downstream ML, analytics and decision making.

The relationship between QA and the success of IoT devices

Posted by Hemanth Kumar Yamjala on February 1, 2021 in IOT Central

In an increasingly tech-driven world, the Internet of Things holds a special place. It helps to connect devices and establish communication among them through the use of embedded software. According to Statista, the global revenue projection for IoT devices in 2021 will be worth 520 billion USD. This exemplifies how the Internet of Things is slowly but steadily taking the digital world by storm and is capable of adding economic value to diverse markets. At the core of such devices are the sensors with embedded software that help to automate processes, connect domains, and deliver superior user experiences. The terms like smart homes and smart cities are no longer in the realm of fiction but a reality where data mined from myriad sensors are processed to perform specific activities for delivering great user experiences.

The Internet of Things (IoT) is a network of connected devices through sensors or embedded technologies that interact with the external and internal environment to arrive at intelligent decisions. The IoT ecosystem comprises three core components:

Things: The real-world physical objects or devices containing sensors and embedded software to interact or communicate with the external environment.

Communication: The networking component allowing communication between IoT devices and the external environment comprises protocols. 4G for LAN, Wi-Fi for LAN, and Zigbee, BLE, and ANT+ for PAN.

Computing: It is executed on a computer or mobile device at two levels – to take intelligent decisions within the ecosystem and to create a vital link for data analysis. By analyzing mined data, the computing component makes intelligent decisions possible.

A real-life example related to the three components is the car’s navigation system. Here, the ‘thing’ is the actual hardware present in the console, which ‘communicates’ with satellite readings to ‘compute’ and deliver data for the driver to take notice.

Since the IoT ecosystem can have real-time implications for individuals, enterprises, and entities, IoT device testing should be accorded top priority. The critical role of the Internet of Things QA testing is based on validating the software and hardware components and checking if the transmitted data leads to real-time intelligence. Let us understand why it is important to apply QA to the IoT ecosystem?  ... " 

A Updated Look at No-Code/Lo-Code

 A long time interest of mine:  How do we make complex things with much less code ... with no code if possible?   More productive.   Making it more secure as well.    Also includes much automated coding.  Here an update of the space:  Its coming fast:

No-code/low-code: Why you should be paying attention

Setrag Khoshafian, Khosh Consulting  in VentureBeat,  February 14, 2021 6:20 AM

We’ve all been hearing the hype lately about low-code and no-code platforms. The promise of no-code platforms is that they’ll make software development just as easy as using Word or PowerPoint so that the average business user can move projects forward without the extra cost (in money and time) of an engineering team. Unlike no-code platforms, low-code platforms still require coding skills but promise to accelerate software development by letting developers work with pre-written code components.

According to Gartner, 65% of application development will be low code by 2024.

I was involved in an early comparative productivity benchmark test between traditional development (using Java) and a model-driven low-code/no-code development project back in 2017. The results were impressive: 5X to 7X productivity improvement with low-code/no-code development. A survey by No-Code Census in 2020 showed a 4.6X productivity gain over traditional programming.... '

Visualized Quantum Computing

Nicely done, largely non technical.   Visual look by an academicjust learning about the topic.:

Visualizing Quantum Computation  in TowardsdataScience

From Zero to Understand What the Hack is Happening!

Alessandro Berti

Hi there! I’m a Ph.D. student at University of Pisa and my research topic is Quantum Computing!

My First Approach to Quantum Computing

I have to be honest, the very first approach to Quantum Computing is struggling, especially for those who come from a CS degree ( just like me :) ). There is a little to which you can hang on based on your classical computer scientist experience.

One problem in quantum computation is for sure a visualization problem.

Can you understand what the following quantum circuit does?

Figure 1. What is this Quantum Cirtcuit? [Image by Author]

If you are a beginner, probably no. I had the same problem too!

I do believe that this way of representing the code of a quantum algorithm in quantum circuits misses “a dimension”. This kind of representation tricked me. It was implicitly forcing me to reason in a 2D dimension while the reality was in 3D, so I was unable to visualize it properly. ... " 

AI Cyber Defense for Zero-Day Threats

Don't see how this works without lots of operational data to leverage.   And might it not be thwarted by adapting the system in some way?  And a good understanding of system context.  I like the experimental thought though.   Like we predicted long ago, that such systems will ultimately adapt and defenses counter adapt.   Zero day cyber threats are those which are initially unknown to owners/developers of a system, and thus can be leveraged before an active defense is mounted.     

