Following the launch of investigations last year, the U.S. Department of Justice (DOJ) together with attorney generals from 11 U.S. states filed a lawsuit against Google on Tuesday alleging that the company maintains monopolies in online search and advertising, and violates laws prohibiting anticompetitive business practices. It's the first antitrust lawsuit federal prosecutors filed against a tech company since the Department of Justice brought charges against Microsoft in the 1990s. "Back then, Google claimed Microsoft's practices were anticompetitive, and yet, now, Google deploys the same playbook to sustain its own monopolies," the complaint reads. "For the sake of American consumers, advertisers, and all companies now reliant on the internet economy, the time has come to stop Google's anticompetitive conduct and restore competition." Attorneys general from no Democratic states joined the suit.

Google and startups like Qure.ai, Aidoc, and DarwinAI are developing AI and machine learning systems that classify chest X-rays to help identify conditions like fractures, collapsed lungs, and fractures. Several hospitals including Mount Sinai have piloted computer vision algorithms that analyze scans from patients with the novel coronavirus. But research from the University of Toronto, the Vector Institute, and MIT reveals that chest X-ray datasets used to train diagnostic models exhibit imbalance, biasing them against certain gender, socioeconomic, and racial groups. Partly due to a reticence to release code, datasets, and techniques, much of the data used today to train AI algorithms for diagnosing diseases may perpetuate inequalities. A team of U.K. scientists found that almost all eye disease datasets come from patients in North America, Europe, and China, meaning eye disease-diagnosing algorithms are less certain to work well for racial groups from underrepresented countries.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. It's called a "wet gap crossing," the point wherein armored forces, infantry and tactical vehicles need to cross a body of water such as a river while on attack. This naturally occurring circumstance, often encountered in combat, not only causes logistical challenges for maneuvering forces but also increases vulnerability to enemy attack. How quickly could a mechanized unit build a bridge?

The video game "Among Us" captured the spotlight Tuesday night after House Representatives Alexandria Ocasio-Cortez and Ilhan Omar joined Twitch to play along with top streamers as part of a broader effort to encourage Americans to vote in the upcoming election. The stream drew more than 435,000 viewers, making it one of the most popular streams ever on Twitch. Although the game launched more than two years, it only recently surged in popularity this year after several YouTubers and streamers started to profile the game through their channels. So, what is "Among Us" all about? Here's what you should know about the video game.

Waymo conducted 1.45 million miles' worth of autonomous vehicle testing in California last year, the company reported to the state Department of Motor Vehicles. Tesla vehicles drove a total of 12.2 autonomous miles, to record what it called a "demo run" around its Palo Alto headquarters. Tesla has argued that it "has a fleet of hundreds of thousands of customer-owned vehicles that test autonomous technology in'shadow-mode' during their normal operation," constantly improving through billions of miles of real-world driving. Shadow Mode allows it to test some of those automated features without actually activating them in the real world.

The Cipher Brief has become the most popular outlet for former intelligence officers; no media outlet is even a close second to The Cipher Brief in terms of the number of articles published by formers.

Aidoc announced today that the US Food and Drug Administration (FDA) has given regulatory clearance for the commercial use of its triaging and notification algorithms for flagging and communicating incidental pulmonary embolism . Flagging incidental, critical findings is a huge technical challenge due to the varied imaging protocols used and lower incidences of such cases. The ability to prioritize incidental critical conditions accurately is a breakthrough in the value AI can bring to the radiologist workflow. "The most common use case we experienced is for critical unsuspected findings in oncology surveillance patients" said Dr. Cindy Kallman, Chief, Section of CT at Cedars-Sinai Medical Center. "The ability to call the referring physician while the patient is still in the house is huge. We are essentially offering a point-of-care diagnosis of PE for our outpatients. Our referring physicians have been completely wowed by this."

These risk estimates are from the World Economic Forum, the Intergovernmental Panel on Climate Change, the Chicago Actuarial Association, the Global Challenges Foundation, Bethan Harris at the University of Reading, and David Morrison at NASA, with advice from Phil Torres at the Institute for Ethics and Emerging Technologies, author of Human Extinction: A Short History. Fully autonomous weapons don't exist yet, but advances in drone technology and AI make them likely. Rogue code and irresponsible use could lead to mass violence on a scale and speed we don't understand today. Hacking the transport system or a central bank would wreak havoc and threaten public safety. Prevention relies on educating people about cybersecurity.

Working like a reverse vacuum cleaner, the sampler head of the OSIRIS-REx spacecraft appeared to operate flawlessly collecting material from the surface of asteroid Bennu. In one of the most ambitious games of tag in human history, NASA's OSIRIS-REx spacecraft has successfully reached out and touched Bennu, a tiny, top-shaped asteroid that's been spinning through the solar system for a billion years. If all went according to plan, the spacecraft scooped up a bit of material during its brief moment of contact and departed seconds later with precious cargo: rocks and dust dating back to the solar system's birth. Confirmation of a successful sample will take days, but even now, the team knows that the spacecraft touched down on Bennu's surface within 2.5 feet of its target. "We're safely moving away from the asteroid's surface," said University of Arizona planetary scientist Dante Lauretta, the principal investigator of OSIRIS-REx, after the team confirmed the spacecraft's sample collection mechanism activated.

What's New: At the inaugural all.ai INAI is an initiative to apply AI to population scale problems in the Indian context, with a focus on identifying and solving challenges in the healthcare and smart mobility segments through strong ecosystem collaboration. "With its unique strengths of talent, technology, data availability, and the potential for population-scale AI adoption, India has this tremendous opportunity to lead human-centric applications and democratize AI for the world. Our aspiration is to make AI synonymous with India as we strive to achieve the true potential of AI in critical segments like healthcare, smart mobility and the future of work by advancing innovation, research, technology and skills. The launch of the Applied AI Research Center, initiatives to train students on AI readiness skills and the all.ai