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Sunday, September 20, 2020

YouTube in ChromeCast with Assistant

I have  just noticed the business perspective of having Youtube more closely connected with Chromecast. You can create lots of business snippets for projects there.  And if the assistant provides another useful capability with other angles?   And then link it all to Google docs too.

New leak of Google’s next Chromecast shows full remote with dedicated Netflix and YouTube buttons

There’s also a Google Assistant button

By Jay Peters@jaypeters

We might have just gotten our best look yet at the long-rumored new Chromecast and its dedicated remote, thanks to what appear to be leaked marketing renders posted by WinFuture. We already know Google plans to launch hardware, including a new Chromecast, at its September 30th event, so these renders could be showing off a product Google is very close to revealing.  ... " 

Wal-Mart Testing Drone Delivery too

Will drone retail delivery direct to consumer ever succeed? 

Walmart testing drones for deliveries in North Carolina city    by Anne D'innocenzio in TechExplore

Walmart launched a pilot program Wednesday using drones to deliver groceries and household essentials in a North Carolina city.

The retail giant is using drones from Flytrex in Fayetteville, where it says it hopes to gain insight into customers' and its workers' experience with the technology.

Tom Ward, senior vice president of customer products at Bentonville, Arkansas-based Walmart, acknowledged that it will be a while before drones are widely used for package deliveries.

"That still feels like a bit of science fiction, but we're at a point where we're learning more and more about the technology that is available and how we can use it to make our customers' lives easier," Ward wrote in a corporate blog.  ... "

More Japanese Humanoid Robotics

Why humanoid?  Impressive look and restocking a key retail problem.  Telepresence example.  In IEEE Spectrum

Video Friday: This Robot Will Restock Shelves at Japanese Convenience Stores

Your weekly selection of awesome robot videos

By Evan Ackerman, Erico Guizzo and Fan Shi

Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We’ll also be posting a weekly calendar of upcoming robotics events for the next few months; here's what we have so far (send us your events!):...   (events at the link) 

Tokyo startup Telexistence has recently unveiled a new robot called the Model-T, an advanced teleoperated humanoid that can use tools and grasp a wide range of objects. Japanese convenience store chain FamilyMart plans to test the Model-T to restock shelves in up to 20 stores by 2022. In the trial, a human “pilot” will operate the robot remotely, handling items like beverage bottles, rice balls, sandwiches, and bento boxes. ... "

Strategic Decisions from Wargaming?

In my early days worked with the DOD,  Used wargaming, but mostly about testing new technology as part of operational warfighting decisions.  Not broader strategy decisions.    So this interests me.

What Strategic Decisions on the Horizon for the Department of Defense Can Best Be Shaped Through Wargaming?
by Sebastian Joon Bae  RAND

August 3, 2020
Two strategic decisions hang heavy over the Department of Defense (DoD): 1) How does the DoD redesign the Joint Force to meet the challenges of future contingencies and wars? 2) How will the department pay for it? These questions are not new, but their importance cannot be understated. For years, all the services have been diligently pursuing potential answers, spurring a litany of emerging warfighting concepts and organizational restructuring. Examples abound from the Army's Multi-Domain Operations (PDF) and the Marine Corps' Expeditionary Advanced Base Operations to the establishment of Air Force Warfighting Integration Capability and Army's Future Command.

So, how could wargaming shape these decisions? The answer is simple: wargaming is already an integral part and should continue to be. As an incredibly adaptable analytical tool, wargaming can examine competing courses of action, explore the effects of emerging technologies, and assess operational concepts. This is reflected in the plethora of wargames examining the future force, both within the military and its federally funded research and development centers.

The role of wargaming in the ongoing transformation of the Marine Corps serves as a poignant example. In his 2019 Commandant's Planning Guidance, General David H. Berger, 38th Commandant of the Marine Corps (CMC), repeatedly emphasized the pivotal role of wargaming in force design, education, and training. The CMC argues that wargaming will not only inform future force design but could help educate and train future commanders. In the subsequent Force Design 2030 (PDF), the CMC again reinforced the utility of wargaming—ranging from concept refinement to the programming process. Moreover, Expeditionary Warrior, the Marine Corps' Title 10 wargame series, continues to support future concept development, including Future Maritime Operations and the Joint Operational Access Concept. The forthcoming state of the art wargaming center at Marine Corps Base Quantico reflects the service's embrace of wargaming, both as an educational and analytical tool. ...