Algorithm May Be the Key to Timely, Inexpensive Cyber DefenseBy Penn State News, February 12, 2021

A team led by researchers at The Pennsylvania State University used a machine learning approach based on reinforcement learning to create an adaptive cyber defense against zero-day attacks.

A team of researchers led by The Pennsylvania State University (Penn State) has developed an adaptive cyber defense against zero-day attacks using machine learning.

The new technique offers a powerful, cost-effective alternative to the moving target defense method used to detect and respond to cyberattacks.

Reinforcement learning enables the decision maker to learn to make the right choices by choosing actions that maximize rewards.

Said Penn State's Peng Liu, "The decision maker learns optimal policies or actions through continuous interactions with an underlying environment, which is partially unknown. So, reinforcement learning is particularly well-suited to defend against zero-day attacks when critical information—the targets of the attacks and the locations of the vulnerabilities—is not available."

From Penn State News  .... 

Saturday, February 13, 2021

Light Driven 3D Printing

See images at the link.   Improving speed and precision.

Dynamic 3D Printing Process Features Light-Driven Twist

By Northwestern McCormick School of Engineering,   February 12, 2021

Northwestern University engineers developed a method that uses light to improve three-dimensional printing speed and precision.

Researchers at Northwestern University have a developed a three-dimensional (3D) printing technique that uses a liquid photopolymer activated by light and a high-precision robotic arm that allows each layer to be moved, rotated, or dilated as the structure is being built.

Said Northwestern's Cheng Sun, "Now we have a dynamic process that uses light to assemble all the layers but with a high degree of freedom to move each layer along the way.”

The continuous printing process allows 4,000 layers to be printed in about two minutes.

The researchers used their method to 3D-print a customized vascular stent, a soft pneumatic gripper made of one hard and one soft material, a double helix, and a mini Eiffel Tower.

From Northwestern McCormick School of Engineering  ...

Micrometeorites are Falling

Now for something completely different, from studies of mine long ago.   Did you know that there is a near continuous shower of space dust falling down on us?  Tiny cosmic meteorites.  And there are simple means of gathering some of these?  We used analytic methods to determine their nature and type.  Some of my earliest ML-style efforts.   Saw this repeated in a recent documentary:  Fireball by Werner Herzog.  Here supporting information.  The first more technical, the second a paywalled but more accessible NYT article.

https://pubs.geoscienceworld.org/gsa/geology/article/45/2/119/195213/An-urban-collection-of-modern-day-large

https://www.nytimes.com/2017/03/10/science/space-dust-on-earth.html 

Weaknesses in ML

I like explanations of how a solution works in real world contexts.   Lots of work to still do.

Uncovering Unknown Unknowns in Machine Learning  Google Blog., Thursday, February 11, 2021

Posted by Lora Aroyo and Praveen Paritosh, Research Scientists, Google Research

The performance of machine learning (ML) models depends both on the learning algorithms, as well as the data used for training and evaluation. The role of the algorithms is well studied and the focus of a multitude of challenges, such as SQuAD, GLUE, ImageNet, and many others. In addition, there have been efforts to also improve the data, including a series of workshops addressing issues for ML evaluation. In contrast, research and challenges that focus on the data used for evaluation of ML models are not commonplace. Furthermore, many evaluation datasets contain items that are easy to evaluate, e.g., photos with a subject that is easy to identify, and thus they miss the natural ambiguity of real world context. The absence of ambiguous real-world examples in evaluation undermines the ability to reliably test machine learning performance, which makes ML models prone to develop “weak spots”, i.e., classes of examples that are difficult or impossible for a model to accurately evaluate, because that class of examples is missing from the evaluation set.

To address the problem of identifying these weaknesses in ML models, we recently launched the Crowdsourcing Adverse Test Sets for Machine Learning (CATS4ML) Data Challenge at HCOMP 2020 (open until 30 April, 2021 to researchers and developers worldwide). The goal of the challenge is to raise the bar in ML evaluation sets and to find as many examples as possible that are confusing or otherwise problematic for algorithms to process. CATS4ML relies on people’s abilities and intuition to spot new data examples about which machine learning is confident, but actually misclassifies.  ... 

