Government, MIT Analyze Location Data For Spread of Virus

During the coronavirus pandemic, the U.S. federal government, via the Centers for Disease Control and Prevention, state and local governments, is receiving analyses of people’s movements — based on location data from millions of mobile phones — in “certain areas of geographic interest.” The data, provided by the mobile advertising industry, is being used to understand how such movements may be impacting the spread of coronavirus. MIT researchers are also debuting a project to track COVID-19 patients via a phone app. Continue reading Government, MIT Analyze Location Data For Spread of Virus

Intel to Unveil Experimental Neuromorphic Computing System

Intel will debut Pohoiki Springs, an experimental research system for neuromorphic computing that simulates the way human brains work and computes more quickly and with less energy. It will first be made available, via the cloud, to the Intel Neuromorphic Research Community, which includes about a dozen companies (such as Accenture and Airbus), academic researchers and government labs. Intel and Cornell University jointly published a paper on the Loihi chip’s ability to learn and recognize 10 hazardous materials from smell. Continue reading Intel to Unveil Experimental Neuromorphic Computing System

Federal Agency Reveals Bias in Facial Recognition Systems

The National Institute of Standards and Technology reported that most commercially available facial recognition systems — often used by police departments and federal agencies — are biased. The highest error rate involved Native American faces, but African-American and Asian faces were incorrectly identified 10 to 100 times more than Caucasian faces. The systems also had more difficulty identifying female faces and falsely identified older people up to 10 times more than middle-aged adults. Continue reading Federal Agency Reveals Bias in Facial Recognition Systems

Big Tech, Academics Launch Deepfake Detection Challenge

A coalition of Big Tech companies and academics have banded together to fight deepfakes. Facebook, Amazon Web Services (AWS), Microsoft, the Partnership on AI, and academics at Cornell Tech, MIT, University of Oxford, UC Berkeley, University of Maryland College Park and the State University of New York at Albany just launched the Deepfake Detection Challenge announced in September. The problem is serious; deepfakes have swindled companies and could sway public opinion during upcoming elections. Continue reading Big Tech, Academics Launch Deepfake Detection Challenge

Big Tech, DARPA Ramp Up Deepfake Research, Detection

Movies and TV shows have combined real and CG images for decades, for the purpose of entertainment. But we’re seeing the rise of deepfakes, which mix fake and real elements in still images or videos with a malignant or harmful aim. Many Big Tech companies that have benefited from letting users post and share photos are now turning their attention to battling deepfakes. According to cybersecurity startup Deeptrace, the number of deepfakes online has nearly doubled to 14,678 from December 2018 to August 2019. Continue reading Big Tech, DARPA Ramp Up Deepfake Research, Detection

Major Tech Firms Are Taking Action to Combat Deepfakes

Ahead of next year’s U.S. Presidential election, social platform Twitter is planning to introduce a new policy that intends to help curb manipulated media including altered videos known as “deepfakes.” Twitter plans to create its first ever such policy regarding deepfakes and will seek feedback from the public in doing so. Meanwhile, Amazon Web Services has joined Facebook, Microsoft and others in the Deepfake Detection Challenge (DFDC) and will serve as a tech partner and committee member helping to oversee the challenge. Continue reading Major Tech Firms Are Taking Action to Combat Deepfakes

Tether, Most Widely Used Cryptocurrency, Is Under Scrutiny

Although Bitcoin accounts for 70 percent of all the global digital assets’ market value, Tether is the world’s most widely used cryptocurrency, said CoinMarketCap, which revealed that Tether, despite the fact that it’s market capitalization is 30 times smaller than Bitcoin, has the highest daily and monthly trading volume. Tether surpassed Bitcoin in April and, said CoinMarketCap, has done so consistently since early August, at about $21 billion per day, with monthly trading volume 18 percent higher than Bitcoin’s. Continue reading Tether, Most Widely Used Cryptocurrency, Is Under Scrutiny

Already Internet Celebs, Virtual Beings Get First Emmy Nod

Fable Studio’s “Wolves in the Walls,” a VR adaptation of a Neil Gaiman children’s book, won a Primetime Emmy Award for outstanding innovation in interactive media. The player is in the role of an imaginary friend for the CG child Lucy and uses VR goggles and handheld motion controllers to join her on an investigation of strange noises in the house. Lucy is also the first “virtual being” to win an Emmy, according to Fable co-founder Edward Saatchi, who defines that as a digital character with whom you have a two-way relationship. Virtual beings are growing in popularity on social platforms such as Instagram, where some are becoming digital influencers. Continue reading Already Internet Celebs, Virtual Beings Get First Emmy Nod

