Amazon will pay more than $1.2 billion to acquire Zoox, the Foster City, Calif., self-driving technology company, the Financial Times (FT) reported. While the purchase could fuel Amazon's delivery fleet, a source familiar with the deal told the newspaper it could signal the eCommerce giant's entry into ride-hailing. The source said Amazon would collaborate with Zoox to create a ride-hailing fleet, taking on Waymo Co, the California-based self-driving industry leader backed by Alphabet, Google's parent company. Still, some analysts say the deal is more about Amazon's mission to fold autonomous technology into its delivery network. Last year, Amazon participated in a $530 million funding round for autonomous technology firm Aurora Innovation. Last month, PYMNTS reported Amazon was in talks to buy Zoox.

AI/ ML will revolutionize medicine by making diagnosis and treatment more accessible and more effective. FDA has regulated medical software by means of regulation and guidance's for years, however, AI/ML programs fall outside the scope of these regulations and guidance's. This happens because FDA approves the final, validated version of the software. The point of AI/ML is to learn and update following deployment to improve performance. Thus the field version of the software is no longer the validated approved version.

Because of the corona regulations, special hygiene measures apply. Furthermore, the pupils are not taught in the full class size. As schoolchildren and students of all ages will widely confirm after the Covid-19 (Coronavirus) pandemic with the imposition of home-schooling for many, it's harder to learn in a vacuum. It's not impossible, but it's generally agreed that we humans learn better in groups through mutual discovery, intercommunication on problem-solving and through the general process and pursuit of team-based challenges and goals. This, after all, is why we have schools.

Research shows how humans can shield machine learning from manipulation. Artificial intelligence and machine learning technologies are poised to supercharge productivity in the knowledge economy, transforming the future of work. Machine learning (ML) – technology in which algorithms "learn" from existing patterns in data to conduct statistically driven predictions and facilitate decisions – has been found in multiple contexts to reveal bias. Remember when Amazon.com came under fire for a hiring algorithm that revealed gender and racial bias? Such biases often result from slanted training data or skewed algorithms.

One professor there is tracking hate speech connected to the virus. His research is just a small portion of how coronavirus can be studied using AI. For instance, other researchers are using AI to predict who most likely should and shouldn't use intensive care by studying patterns of data, which can be very beneficial to the public. "I think it seems to be one of the concerns is availability of space in intensive care units and being able to anticipate needs for that," said Ted Pedersen, a professor of computer science at UMD. Another one of the areas AI can be used for in coronavirus research is predicting how COVID-19 affects vulnerable populations.

Denis Shiryaev is an AI wizard who has liberally applied his magic to old film--upscaling, colorizing, and otherwise modernizing scenes from Victorian England, late Tsarist Russia, and Belle Époque Paris. He trained machines to restore the earliest known motion picture, 1888's Roundhay Garden Scene and one of the most mythologized works of early cinema, the Lumière Brothers 50-second Arrival of a Train at La Ciotat Station. Shiryaev's casual distribution of these efforts on YouTube can make us take for granted just how extraordinary they are. Such recreations would have been impossible just a decade or so ago. But we should not see these as historic restorations.

Jayantha Prabhu, Asfar Khan, Parna Ghosh (L- R)Whether it was to help with real-time information or develop chatbots for seamless customer service, Artificial Intelligence has helped with majorly everything at the enterprise level. Today, in the fight against Covid-19, social distancing is the only thing that is helping us to contain the virus. And once again AI has come to the rescue. To complement the employee's effort and help maintain social distance protocol in the workplaces, companies are deploying AI-enabled social distancing detection tools. These tools can detect if people are keeping the required distance between themselves.

The long-awaited sequel to Top Gun is due to hit cinemas in December, but the virtuoso fighter pilots at its heart could soon be a thing of the past. The trustworthy wingman will soon be replaced by artificial intelligence, built into a drone, or an existing fighter jet with no one in the cockpit. Since 2010, the US Air Force and Boeing's QF-16 programme has been converting old F-16 fighter jets into unmanned drones, which can fly preset routes without a pilot. This year, 32 of these autonomous planes – rescued from retirement in the "boneyard" at an Air Force base near Arizona – will be used as targets in weapons testing over the Gulf of Mexico. In the future, self-flying fighter jets such as these could transform aerial combat. The Air Force's Skyborg programme, which could be in operation as soon as 2023, is developing AI systems for its unmanned Valkyrie drones which would enable them to communicate with and operate in tandem with a manned F-35 jet.

Over the past few months, the COVID-19 virus has had a huge impact on the globe. As of April 28, according to the World Health Organization, there have been more than 2.8 million confirmed cases worldwide and nearly 198,000 confirmed deaths reported in more than 213 nations across the globe. The COVID-19 Pandemic is forcing governments and businesses into actions that are critical in the effort to minimize the rate at which the virus spreads. On March 19th, all residents in California, 40 million people, were asked to "shelter in place" and leave their homes only for basic necessities. Any bay area citizen who has lived through often nightmarish commutes can now travel corridors with ease that a month ago would have been congested with bumper to bumper traffic.

Drowning is the third leading cause of accidental death, according to World Health Organization (WHO) data, with an estimated 320,000 fatalities each year globally. While lifeguards play a crucial role in helping safeguard beaches and pools, the human eye struggles to spot swimmers in distress in large crowds or at a distance -- with or without the help of binoculars. Sightbit is harnessing AI to alert lifeguards to potential drowning incidents, as well as flagging other hazardous situations, such as unattended children and rip currents. Founded in 2019, Israel-based Sightbit is a spinout from Ben-Gurion University of the Negev (BGU). The public research university invests in alumni via its Cactus Capital VC fund and has provided pre-seed funding to Sightbit, which is currently raising additional funds as part of a seed round.