Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The Chinese Army is preparing to deploy small, new, tracked war-robots armed with machine guns, night vision, missile loaders, and camera sensors to conduct attacks while leaving manned systems at safer stand-off distances. Citing a China Central Television segment on the robots, People's Online Daily reports that the "thigh-high robot looks like a small assault vehicle. Target practice results showed the robot has acceptable accuracy."

Around the world, researchers in startups, academic institutions and online communities are developing AI models for healthcare. Getting these models from their hard drives and into clinical settings can be challenging, however. Developers need feedback from healthcare practitioners on how their models can be optimized for the real world. So, San Francisco-based AI startup Arterys built a forum for these essential conversations between clinicians and researchers. Called the Arterys Marketplace, and now integrated with the NVIDIA Clara Deploy SDK, the platform makes it easy for researchers to share medical imaging AI models with clinicians, who can try it on their own data.

For years the tech industry, alongside some academics, has attempted to make a case for using "crime predicting" algorithms that, according to its proponents, would make the world a safer place. But experts who study artificial intelligence (AI) warn that reliance on, or blind faith in, any sort of predictive algorithm will only worsen the existing racism that pervades the criminal justice system. A public letter from more than 1,000 artificial intelligence experts from Harvard, MIT, Google, and Microsoft released this week wants to drive the point home. The experts addressed their letter to the Springer publishing company, urging it to cancel its plan to publish a paper in favor of using predictive algorithms for crime detection. The paper claims that the technology can predict the likelihood of an individual committing a crime with "80 percent accuracy" but experts say this technology will only help the "tech-to-prison-pipeline," Motherboard reports.

The C3.ai Digital Transformation Institute has awarded six UC Berkeley faculty funding to use AI to mitigate the threat of COVID-19. Bottom row, from left: Karen Chapple, Teresa Head-Gordon and Jennifer Listgarten. Six UC Berkeley-led projects have won funding from the recently launched C3.ai Digital Transformation Institute to harness the power of artificial intelligence (AI) to combat the spread of COVID-19 and other emerging diseases. These wide-ranging research projects will use AI and machine learning tools to understand and reduce the threat posed by the SARS-CoV-2 virus in a variety of ways, from tracking the transmission dynamics of the virus in Mexico to speeding the discovery of small molecules that could one day serve as pharmaceutical treatments for the disease. The C3.ai Digital Transformation Institute, a research consortium established in March by enterprise AI software company C3.ai and headquartered at Berkeley and the University of Illinois at Urbana-Champaign, aims to mobilize AI, machine learning and the Internet of Things to transform societal-scale systems.

As COVID-19 continues to affect millions of lives and livelihoods, it is delivering perhaps the most significant shock to industries--from education to healthcare to food supply--in almost a century. Mineral processing companies also have to grapple with profound uncertainty and volatility. Before COVID-19, some were already taking steps to build their capabilities to cope with fluctuations inherent in commodities markets. But recent events triggering challenges in workforce availability, supply chains, and demand created a need for higher levels of operational resilience in a short period of time. Here is where recent advances in artificial intelligence (AI) helped.

Boston has banned the use of facial surveillance technology in the city, becoming the second-largest community in the world to do so. The city council unanimously voted on Wednesday to ban the use of the technology and prohibit any city official from obtaining facial surveillance by asking for it through third parties. The measure will now go to Mayor Marty Walsh with a veto-proof majority. Walsh's office said he would review the ban. That move comes even as city officials say the technology isn't yet used by the Boston Police Department -- though the department could access those powers with a software upgrade.

Machine learning educational content is often in the form of academic papers or blog articles. These resources are incredibly valuable. However, they can sometimes be lengthy and time-consuming. If you just want to learn basic concepts and don't require all the math and theory behind them, concise machine learning videos may be a better option. The Youtube videos on this list cover concepts such as what machine learning is, the basics of natural language processing, how computer vision works, and machine learning in video games.

Artificial Intelligence (AI) promises to make the human race smarter. Raymond Kurzweil has made predicting the Singularity -- when artificial intelligence exceeds human intelligence -- a cottage industry. Is AI going to make us all smarter, or are we already as smart as we can handle? This TechRepublic Premium ebook compiles the latest on cancelled conferences, cybersecurity attacks, remote work tips, and the impact this pandemic is having on the tech industry. Some of our issues are cognitive, such as our inherent inability to estimate exponential functions.

Even before president Trump's executive order on June 22, the US was already bucking global tech immigration trends. Over the past five years, as other countries have opened up their borders to highly skilled technical people, the US has maintained--and even restricted--its immigration policies, creating a bottleneck for meeting domestic demand for tech talent. Now Trump's decision to suspend a variety of work visas has left many policy analysts worried about what it could mean for long-term US innovation. In particular, the suspension of the H-1B, a three-year work visa granted to foreign workers in specialty fields and one of the primary channels for highly skilled tech workers to join the US workforce, could impact US dominance in critical technologies such as AI. "America's key competitors are going in a different direction," says Tina Huang, a research analyst at Georgetown's Center for Security and Emerging Technology (CSET).

Scientists have taught mice to smell an odour that doesn't exist in order in a study to show how the brain identifies different scents. In experiments on mice, US neuroscientists generated an electrical signature that was perceived as an odour in the brain's smell-processing centre, the olfactory bulb. Because the odour-simulating signal was handmade, researchers could manipulate the timing and order of related nerve signalling like'musical notes'. From this, they could identify which changes were most important to the ability of mice to accurately identify the'synthetic smell'. The team claims to have decoded how mammalian brains perceive odours and distinguish one smell from thousands of others.