Intel's FakeCatcher

Detecting Fakes,  better results? 

Intel’s AI Can Detect DeepFakes With 96 Percent Accuracy

By Adrianna Nine on November 16, 2022 at 10:24 am  in ExtremeTech

Deepfakes wasted no time becoming an internet-wide problem. Within just a few years, these manipulated videos have evolved to take part in web comedy, political misinformation, fake job interviews, and even pornography that lacks the depicted person’s consent. Deepfakes are likely to become even more convincing as artificial intelligence (AI) technology develops, leading some companies to seek out or build their own deepfake-detecting techniques.

Intel’s FakeCatcher system does just that, and with surprising accuracy, too. The company says FakeCatcher is able to differentiate videos of real people from deepfakes with 96 percent accuracy in a matter of milliseconds. How does it do it? By looking for the stuff that truly brings us to life: blood.

FakeCatcher seeks out minuscule signs of blood flow in the pixels of a potential deepfake video. As our hearts pump blood, our veins change color. This phenomenon is integral to photoplethysmography (PPG), a technique typically used to monitor a person’s blood flow. Using PPG, FakeCatcher captures blood flow signals from across a video subject’s face. The tool then translates those signals into spatiotemporal maps, which deep learning algorithms compare against human PPG activity to determine whether the subject of the video is real or fake. ... '

Intel's Mobileye

 Advances in Autonomy by Intel

Intel's Mobileye sees $17 bln in assisted-driving product revenues by 2030

Reuters

Jan 5 (Reuters) - Intel Corp's (INTC.O) self-driving tech unit Mobileye Global Inc (MBLY.O) said on Thursday it sees more than $17 billion in revenues for its advanced driver assistance systems (ADAS) products by 2030.  Jerusalem, Israel-based Mobileye, which went public in October last year, is a top player in the ADAS market, which shares components with fully automated self-driving systems but costs much less.

The company said it will continue testing its autonomous vehicle technology in 2023.  A push to incorporate assisted-driving capabilities to bolster safety features in cars has led to greater adoption of self-driving technology, helping companies such as Mobileye.

The company, which Intel bought in 2017, counts BMW, Nissan, Volkswagen, among others as its customers. Mobileye added that it expects the volume of its latest SuperVision product-based vehicles to reach 1.2 million units in 2026, on the back of strong demand in China.   ... ;

Reports on Computing, Big and Small

Training and More

New Records for the Biggest and Smallest AI Computers Nvidia H100 and Intel Sapphire Rapids Xeon debut on ML Perf training benchmarks   By SAMUEL K. MOORE  in Spectrum IEEE 

The machine-learning consortium MLCommons released the latest set of benchmark results last week, offering a glimpse at the capabilities of new chips and old as they tackled executing lightweight AI on the tiniest systems and training neural networks at both server and supercomputer scales. The benchmark tests saw the debut of new chips from Intel and Nvidia as well as speed boosts from software improvements and predictions that new software will play a role in speeding the new chips in the years after their debut.

Training Servers

Training AI has been a problem that’s driven billions of dollars in investment, and it seems to be paying off. “A few years ago we were talking about training these networks in days or weeks, now we’re talking about minutes,” says Dave Salvator, director of product marketing at Nvidia.

There are eight benchmarks in the MLPerf training suite, but here I’m showing results from just two—image classification and natural-language processing—because although they don’t give a complete picture, they’re illustrative of what’s happening. Not every company puts up benchmark results every time; in the past, systems from Baidu, Google, Graphcore, and Qualcomm have made marks, but none of these were on the most recent list. And there are companies whose goal is to train the very biggest neural networks, such as Cerebras and SambaNova, that have never participated.