Saturday, September 19, 2020

Uncertain Future of Corporate HQs

Questionable, though major HQs will likely still need the presence.   My guess is that many will be threatened. 

The Uncertain Future of Corporate HQs    in HBR by Richard Florida

The Covid-19 pandemic has seen tens of millions of Americans engage in a gigantic experiment in working from home — one that looks to be more permanent than anyone might have imagined. Corporation after corporation has announced that they won’t be reopening their offices until mid-2021, at least.  Some commentators are even predicting the death of the office and the end of cities.

But let’s not get too far ahead of ourselves. Now, more than ever, the issue of where we work — of place and location — remains a fundamental question.

Pandemics and other crises can disrupt or change the status quo, but history shows they can also accelerate trends already underway. The question of where to locate corporate facilities has been increasing in strategic importance for a long time. Corporations were facing a rising backlash to their perceived effects on housing prices and gentrification in superstar cities and tech hubs, and from attempts to hoard taxpayer-financed incentives   ....   '

This Device Keeps Voice Assistants From Snooping on You

For those with concern about this.seems a reasonable solution.  Still a  prototype as mentioned.

This Device Keeps Voice Assistants From Snooping on You
Ars Technica
Dan Goodin
July 14, 2020

A team of researchers from Germany's Darmstadt University, France's University of Paris Saclay, and North Carolina State University has developed a Raspberry Pi-based device that eventually may be able to warn users when Amazon's Alexa and other voice assistants are snooping on people. The researcher said the $40-prototype LeakyPick tool detects the presence of devices that stream nearby audio to the Internet with 94% accuracy. LeakyPick periodically emits sounds and monitors subsequent network traffic to identify audio transmissions, triggering an alert whenever the identified devices are confirmed as streaming ambient sounds. LeakyPick also tests devices for words that incorrectly trigger the assistants, having to date found 89 words that prompt Alexa to send audio to Amazon.  ... ' 

Friday, September 18, 2020

Cosmetic Surgery Goldmine?

A look at consequences of behavior in pandemic, suggested by a former colleague.

Zoom has turned into a goldmine... for the cosmetic surgery industry

Martin Lindstrom   Brand and Culture Transformation Expert and Founder of Lindstrom Company

Plastic surgery is booming. Despite the coronavirus (or more likely because of it), record numbers of consumers are sneaking out of their homes, visiting clinics, and putting down as much as $20,000 to convert today’s version of themselves into a younger self. The number of cosmetic procedures has tripled.

The world continues to work from home, with no sign of returning to the office anytime soon, and isolation in our home offices has brought huge, often unexpected changes to our lives. For one thing, you’re suddenly spending lots of time on Zoom, where you’re in constant communication with a stamp-sized window that features … you.

It’s as if we’ve affixed tiny mirrors to our monitors. We’re suddenly watching ourselves, and we’re keenly, painfully aware of how others see us. ... '

3D Printing Poses a "Grave and Growing Threat" to Privacy

Had never thought of the premise suggested here, but yes is a consideration.   Grave?  Also mentions watermarking which we also studied for retail applications.

3D Printing Poses a "Grave and Growing Threat" to Privacy, Experts Warn
University of Exeter
September 8, 2020

Researchers at Durham University and the University of Exeter in the U.K. warn that three-dimensional (3D) printing technology poses a "grave and growing threat" to individual privacy and that governments and companies are unaware of these privacy issues. Said Exeter's James Griffin, "Every physical product that is 3D-printed has the potential to be tracked in a way that has never occurred before." The study is based on 30 in-depth interviews with representatives of Chinese 3D printing companies, most of whom believed the tracking technology incorporated into 3D printing would be used to handle piracy or copyright issues, and not for invading users’ privacy. The researchers called for a voluntary code of conduct that would encourage self-regulation of 3D printing and watermarking, and a specific software component that can isolate and protect private information collected from a watermark.

