The European Commission has pushed back the deadline for the second wave of Digital Europe Programme proposals that includes the European Digital Identity Wallet under the European Digital Identity framework. The second wave of proposals covers €58 million (approximately US$61 million) in funding to support the implementation of the European Digital Identity Framework and the implementation of the Once Only System under the Single Digital Gateway Regulation, along with the deployment of services for European blockchain services infrastructure, blockchain standardization, and artificial intelligence (AI)-based pilots to aid law enforcement. Originally scheduled to end on May 17, 2022, the new deadline is August 17, 2022. The European Digital Identity Framework portion looks to attain the European Digital Identity's objective of improving citizen access to secure electronic identity and trust services with digital signatures and sharing personal identity data. The Commission looks to develop and test out tools supporting the development, implementation, and support of the EU-eID ecosystem with decentralized technologies and a self-sovereign identity framework under the one-only principle and the sharing of data between public administrations in the EU under the control of the user.

But some of them make their mark: testing, hardening, and ultimately reshaping the landscape according to inherent patterns and fluctuations that emerge over time. In the paper "Distributed Learning With Sparsified Gradient Differences," published in a special ML-focused issue of the IEEE Journal of Selected Topics in Signal Processing, Blum and collaborators propose the use of "Gradient Descent method with Sparsification and Error Correction," or GD-SEC, to improve the communications efficiency of machine learning conducted in a "worker-server" wireless architecture. "Various distributed optimization algorithms have been developed to solve this problem," he continues,"and one primary method is to employ classical GD in a worker-server architecture. "Current methods create a situation where each worker has expensive computational cost; GD-SEC is relatively cheap where only one GD step is needed at each round," says Blum. Professor Blum's collaborators on this project include his former student Yicheng Chen '19G '21PhD, now a software engineer with LinkedIn; Martin Takác, an associate professor at the Mohamed bin Zayed University of Artificial Intelligence; and Brian M. Sadler, a Life Fellow of the IEEE, U.S. Army Senior Scientist for Intelligent Systems, and Fellow of the Army Research Laboratory. But some of them make their mark: testing, hardening, and ultimately reshaping the landscape according to inherent patterns and fluctuations that emerge over time. In the paper "Distributed Learning With Sparsified Gradient Differences," published in a special ML-focused issue of the IEEE Journal of Selected Topics in Signal Processing, Blum and collaborators propose the use of "Gradient Descent method with Sparsification and Error Correction," or GD-SEC, to improve the communications efficiency of machine learning conducted in a "worker-server" wireless architecture. "Various distributed optimization algorithms have been developed to solve this problem," he continues,"and one primary method is to employ classical GD in a worker-server architecture.

In recent years, slews of tech professionals have turned their attention to AI, automation and cybersecurity and the benefits they can provide in the enterprise. At IBM's Think 2022 conference, a session titled "Rethinking ITOps with AI and automation" provided insight on the need for digital transformation and the role AI, automation and cybersecurity play in this effort to modernize IT operations. If organizations want to transform and scale to meet today's challenges, AI will need to play a key role in accelerating this, according to the speakers. AI not only automates repetitive tasks so human professionals can focus on innovation and moving forward, but the technology also mitigates contemporary global issues such as supply chain disruption. "I've seen a lot of organizations using AI technology for charting out the whole network of the ecosystem of the supply chain," said Ritu Jyoti, program vice president of AI strategies at IDC's software market research and advisory practice.

A recent Model S crash that killed three people has sparked another Federal probe into Tesla's Autopilot system, The Wall Street Journal has reported. The National Highway Traffic Safety Administration (NHTSA) is conducting the investigation and said it's currently looking into more than 30 incidents involving Tesla's Autopilot. The accident occurred on May 12th in Newport Beach's Mariners Mile strip, according to the Orange County Register. The EV reportedly struck a curb and ran into construction equipment, killing all three occupants. Three construction workers were also sent to hospital with non-life-threatening injuries.