Another note about the results I’m showing—they are incomplete. To keep the eye glazing to a minimum, I’ve listed only the fastest system of each configuration. There were already four categories in the main “closed” contest: cloud (self-evident), on premises (systems you could buy and install in-house right now), preview (systems you can buy soon but not now), and R&D (interesting but odd, so I excluded them). I then listed the fastest training result for each category for each configuration—the number of accelerators in a computer. If you want to see the complete list, it’s at the MLCommons website.  .... ' 

Intel, Google Cloud Launch Chip to Improve Data-Center Performance

 Intel, Google Cloud Launch Chip to Improve Data-Center Performance

Reuters

Jane Lanhee Lee, October 11, 2022

A chip co-developed by researchers at Intel and Google Cloud aims to improve the security and efficiency of data centers. Code named Mount Evans, the E2000 chip handles data packaging for networking—work that previously had been done by central processing units (CPUs)—and enhances security between different customers sharing CPUs in the cloud. Google's Amin Vahdat said the E2000 is being offered in Google Cloud's C3 VM, which will be powered by Intel's fourth-generation Xeon processors... ' 

Intel, Google Cloud Launch Chip to Improve Data-Center Performance

 Google stronger connections with Intel.

Intel, Google Cloud Launch Chip to Improve Data-Center Performance

Reuters, Jane Lanhee Lee, October 11, 2022

A chip co-developed by researchers at Intel and Google Cloud aims to improve the security and efficiency of data centers. Code named Mount Evans, the E2000 chip handles data packaging for networking—work that previously had been done by central processing units (CPUs)—and enhances security between different customers sharing CPUs in the cloud. Google's Amin Vahdat said the E2000 is being offered in Google Cloud's C3 VM, which will be powered by Intel's fourth-generation Xeon processors. ... ' 

NSF Announces $10-million Partnership with Intel

 Watching the building of semiconductor resources, will ultimately be crucial.

NSF Announces $10-million Partnership with Intel

By Mirage News, September 8, 2022

Today, the U.S. National Science Foundation announced a new program with Intel Corporation to educate and train the nation's semiconductor manufacturing workforce and advance opportunities for equitable science, technology, engineering and mathematics education. Following the historic passage of the "CHIPS and Science Act," Intel and NSF will invest $10 million to provide funding to support the development of a high-quality manufacturing workforce at all levels of production and innovation as described in a new Dear Colleague Letter, or DCL.

A nationwide shortage in semiconductors, complicated by the global pandemic, has made it difficult for the chip industry to meet the increasing demand for chip-based products. And while that demand is high in the U.S., only about 10% of the global supply of chips is produced nationally. Awards made through this DCL will help tackle this problem by supporting the education and training of the semiconductor manufacturing workforce in the U.S.

"We are thrilled to continue our partnership with Intel to support research and workforce development to advance semiconductor design and manufacturing," said NSF Director Sethuraman Panchanathan. "It's not just about chips – it's about unlocking investments in America's science and technology research, STEM education and workforce. This collaboration presents a remarkable opportunity for students entering this field."

From Mirage News

View Full Article    

Intel Announces Silicon Photonics

 Quite interesting from Intel

Intel announces silicon photonics advancement towards optical I/O

Arne Verheyde @witeken in Venturebeat

Intel has demonstrated an eight-wavelength laser array on a silicon wafer. The research paves the way for the next generation of integrated silicon photonics products in the data center, such as switches with co-packaged optics and chiplets for optical interconnects.

From discrete transceivers to integrated photonics  .... 

Intel has been selling 100G transceivers based on silicon photonics for about half a decade, and has also started to commercialize up to 400G transceivers, with 800G also on the roadmap. Gartner forecasts that by 2025 over 20% of all data center communication will be based on silicon photonics, up from 5% in 2020, representing a $2.6 billion market. 

However, to further reduce power, the next step for silicon photonics is to become more tightly integrated with other silicon. The first instantiation of this is co-packaged optics, expected in the next two years. The ultimate goal is fully integrated photonics, where the photonic integrated circuit is directly connected to the rest of the compute using advanced packaging. 