The Story of 'Have I Been Pwned'

Rather late saw this mentioned in TWIT Security Now.  Where Steve Gibson comments from a security point of view.  Deserves a read by people attempting to innovate and sell the results.  Considerable blog post below after a quick intro:

Project Svalbard, Have I Been Pwned and its Ongoing Independence  by Troy Hunt
03 March 2020

This is going to be a lengthy blog post so let me use this opening paragraph as a summary of where Project Svalbard is at: Have I Been Pwned is no longer being sold and I will continue running it independently. After 11 months of a very intensive process culminating in many months of exclusivity with a party I believed would ultimately be the purchaser of the service, unexpected changes to their business model made the deal infeasible. It wasn't something I could have seen coming nor was it anything to do with HIBP itself, but it introduced a range of new and insurmountable barriers. So that's the tl;dr, let me now share as much as I can about what's been happening since April 2019 and how the service will operate in the future.  ... "

Now it has been open sourced:


Pointed out to me.  Book that links to my past technical life. With some interesting links into our current situation.  Probably a good read for those getting into this space.

The Secret Life of Groceries: The Dark Miracle of the American Supermarket   by Benjamin Lorr 

What does it take to run the American supermarket? How do products get to shelves? Who sets the price? And who suffers the consequences of increased convenience end efficiency? In this alarming exposé, author Benjamin Lorr pulls back the curtain on this highly secretive industry. Combining deep sourcing, immersive reporting, and compulsively readable prose, Lorr leads a wild investigation in which we learn:  .... '


Seems we have done little in the space since Freud.  Is interesting to see Nokia in the space.  Gathering data is again a good place to start.   AI I assume to mine and classify in new ways.

Insights Into Dreams and What They Say About Us
The Wall Street Journal
Robert Lee Hotz

Computer scientists are using artificial intelligence and digital databases to examine dreams and potentially identify mental issues. Researchers at Cambridge University's Nokia Bell Laboratories in the U.K. devised the Dreamcatcher data-mining system to seek patterns in dreams, and analyzed transcripts in the DreamBank, the largest known public archive of dream reports. The system identifies and measures dream characters, interactions, and emotions by processing the natural language dreamers use to communicate their visions. Insights derived from this analysis add credibility to the theory that dreams reflect waking situations, with no deeper prophetic, mythological, or religious significance. ... " 

Fourth Industrial Revolution and Manufacturing’s Great Reset

Manufacturing rushes towards a fourth industrial revolution.

The Fourth Industrial Revolution and manufacturing’s great reset by McKinsey
By Francisco Betti, Enno de Boer, and Yves Giraud

Manufacturers that are ahead in scaling advanced production technologies are successfully navigating four durable shifts that are critical to managing unprecedented disruption.

Since its inception in 2018, the Global Lighthouse Network (GLN) of advanced manufacturers has demonstrated how leading companies can work toward realizing the full potential of the innovations and advances at the core of the Fourth Industrial Revolution (4IR). Beginning with a select collection of leading-edge organizations, we have seen how lighthouse factories can help entire organizations navigate their modernization journeys, inspiring and catalyzing change among partner organizations along the way.

That’s why GLN now comprises 54 sites, with ten sites added in Q3 2020 (Exhibit 1). This growth reflects the accelerating adoption of core 4IR technologies, and their infusion into daily manufacturing and supply-chain operations, as organizations act on a new urgency to remain competitive—even as others have fallen behind, still stuck in pilot purgatory.  ... " 

Thursday, September 17, 2020

IFTTT Lets You Set Price Forever

And from IFTTT expands their offering, pricing, with demonstrations and a contest.

....Set your price, forever

You spoke, we listened. No more confusion on the length of IFTTT Pro pricing. Set your price before October 7th and we’ll honor it, forever.

Watch Jeff create
Take a look at Pro for yourself. Watch Jeff, product leader extraordinaire, create a multi-step Applet with queries and logic.  ... 