Federal authorities are investigating whether a Tesla involved in a crash that left three people dead and three others injured last week in Newport Beach had its Autopilot system activated at the time of the wreck. A special crash investigation team was sent for the May 12 incident on Pacific Coast Highway, the National Highway Traffic Safety Administration said Wednesday. In that crash, Newport Beach police were called around 12:45 a.m. to the 3000 block of Pacific Coast Highway, where they found a 2022 Tesla Model S sedan had crashed into a curb and hit construction equipment. Three people were found dead in the Tesla; they were identified last week as Crystal McCallum, 34, of Texas; Andrew James Chaves, 32, of Arizona; and Wayne Walter Swanson Jr., 40, of Newport Beach, according to the Orange County Sheriff's Department. Three construction workers suffered non-life-threatening injuries, police said, adding that the department's Major Accident Investigation Team had been brought in.

A group of Democratic lawmakers led by Senator Ron Wyden of Oregon is calling on the Federal Trade Commission to investigate ID.me, the controversial identification company best known for its work with the Internal Revenue Service. In a letter addressed to FTC Chair Lina Khan, the group suggests the firm misled the American public about the capabilities of its facial recognition technology. Specifically, lawmakers point to a statement ID.me made at the start of the year. After CEO Blake Hall said the company did not use one-to-many facial recognition, an approach that involves matching images against those in a database, ID.me backtracked on those claims. It clarified it uses a "specific" one-to-many check during user enrollment to prevent identity theft.

The US government has said it will fund data-gathering on the conflict in Ukraine. In addition to laying the groundwork for war-crime prosecutions, the move would share critical, real-time data with humanitarian organizations. The newly established Conflict Observatory will use open source investigation techniques (OSINT) and satellite imagery to monitor the conflict in Ukraine and collect evidence of possible war crimes. Outside organizations and international investigators would be able access the resulting database, a US State Department spokesperson confirmed in an email. Partners for the Conflict Observatory include Yale University's Humanitarian Research Lab, the Smithsonian Cultural Rescue Initiative, artificial intelligence company PlanetScape Ai, and Esri, a geographic information systems company, according to a State Department press release.

On May 4, NASA's InSight lander made a huge discovery, recording the biggest quake ever detected on another world, a magnitude 5 temblor. But InSight's greatest accomplishment may also be its last act; just two weeks later, scientists on the InSight team revealed that the lander's solar panels are now blanketed with dust, which has gradually accumulated since its arrival on the planet. Those panels' diminishing power will likely spell the end of the mission. When the lander arrived on the Red Planet, the panels generated 5,000 watt-hours per sol (a Martian day), but now they're down to about a tenth of that, said Kathya Zamora Garcia, InSight deputy project manager at NASA's Jet Propulsion Laboratory, at a virtual press conference on Tuesday. The scientists will keep running Insight's seismometer and robotic arm camera full-time for a few more weeks, and will run them for half-days every other sol after that, but they expect InSight's science operations to end this summer, possibly in July.

Former U.S. ambassador to NATO provides insight on a potentially pivotal setback for Russia in its war on Ukraine on'The Story.' MSNBC contributor Barry R. McCaffrey, a retired four-star general, shared a video Monday of what he appeared to think was a Russian plane being shot down by Ukraine, but deleted the tweet after being informed it occurred in an animated video game. According to images of the original tweet, McCaffrey tweeted an animated image from the video game "Arma 3." MSNBC's Brian R. McCaffrey, a retired four star general, shared video of a Russian plane being shot down by Ukraine on Monday but deleted the tweet after being informed it occurred in an animated video game. McCaffrey wrote in the since-deleted tweet, "Russian aircraft getting nailed by UKR missile defense. Russians are losing large numbers of attack aircraft. UKR air defense becoming formidable," to accompany the animated image from the video game.

As the countdown started, a boxy robot with four big wheels carrying a host of cameras, sensors, communication equipment, autonomy software and the computing power to make it all work together rolled down a ramp into a dark tunnel. It did not know where it was, what was ahead of it or where it was going. It was there to explore. Over the next hour, more robots followed: wheeled robots, drones and a dog-like quadruped. Team Explorer deployed eight robots for the final round of the Defense Advanced Research Projects Agency (DARPA) Subterranean, or SubT, Challenge -- a three-year competition during which teams from around the world raced to develop robotic systems that could autonomously operate in underground environments like caves, mines or subway stations for search and rescue missions.