Integrated DWDM laser array

The latest research from Intel Labs delivers what it calls “industry-leading” advancements in multiwavelength integrated optics, Intel claims. It concerns the demonstration of an eight-wavelength distributed feedback (DFB) laser array that was fully integrated on a 300mm silicon wafer using Intel’s hybrid silicon photonics platform, paving the way for cost-effective high-volume manufacturing for broad deployment. The laser achieved power uniformity and wavelength spacing uniformity that exceed industry specifications.

One of the differentiated features of Intel’s 300mm wafer silicon photonics platform is its integrated hybrid silicon laser. The new multiwavelength advancement enables the production of the optical source for future high-volume applications such as co-packaged optics or optical interconnects, facilitating the growing bandwidth requirements of data-intensive applications such as  artificial intelligence (AI) and machine learning (ML). 

More specifically, the laser uses a technology called dense wavelength division multiplexing (DWDM) in order to send different, closely spaced wavelengths over the same optical link. This technique thus increases the bandwidth while also reducing the physical size of the photonic chips. The key challenges that were overcome were the uniformity of the power and wavelength spacing. 

Intel’s current silicon photonics transceivers use coarse wavelength division multiplexing (CWDM) where the wavelengths are further apart. These products use 100G lines using four wavelengths that deliver 25G bandwidth each.   .... ' 

Intel to Build 20 Billion $ Chip Factory in Ohio

Just brought to my attention.  In the Columbus area, should improve considerable  related tech possibilities there and in Ohio. 

Redefining the Rust Belt: Intel announces $20 billion mega-plant near Columbus; impact to be felt statewide in News5Cleveland 

By: Jordan VandenbergePosted at 5:33 PM, Jan 21, 2022 and last updated 7:02 PM, Jan 21, 2022

LICKING COUNTY, Ohio — In what has been called the largest economic development project in state history, Intel has announced plans for a $20 billion semiconductor manufacturing facility near Columbus that is scheduled to go online in 2025. The mega project, which could balloon to $100 billion within the next decade, is expected to employ 3000 people, earning an average salary of $135,000 a year. While located in Central Ohio, Intel’s new facility is expected to have a far-reaching impact across the state.  ... ' 

Intel and Quantum for Moore's Law Push

 Where the advances should come from:

Intel Eyes Quantum Realm For Breakthroughs To Propel Moore's Law Beyond 2025  In HotHardWare

A couple months ago, Intel CEO Pat Gelsinger said he would exhaust the periodic table if necessary to keep Moore's Law relevant into the future. We'll see if the engineers at Intel have to actually do that or not. Either way, Intel is confident it can propel Moore's Law beyond 2025 by tapping advances in chip packaging and pursuing breakthroughs in quantum physics.

Lest anyone thought Gelsinger was merely being hyperbolic, Intel doubled down on its "relentless pursuit of Moore's Law" during the 2021 IEEE International Electron Devices Meeting (IEDM) event, where the chip maker outlined a path to a more than 10x interconnect density improvement in packaging with hybrid bonding, as well as 30-50 percent area improvement in transistor scaling. Intel also discussed the need for "new concepts in physics" in order to "one day revolutionize computing."

"At Intel, the research and innovation necessary for advancing Moore’s Law never stops. Our Components Research Group is sharing key research breakthroughs at IEDM 2021 in bringing revolutionary process and packaging technologies to meet the insatiable demand for powerful computing that our industry and society depend on," said Robert Chau, Intel Senior Fellow and general manager of Components Research. "This is the result of our best scientists’ and engineers’ tireless work. They continue to be at the forefront of innovations for continuing Moore’s Law."

Intel credited a number of previous innovations for breaking the previous barriers of Moore's Law, including strained silicon, Hi-K metal gates, FinFET transistors, RibbonFET, and packaging innovations such as EMIB and Foveros Direct. But those will only take chip design so far.