Applet competition
Win big. Create an Applet using Pro tools, document and submit it. Most creative, impressive Applet wins $500.   ... ' 

Approximately Correct is Useful

Brought to my attention, and made me smile.  Al, as all human decision making, is approximately correct.   Yes you can define problems tightly enough so that they will be exactly correct.  Say that 2+2 =4.   But in the real world, you can often say, it depends.   On context and changes, and influences.  On use and application and embedded ethics.   On beliefs.  On risk and unintended consequences. Bottom line is you need to pay attention.   Lots good below, but I would have taken it further:

Approximately Correct Machine Intelligence (ACMI) Lab
Building intelligent systems applicable in the real world requires more than prediction. Driving decisions requires causal insights. Reliability requires models that are provably robust under clear assumptions. Deploying data-driven technology in society requires accounting for the complex dynamics and feedback loops mediating this interaction. Aligning with social desiderata such as fairness requires a philosophically coherent treatment. ACMI lab studies core machine learning methods, their applications in healthcare, and their social impacts. We seek to address these outer loop questions, while leveraging breakthroughs in representation learning to address the diverse raw data sources that deep learning has made accessible.  .... '

Alibaba Blockchain Patents

How much are patents driving this competition?

Alibaba on Track to Be the Largest Blockchain Patent Holder by End of 2020: Study
In Coindesk by Paddy Baker

 Alibaba is on track to supersede U.S. computer giant IBM as the single-largest holder of blockchain-related patents, according to a new study.

A report from intellectual property consultancy KISSPatent Thursday found the Chinese tech conglomerate was "definitely running the show," having already published ten times more blockchain patents than IBM, its nearest rival.

Should Alibaba continue at its current pace, the study predicted it would become the biggest patent holder in blockchain by the end of 2020.  .... "

The Sciences of Reflection

Another example of advanced sensory analysis that can improve 'seeing' in multiple complex  environments. 

Research reflects how AI sees through the looking glass   by Cornell University

AI learns to pick up on unexpected clues to differentiate original images from their reflections, the researchers found. Credit: Cornell University Things are different on the other side of the mirror.

Text is backward. Clocks run counterclockwise. Cars drive on the wrong side of the road. Right hands become left hands.

Intrigued by how reflection changes images in subtle and not-so-subtle ways, a team of Cornell University researchers used artificial intelligence to investigate what sets originals apart from their reflections. Their algorithms learned to pick up on unexpected clues such as hair parts, gaze direction and, surprisingly, beards—findings with implications for training machine learning models and detecting faked images.

"The universe is not symmetrical. If you flip an image, there are differences," said Noah Snavely, associate professor of computer science at Cornell Tech and senior author of the study, "Visual Chirality," presented at the 2020 Conference on Computer Vision and Pattern Recognition, held virtually June 14-19. "I'm intrigued by the discoveries you can make with new ways of gleaning information."   Zhiqui Lin is the paper's first author; co-authors are Abe Davis, assistant professor of computer science, and Cornell Tech postdoctoral researcher Jin Sun.

Differentiating between original images and reflections is a surprisingly easy task for AI, Snavely said—a basic deep learning algorithm can quickly learn how to classify if an image has been flipped with 60% to 90% accuracy, depending on the kinds of images used to train the algorithm. Many of the clues it picks up on are difficult for humans to notice.

For this study, the team developed technology to create a heat map that indicates the parts of the image that are of interest to the algorithm, to gain insight into how it makes these decisions.

They discovered, not surprisingly, that the most commonly used clue was text, which looks different backward in every written language. To learn more, they removed images with text from their data set, and found that the next set of characteristics the model focused on included wrist watches, shirt collars (buttons tend to be on the left side), faces and phones—which most people tend to carry in their right hands—as well as other factors revealing right-handedness. ... "

Wednesday, September 16, 2020

Robots Harvesting Coconuts

In earlier days I was introduced to harvesting coconut trees in south Florida.  Even knew people who could climb up them to do that.   Who then attempted to teach it to me, but left me only with the knowledge of how hard it was to do.  And also quite un-safe.  Now robots can?   

Amaran the Tree-Climbing Robot Can Safely Harvest Coconuts
The robot could one day reduce the need for humans to take on the risky job of climbing coconut trees   By Michelle Hampson

Coconuts may be delicious and useful for producing a wide range of products, but harvesting them is no easy task. Specially trained harvesters must risk their lives by climbing trees roughly 15 meters high to hack off just one bunch of coconuts. A group of researchers in India has designed a robot, named Amaran, that could reduce the need for human harvesters to take such a risk. But is the robot up to the task?