Omnichannel Search Using AI

 Brought to my attention, they link to an e-book they offer.  Note the below is ad.  I am unconnected, have not tried this, but the thoughts and offer looked interesting.

The flexible AI-powered Search & Discovery platform

See: Algolia.

Create cutting-edge UX for web, apps & ecommerce.

Top 3 obstacles to great omnichannel and how to overcome them

After this year, there is no telling what the future holds for retail.

One thing is certain: consumers are online more than ever, expecting the best possible shopping experience, whatever platform they are on. But top-notch omnichannel is not easy.

Discover how to overcome the main obstacles to great omnichannel experiences and start increasing your conversion rate today.

In this eBook, you’ll learn about: Winning omnichannel strategies, How search gives you an edge in the competitive retail landscape, How to build great omnichannel search and discovery

How Decathlon, a leading sporting goods retailers, increased their conversion rates by 50% with their cutting-edge omnichannel strategy  .... "  

Friday, February 12, 2021

Predicting COVID Spikes

Hmm, caution with such causal seeming predictions.   But interesting.    

Google Search Can Help Predict Covid-19 Spikes   The Jerusalem Post, Zachary Keyser, February 8, 2021

Researchers from the U.K.'s University College of London (UCL) and Israel's Bar-Ilan University have found that spikes in Covid-19 cases could be predicted an average of 17 days in advance using online search data. The researchers developed an analytical model that compares Covid-19 symptom-related Google searches against spikes in Covid-19 cases. Symptoms identified by the U.K.'s National Health Service and Public Health England are used by the model and weighted according to how frequently they occurred in confirmed Covid-19 cases. UCL's Vasileios Lampos said, "We have shown that our approach works on different countries irrespective of cultural, socioeconomic, and climate differences. Our analysis was also among the first to find an association between Covid-19 incidence and searches about the symptoms of loss of sense of smell and skin rash."  ... ' 

Standardizing Robot Operating Systems

Just because they use the same software does not mean they will 'get along'.   Still the use of software that can communicate will make them easier to update and exchange information.  

As Robots Fill the Workplace, They Must Learn to Get Along  By Wired, February 12, 2021

Singapore's Changi General Hospital is using software from Open Robotics to avoid standoffs among its robots in hallways or outside elevators.

The hospital's approximately 50 robots are from eight manufacturers, and the software enables robots from different manufacturers to communicate and negotiate safe passage around each other.  Open Robotics maintains the Robot Operating System (ROS) open-source software, but the software being used by Changi allows communication among robots not based on ROS.

The company hopes for more widespread adoption of such free, easily modified software to facilitate greater interoperability of workplace robots.

ABI Research's Rian Whitton said companies have been able to develop mobile robots more quickly thanks to ROS, and interoperability could accelerate through an open source platform.

From Wired  ... 

Autonomous Manufacturing Marketplace

Intriguing play here, will look into more details... pass them along and I will post an overview.

Fetch.ai partners with FESTO on decentralised manufacturing marketplace

AI blockchain startup Fetch.ai is partnering with industry veteran FESTO to launch a decentralised marketplace for manufacturing.

Fetch.ai is based in Cambridge, UK and has built an impressive team of talent with experience from DeepMind, Siemens, Sony, and a number of esteemed academic institutions. The company is working on decentralised autonomous “agents” which perform real-world tasks.

FESTO was founded in 1925 and currently produces and sells pneumatic and electrical control and drive technology. The company has continued to thrive over the years through consistent reinvention and likes to show off around once a year by developing bionic robots like its ‘flying fox’ which uses machine learning to optimise its flight behaviour with every manoeuvre:

The partnership with Fetch.ai is FESTO’s first foray into blockchain and shows how the company aims to remain at the cutting-edge of technological developments.

Fetch.ai will develop a decentralised manufacturing marketplace for FESTO to help transform the company’s existing control systems and make them more efficient.

Maria Minaricova, Director of Business Development at Fetch.ai, said:

“We are delighted to be able to announce a collaboration with such an advanced technology company like FESTO.

With FESTO’s contribution, we will be able to demonstrate in real life the benefits of autonomous AI agents in manufacturing and supply chain.

We look forward to working further with FESTO to bring about the wide adoption of these ground-breaking manufacturing innovations.”   .... '