Stacking multiple transistors will be key in "mastering the coming post-FinFET era" as Intel looks beyond RibbonFET. This is at the heart of its claimed 30-50 percent logic scaling improvement. But it's also researching how novel materials only a few atoms thick can take the company into the angstrom era.  ...' 

Intel Moves with Chip Factories

 More and faster chips needed ... 

Intel Starts Construction of Two Arizona Computer Chip Factories

Intel broke ground on two new computer chip factories in Arizona as part of a $20 billion project to help meet the high demand for semiconductors ... 

Intel  (INTC) - Get Intel Corporation (INTC) Report on Friday broke ground on two new computer chip factories in Arizona as part of a $20 billion project to help alleviate the severe shortage of semiconductors in the U.S.

The Santa Clara, Calif.-based semiconductor chip manufacturer's CEO Pat Gelsinger led the project's groundbreaking ceremony at the company's Ocotillo campus in Chandler, Ariz., marking the largest private investment in the state's history.or semiconductors in the U.S.

Kirk O'Neil  ... ' 

How are those Drone Swarm Light Shows Done?

I mentioned that we proposed drone and robotic swarms for industrial trials way back,   Now we are seeing the same kind of thing in shows that replace fireworks.  Such as in the opening ceremonies of the Olympics.   For spectacular entertainment.   How are these produced, effectively and technically?   Do they point to other 'swarm' activity other than entertainment?   Was pointed to some resources:

Technical Overview:  https://verge.aero/everything-about-drone-light-shows/ 

https://www.sciencedirect.com/search?qs=drone%20swarms    General articles on Drone Swarms

Intel services in creating and running Drone Swarm shows:

https://www.intel.com/content/www/us/en/technology-innovation/aerial-technology-light-show.html

Scaling AI

Good thoughts, intro below.

Scaling AI and data science – 10 smart ways to move from pilot to production

VB Staff by Venturebeat,  Presented by Intel

“Fantastic! How fast can we scale?” Perhaps you’ve been fortunate enough to hear or ask that question about a new AI project in your organization. Or maybe an initial AI initiative has already reached production, but others are needed — quickly.

At this key early stage of AI growth, enterprises and the industry face a bigger, related question: How do we scale our organizational ability to develop and deploy AI?  Business and technology leaders must ask: What’s needed to advance AI (and by extension, data science) beyond the “craft” stage, to large-scale production that is fast, reliable, and economical?

The answers  are crucial to realizing ROI, delivering on the vision of “AI everywhere”, and helping the technology mature and propagate over the next five years.  ... ' 

China Bid for Chip Supremacy

Nice overview of the current  state of silicon chip development and manufacture worldwide. Emphasizing companies currently involved and current moves likely.   Implications for the delivery of advanced technologies worldwide.  The influence of the complexities of supply chains and the recent pandemic. 

Business Bloomberg Quicktake

Inside China's Accelerating Bid for Chip Supremacy

Right now the world is dependent on Taiwan for silicon semiconductors called chips, which give devices like iPhones their functionality. This reliance has the U.S. and China both racing for technological independence. (Video by Robin Fall) (Source: Bloomberg)

June 3, 2021 

Intel's AI Builders Program

Further and detailed look at Intel's effort here.  Clear connections to advanced chip plans.   Had previously seen some of their work that related to retail marketing, but this takes it much broader in application.  Driving towards an AI ecosystem.  Definitely worth a look.  

Intel® AI Builders Program

Accelerating AI ecosystem innovation with Intel® architecture

Fostering the next generation of AI

The Intel® AI Builders program is an enterprise ecosystem of industry leading independent software vendors (ISVs), system integrators (SIs), original equipment manufacturers (OEMs), and enterprise end users who have a shared mission to accelerate the adoption of artificial intelligence across Intel platforms. The Intel® AI portfolio includes hardware and software solutions that span use cases and edge-to-cloud implementations. Members gain valuable access to technical enablement resources, co-marketing opportunities and are considered for match-making and Intel Capital investment to help drive adoption of AI solutions in the enterprise.