The researchers describe the tree-climbing robot in a paper Published in the latest issue of IEEE/ASME Transactions on Mechatronics. Along with lab tests, they compared Amaran’s ability to harvest coconuts to that of a 50-year-old veteran harvester. Whereas the man bested the robot in terms of overall speed, the robot excelled in endurance.    ... " 

USAF Seeks Shift in How Jets, Missiles, Satellites Are Designed

Makes sense to construct a digital model of any complex system. The robustness of the model will be important.  Also depends on contexts of use.  Risks. 

USAF Seeks Shift in How Jets, Missiles, Satellites Are Designed
The Washington Post
Aaron Gregg; Paul Sonne

U.S. Air Force acquisition and technology official Will Roper aims to make computer modeling a requirement for designing military jets, missiles, and satellites. He envisions government-owned, computer-generated models powered by artificial intelligence that test millions of potential weapons designs virtually before going to prototype, at significantly lower cost. Roper was inspired by Boeing and Saab's use of digital models in designing the T-7 Red Hawk trainer aircraft, especially "digital threading," in which designers produced a digital twin of the jet before manufacture. The National Defense Industrial Association's Hawk Carlisle said with digital engineering, "you can produce an airplane that is much faster, has fewer challenges in the manufacturing process, and is much more accurate and perfect."

IBM Promises 1000 qubit Quantum Computer

To what kinds of problems are likely to be addressed by Quantum computers?  Will this then be a narrowly focused 'supercomputer'.   HPC (High performance Computing) for specific problem types and domains. We worked with an early player in this space, and found the assignment still difficult to do.  How will this changed?   I like IBM's roadmap, gives us a process to push back on, which I look forward to examining. 

IBM promises 1000-qubit quantum computer—a milestone—by 2023
By Adrian Cho   in Science Mag

For 20 years scientists and engineers have been saying that “someday” they’ll build a full-fledged quantum computer able to perform useful calculations that would overwhelm any conventional supercomputer. But current machines contain just a few dozen quantum bits, or qubits, too few to do anything dazzling. Today, IBM made its aspirations more concrete by publicly announcing a “road map” for the development of its quantum computers, including the ambitious goal of building one containing 1000 qubits by 2023. IBM’s current largest quantum computer, revealed this month, contains 65 qubits.

“We’re very excited,” says Prineha Narang, co-founder and chief technology officer of Aliro Quantum, a startup that specializes in code that helps higher level software efficiently run on different quantum computers. “We didn’t know the specific milestones and numbers that they’ve announced,” she says. The plan includes building intermediate-size machines of 127 and 433 qubits in 2021 and 2022, respectively, and envisions following up with a million-qubit machine at some unspecified date. Dario Gil, IBM’s director of research, says he is confident his team can keep to the schedule. “A road map is more than a plan and a PowerPoint presentation,” he says. “It’s execution.” ... '

Japan Flying Taxi Services

Closer to filling up the skies?  Good detail at the link.

Japan on Track to Introduce Flying Taxi Services in 2023
SkyDrive’s success in conducting a piloted eVTOL test indicates short-hop flights are close to commercial reality     By John Boyd

Last year, Spectrum reported on Japan’s public-private initiative to create a new industry around electric vertical takeoff and landing vehicles (eVTOLs) and flying cars. Last Friday, start-up company SkyDrive Inc. demonstrated the progress made since then when it held a press conference to spotlight its prototype vehicle and show reporters a video taken three days earlier of the craft undergoing a piloted test flight in front of staff and investors. ... "

Tuesday, September 15, 2020

Towards Robotic Chemistry

Better, faster, cheaper are the claims being made, with links to previous IBM work in the space.  Worked with a company analysis lab, and know the time and complexity involved.   This will replace experienced personnel.

Robotics, AI, and Cloud Computing Combine to Supercharge Chemical and Drug Synthesis
IBM looks to revolutionize industrial chemistry and in the process may have cut the discovery time for Covid-19 treatments in half  By Dexter Johnson  in  IEEE Spectrum

IBM must be brimming with confidence about its new automated system for performing chemical synthesis because Big Blue just had twenty or so journalists demo the complex technology live in a virtual room.

IBM even had one of the journalists choose the molecule for the demo: a molecule in a potential Covid-19 treatment. And then we watched as the system synthesized and tested the molecule and provided its analysis in a PDF document that we all saw in the other journalist’s computer. It all worked; again, that’s confidence.