Intel Debuts 64-Chip Neuromorphic System for AI Algorithms

Intel, which is in development on its Loihi “neuromorphic” deep-learning chips, just debuted Pohoiki Beach, code name for a new system comprised of 64 Loihi chips and eight million “neurons.” Loihi’s neuromorphism denotes the fact that it is modeled after the human brain, and Pohoiki Beach is capable of running AI algorithms up to 1,000 faster and 10,000 times more efficiently than the typical CPU. Applications could include everything from autonomous vehicles to electronic robot skin and prosthetic limbs. Continue reading Intel Debuts 64-Chip Neuromorphic System for AI Algorithms

Bots Take On Gamers to Help Advance Artificial Intelligence

At DeepMind, Alphabet’s AI labs, researchers built virtual video-game players that master the game by playing other bots. Most of the time, the bots played a capture-the-flag video game better than human game testers who are professional. DeepMind researcher Max Jaderberg said that the work, first described in the company blog last year, is moving towards “developing the fundamental algorithms” that could in the future lead to a “more human intelligence.” Not every lab, however, can afford the compute power required. Continue reading Bots Take On Gamers to Help Advance Artificial Intelligence

Amazon, National Science Foundation to Further AI Fairness

Amazon is teaming up with the National Science Foundation (NSF), pledging up to $10 million in research grants over the next three years to further fairness in artificial intelligence and machine learning. More specifically, the grants will target “explainability” as well as potential negative biases and effects, mitigation strategies for such effects, validation of fairness and inclusivity. The goal is to encourage “broadened acceptance” of AI, thus enabling the U.S. to make better progress on the technology’s evolution. Continue reading Amazon, National Science Foundation to Further AI Fairness

Universities Team Up to Promote Public Interest Technology

Twenty-one universities have partnered to create the Public Interest Technology University Network aimed at creating the next generation of software engineers, social justice advocates and leaders to “develop, regulate and use technology for the public good.” Among those schools founding the network are Arizona State University, City University of New York, Harvard University, Howard University, Massachusetts Institute of Technology, Stanford University and University of California, Berkeley. Continue reading Universities Team Up to Promote Public Interest Technology

DTR and Academics Tackle Faster, Scalable Cryptocurrency

A group of professors from universities including the Massachusetts Institute of Technology, Stanford University and University of California, Berkeley are at work on the Unit-e, a “globally scalable” cryptocurrency that can achieve blazing speeds and retain Bitcoin’s vaunted decentralization. Unit-e will be the first project of the non-profit Distributed Technologies Research (DTR), an academic-formed foundation supported by hedge fund Pantera Capital Management. They hope to design a coin that will process transactions faster than Visa. Continue reading DTR and Academics Tackle Faster, Scalable Cryptocurrency

CES: A Look at Robots, Conscious Computers and Humanity

During CES, Gigaom publisher Byron Reese discussed the ideas in his latest book, “The Fourth Age: Smart Robots, Conscious Computers and the Future of Humanity” with CTA’s Cindy Stevens. Reese’s previous three ages are Language and Fire; Agriculture and Cities; Writing and Wheels. But robotics and conscious computers, said Reese, divide people into two groups. “People like Stephen Hawking see AI as an existential threat,” he said. “Whereas Mark Zuckerberg and others think that’s ridiculous and can’t fathom that point of view.” Continue reading CES: A Look at Robots, Conscious Computers and Humanity

Microsoft Chatbot Xiaoice Excels at AI-to-Human Engagement

Unlike Siri, Alexa, Google Assistant and Microsoft’s own Cortana, the latter’s social chatbot Xiaoice (pronounced “Shao-ice”) isn’t constructed simply to answer questions or resolve problems but can also tell jokes, write poetry, and exhibit “empathic computing” abilities. In China, Xiaoice resided on Huawei smartphones and was a weather reader on Dragon TV, a Shanghai TV station. Debuted in China in May 2014, Xiaoice has had more than 30 billion mainly text conversations with 660 million people around the world. Continue reading Microsoft Chatbot Xiaoice Excels at AI-to-Human Engagement

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