Watch this short video to learn more about the AI Builders program.

Learn more about the new 3rd Gen Intel® Xeon® Scalable platform.  ... "

AppTech Partners with Intel for AI Enabled Speech

A new partnership emerges.  In Cision PRNewswire

AppTek Partners with Intel to Foster the Development of Next Generation AI-Enabled Speech and Language Technologies

MCLEAN, Va., June 2, 2021 /PRNewswire/ -- AppTek, a leader in Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition (ASR), Neural Machine Translation (NMT), Text-to-Speech (TTS) and Natural Language Processing / Understanding (NLP/U) technologies, announced a partnership with Intel to accelerate and enhance performance benchmarks for the company's award-winning AI-enabled ASR and NMT technologies as part of the Intel AI Builders program. Intel's AI Builders is an  ... 

Intel Works with Johnson Controls and Sensormatic for Digital Transformations in Retail.

We talked with Intel on their Movidius vision sensor systems for related applications. This appears to be a considerable advance and direction. 

“By leveraging Intel processors and accelerator cards based on Intel’s purpose-built Movidius™ vision processing units (VPUs), and OpenVINO™ toolkit to accelerate vision at the edge, Sensormatic Solutions enables retailers to make sense of granular data, creating growth opportunities and driving positive business outcomes.”  ... ' 

Sensormatic Solutions by Johnson Controls Collaborates With Intel to Digitally Transform Retail and Improve Shopper Experiences      

Johnson Controls’ innovation partnership with Intel now includes powering Sensormatic IQ

Sensormatic IQ, the new intelligent operation platform for retail, leverages Intel’s AI technology at the edge to deliver real-time insights across the enterprise

The collaboration enables customers to make informed business decisions that drive positive outcomes

NEUHAUSEN, Switzerland--(BUSINESS WIRE)--Johnson Controls, the global leader for smart, healthy and sustainable buildings, today announced that Sensormatic Solutions, its leading global retail solutions portfolio, continues to collaborate with Intel Corporation to deliver innovative solutions to retailers.

A key partner in powering Sensormatic IQ, the new intelligent operating platform for retail, Intel is helping Sensormatic Solutions deliver improved shopper experiences and retail outcomes for its customers. Through deep knowledge of the retail industry plus joint investments and developments in scalable, artificial intelligence (AI) and computer vision-based solutions, Sensormatic Solutions and Intel are helping retailers gain real-time insights into inventory, shoppers, associates and the retail environment. ... 

“As the retail landscape evolves, our technology evolves with it,” said Bjoern Petersen, President, Sensormatic Solutions. “Intel’s AI solutions for the edge paired with our Sensormatic IQ platform is helping to power the digital transformation of the retail industry. Through this partnership and shared commitment to innovation and engineering, we are pleased to deliver solutions to address our retail customers’ biggest challenges and confidently move into the future. ... ' 

AI Video Analysis in Athletics

An example of how AI pattern recognition can achieve fine grain pattern detection and matching.   Here in athletic training planning and evaluation.   Note links to an athletic tracking system that might be used to provide data to work with.    And simulate alternate situations.    An example of possible use in many domains.

NFL hopefuls are adding AI video analysis to their arsenal

Intel's 3D tracking could help guide athletes toward peak performance

By Chris Velazco  @chrisvelazco  in Engadget

More than 130 football players have been training under the watchful eye of the athletic performance development company EXOS in Arizona, all in hopes of landing a first-round NFL draft pick. As it turns out, though, the eyes they’ve been working in front of aren’t exclusively human. Intel today said that EXOS’s latest batch of NFL hopefuls have been training in front of video cameras that — with the help of the company’s 3D athlete tracking system — should give players and staff a finer sense of their “body mechanics or trouble spots.” ... ' 

Intel Launches on-device Facial Recognition

So could most any device recognize us?   Bias considerations depend on usage modes.    