The complex system is based upon technology IBM started developing three years ago that uses artificial intelligence (AI) to predict chemical reactions. In August 2018, IBM made this service available via the Cloud and dubbed it RXN for Chemistry.   ... " 

Critical Failure Detection, Prediction and Risk Analysis

We did related work which included risk analyses on solutions of many types, including AI machine learning and classical analytics.   Even those that could be considered less than 'critical'.  Typically using elements of predictive analyses.   Prediction could also be used to produce test sets for failure and recovery analyses.   Simulation also essential.  So the approach here is quite interesting. Can see the methodologies being intertwined.

AI researchers devise failure detection method for safety-critical machine learning
Researchers from MIT, Stanford University, and the University of Pennsylvania have devised a method for predicting failure rates of safety-critical machine learning systems and efficiently determining their rate of occurrence. Safety-critical machine learning systems make decisions for automated technology like self-driving cars, robotic surgery, pacemakers, and autonomous flight systems for helicopters and planes. Unlike AI that helps you write an email or recommends a song, safety-critical system failures can result in serious injury or death. Problems with such machine learning systems can also cause financially costly events like SpaceX missing its landing pad.

Researchers say their neural bridge sampling method gives regulators, academics, and industry experts a common reference for discussing the risks associated with deploying complex machine learning systems in safety-critical environments. In a paper titled “Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems,” recently published on arXiv,  https://arxiv.org/abs/2008.10581  the authors assert their approach can satisfy both the public’s right to know that a system has been rigorously tested and an organization’s desire to treat AI models like trade secrets. In fact, some AI startups and Big Tech companies refuse to grant access to raw models for testing and verification out of fear that such inspections could reveal proprietary information ...."

Inconsistent Benchmarking Found

Important finding.   Further classification of form of inconsistency would also be useful for later pre checking new papers.
 Researchers find ‘inconsistent’ benchmarking across 3,867 AI research papers    By Kyle Wiggers in Venturebeat

The metrics used to benchmark AI and machine learning models often inadequately reflect those models’ true performances. That’s according to a preprint study from researchers at the Institute for Artificial Intelligence and Decision Support in Vienna, which analyzed data in over 3,000 model performance results from the open source web-based platform Papers with Code. They claim that alternative, more appropriate metrics are rarely used in benchmarking and that the reporting of metrics is inconsistent and unspecific, leading to ambiguities.

Benchmarking is an important driver of progress in AI research. A task (or tasks) and the metrics associated with it (or them) can be perceived as an abstraction of a problem the scientific community aims to solve. Benchmark data sets are conceptualized as fixed representative samples for tasks to be solved by a model. But while benchmarks covering a range of tasks including machine translation, object detection, or question-answering have been established, the coauthors of the paper claim some — like accuracy (i.e., the ratio of correctly predicted samples to the total number of samples) — emphasize certain aspects of performance at the expense of others. ... "

Monday, September 14, 2020

Radar Trends

See the O'Reilly Radar Trends.    Very nicely done, brought up a number of interesting surprises.  But many have been on my list for sometime.   Its now on my on going reading list:

Radar trends to watch: September 2020
Trends in AI, COVID-19, Programming, and more.
By Mike Loukides
September 1, 2020

Compared to the last few months, there are relatively few items about COVID. And almost no items about Blockchains, though the one item I’ve listed, about China’s Blockchain Services Network, may be the most important item here. I’m seeing a steady stream of articles about various forms of no-code/low-code programming. While many programmers scoff at the idea of programming-without-programming, spreadsheets are an early example of low-code programing. Excel is hardly insignificant. On the AI front, the most significant change is discussion (see the thread below) of a “Deep Learning Recession,” as companies under pressure from COVID look for results and can’t find them.  ... "   (Much more at the link) 
(and join the O'Reilly Newsletter)

Data Science Fails If it Looks too Good to be True

Not sure if I completely agree.  Have seen very good results come out of an analytic solution.  I agree that if it makes recommendations very different from current practice, or suggests buying into high risk, depends on unknown future states or or high investments, it deserves very close examination.    But if it simply has different methods, results or valuation.  Why not?  Hype bothers me too, but much value started there.