Intel launches RealSense ID for on-device facial recognition   By Kyle Wiggers  @Kyle_L_Wiggers  in VentureBeat,  January 6, 2021 

Intel today launched the newest addition to RealSense, its product range of depth and tracking technologies designed to give machines depth perception capabilities. Called RealSense ID, it’s an on-device solution that combines an active depth sensor with a machine learning model to perform facial authentication.

But numerous studies and VentureBeat’s own analyses of public benchmark data have shown facial recognition algorithms are susceptible to various biases. One issue is that the datasets used to train the algorithms skew white and male. IBM found that 81% of people in the three face-image collections most widely cited in academic studies have lighter-colored skin. Academics have found that photographic technology and techniques can also favor lighter skin, including everything from sepia-tinged film to low-contrast digital cameras. As a result, Amazon, IBM, Microsoft, and others have self-imposed moratoriums on the sale of facial recognition systems.

In response to this and other criticism, Intel says RealSense ID, which starts at $99 and will launch in Q1 2021, has built-in anti-spoofing technology to protect against false entry attempts using photographs, videos, or masks. The company also says it has a “one-in-1-million” false acceptance rate and processes facial images locally, encrypting user data, and is activated through “user awareness.” In other words, it won’t authenticate unless prompted by a preregistered user.

Intel claims RealSense ID adapts to users as physical features like facial hair and glasses change over time and works in various lighting conditions for people “with a wide range of heights or complexions.”... " 

Behold the Openbot Smart Phone

 A curious and interesting thing.  Strap a smartphone to some wheels and sensors, and you have an OpenBot.  Is it a toy, a test platform, an indication where Intel is going?

How Intel's OpenBot Wants to Make Robots Out of Smartphones  in SpectrumIEEE

Intel talks to us about why OpenBot has a future we should believe in:

You could make a pretty persuasive argument that the smartphone represents the single fastest area of technological progress we’re going to experience for the foreseeable future. Every six months or so, there’s something with better sensors, more computing power, and faster connectivity. Many different areas of robotics are benefiting from this on a component level, but over at Intel Labs, they’re taking a more direct approach with a project called OpenBot that turns US $50 worth of hardware and your phone into a mobile robot that can support “advanced robotics workloads such as person following and real-time autonomous navigation in unstructured environments.”    ... " 

Intel Corp Works on Quantum Practicality

Some examples of how companies are plotting a road into Quantum Computing.   Here the Intel Corp

Intel Advances On The Road To Quantum Practicality
By Gil Press in Forbes
Enterprise & Cloud

I write about technology, entrepreneurs and innovation.
Quantum practicality is what Intel calls the transition of quantum technology from the lab to the marketplace, potentially transforming what companies do in critical areas such as drug development, predicting natural disasters, and inventing new materials. The ability to scale, and control, thousands of qubits [the fundamental units of quantum information] at the same time without a corresponding decline in qubit fidelity and performance will be crucial to the successful application of quantum computing to practical problems, according to Intel.

“Back in 2018, we were saying we thought [quantum practicality] was going to happen in 10 to 12 years,” says Jim Clarke, director of the Quantum Hardware Research group at Intel. Clarke has co-authored more than 50 papers, holds several patents and has received a Ph.D. in physical chemistry from Harvard University.

Regardless of recent breakthroughs by Intel and others, the expectation of getting to quantum practicality by the end of this decade hasn’t changed. “Controlling qubits is actually very difficult,” says Clarke, “and one approach is to use racks and racks of electronics.” Instead, Intel has developed a customized control chip that sits inside the refrigerators where quantum computing occurs.

“Horse Ridge” is what Intel calls its cryogenic control chip (named after one of the coldest places in Oregon) and its placement inside the refrigerator reduces significantly the amount of wiring required. This, in turn, will help Intel’s quantum solution to eventually reach a scale of thousands of qubits, which the company argues is what will be required for quantum practicality. ... "