DSC Podcast

Data Science Fails – If It Looks Too Good To Be True...

You’ve probably seen amazing AI news headlines such as: AI can predict earthquakes. Using just a single heartbeat, an AI achieved 100% accuracy predicting congestive heart failure. AI can diagnose covid19 in seconds from a chest scan. A new marketing model is promising to increase the response rate tenfold. It all seems too good to be true. But as the modern proverb says, “If it seems too good to be true, it probably is”.

In this latest Data Science Central podcast, https://dsc.news/3fhbOt9  we look behind the hype to show whether there is substance to these claims, and then show you how to avoid these types of data science fails.
Speaker: Colin Priest, VP of AI Strategy - DataRobot
Hosted by: Sean Welch, Host and Producer - Data Science Central

via DataRobot

How AI Fits into Today's Economy

TNW looks into AI, and provides a non technical view, points to Prediction Machines Book. good starting place regarding economics involved.

A realistic picture of how AI fits into today’s economy

There’s a difference between a shiny new thing and a thing that works. You just need to look at the annual Consumer Electronics Show (CES) in Las Vegas to see how much of the technology we create just doesn’t cut it and gets tossed into the wastebin of innovation because it doesn’t find a working business model.

Where does artificial intelligence stand? Recent advances in machine learning have surely created a lot of excitement — and fear — around artificial intelligence. Game-playing bots that outmatch human champions. A text-generating AI that writes articles in mere seconds. Medical imaging algorithms that detect cancer years in advance.

How much of these technological advances are actually making it to the mainstream? How much of it is unwarranted hype? How will AI affect jobs? How is machine learning changing the business model of companies?

In their book Prediction Machines: The Simple Economics of Artificial Intelligence, professors Ajay Agrawal, Joshua Gans, and Avi Goldfarb, answer these and many other questions and paint a very realistic picture of the how machine learning fits into today’s economy.

Prediction Machines provides a very accessible and high-level overview of machine learning and the power and limits of the predictions provided by AI algorithms. The book is a must-read for business leaders and executives. But it is also a very valuable study for engineers and scientists who want to understand the implications of their innovations and how the technology they create integrates into the greater economy.

The book contains plenty of detailed and useful information and examples of how machine learning is changing how we do things. Here are some of my key takeaways.

The power of prediction machines
There are many misunderstandings about the meaning and difference of artificial intelligence, machine learning, and other related terms. There’s are also a lot of scientific discussions about AI’s advances toward human-level thinking and understanding and whether singularity is within reach or not.   .... " 

Antipatterns and Tech Transforms

Antipatterns that are derailing technology transformations | in McKinsey

By Sven Blumberg, Thomas Delaet, and Kartikeya Swami

Ten ‘antipatterns’ that are derailing technology transformations

Shortsighted solutions to recurring problems—antipatterns—often sabotage a company’s transformation.

Most major organizations today have embarked on transformation programs in response to changes in customer, competitive, and regulatory landscapes. Whether the transformations are labeled agile, digital, or DevOps, their fundamental premise is to build value by establishing short, iterative, and continuous feedback loops between product and customers that dramatically improve both the product and its time to market. .... " 

Blogging Note

I am being forced by Google into using the latest version of Blogger now. And it has led me into an increase of errors.  And more editing.   I will fix them as I see them.   If you notice something that I have missed, and is important to you,  inform me and I will correct.

NVidia Buys ARM for 40 Billion, Plans new AI Research Center

Considerable detail in this ExtremeTech piece, On China connections.

Nvidia Buys ARM for $40 Billion, Plans New AI Research Center
 In ExtremeTech by Joel Hruska

The Nvidia-ARM rumors we’ve been reporting on for the past few months have culminated in a major announcement: Nvidia will acquire ARM for ~$40B in cash and stock. After the deal, Nvidia will own ARM and SoftBank will be the largest shareholder of Nvidia stock.

The conditions of the deal are reportedly complex and required that SoftBank settle a dispute between Allen Wu, the former CEO of ARM China who claimed to retain legal control of the business unit, and ARM, who steadfastly claimed it had fired him. A spokesperson for Wu told the Financial Times “he remains the chairman of ARM China,” so whether that means the issue is still percolating or that Nvidia is going to retain his services is anyone’s guess.  ... "