A self-driving robot is now going rounds the lobby of SK Telecom, South Korea's largest mobile operator, to ensure social distancing and provide disinfectants. With cameras and an LED screen, the robot checks their temperature, dispenses hand sanitizer, disinfects the floor, and greets visitors to "take part in social distancing." Created by SK Telecom and Omron Electronics Korea, the robot provides an industrial automation solution and transmits data to its server in real-time, according to Reuters. It is powered by SK's fifth-generation (5G) technology. Korea has long been using robotics for tasks, including manufacturing and cleaning.

It's a contradiction that's long slowed the forward march of artificial intelligence in medicine: Machine learning models need to be trained on lots of diverse data from hospitals around the world -- but those hospitals are often reluctant to ship out their data due to privacy concerns, legal issues, and a cautious culture. One promising way to get around that problem is a technique known as federated learning, which allows models to be trained without having to share data to a central server or in the cloud. Now, the approach is being put to the test in an ambitious project to build an AI system from thousands of brain tumor scans from several dozen hospitals and research institutions around the globe. Unlock this article by subscribing to STAT Plus and enjoy your first 30 days free! STAT Plus is STAT's premium subscription service for in-depth biotech, pharma, policy, and life science coverage and analysis.

A Google search for AI use cases turns up millions of results, an indication of the many ways in which AI is applied in the enterprise -- or at least can be applied (see section "Adoption in the enterprise"). AI use cases span industries from financial services -- an early adopter -- to healthcare, education, marketing and retail. AI has made its way into every business department, from marketing, finance and HR to IT and business operations. Additionally, the use cases incorporate a range of AI applications. Among them: natural language generation tools used in customer service, deep learning platforms used in automated driving, and biometric identifiers used by law enforcement. Here is a sampling of current AI use cases in multiple industries and business departments with links to the TechTarget articles that explain each one in depth.

The world is going through extremely turbulent times. With the ongoing disruption of our lives, communities, and businesses from the COVID-19 pandemic, predictions from existing machine learning models trained prior to the pandemic become less reliable. There is plenty of historical data, but historical examples from before the pandemic may not provide the relevant examples needed to train a model that is useful today. We are left with only training data gathered in the most recent weeks, data which may, in turn, prove to be irrelevant even a few weeks from now as the situation continues to evolve. The patterns our existing models have uncovered have changed and are likely to continue to change.

The challenges in the real world get more complex and competing than an online competition. Hackathon might not paint the exact picture, and the success at these competitions should not be mistaken for expertise at the industry level. However, Kaggle, one of the world's finest platforms for data scientists, gives aspirants the best possible introduction into the tricky world of data. Analytics India Magazine has been exclusively covering the stories of top Kagglers, and today we compile a few nuggets of wisdom from those interviews that can guide an aspirant. "A right proportion of hard work, dedication, persistence, never giving up attitude and luck are the most important ingredients that helped me," said Abhishek Thakur when asked about his Kaggle success and what made him the world's first 4x grandmaster. When asked about what it takes to get to the top, Darragh, a Kaggle grandmaster, recollecting Jermey Howard, said that the best practitioners in machine learning all share one particular trait in common; they're very, very tenacious.

In both the consumer and business worlds, technology is constantly and rapidly evolving. Unique and innovative new business, health and consumer technologies are emerging every day, but sometimes it takes a little time for the "next big thing" to get recognized and catch on. Google, for instance, launched the original iteration of G-Suite back in 2006--long before the cloud computing and real-time collaboration became the standard. As leaders in the tech field, the members of Forbes Technology Council are always on the lookout for emerging devices, programs and systems that could revolutionize their industry--even if the tech is still in its early phases. We asked a group of them to share the most impressive piece of tech from the last three years that most people aren't aware of yet.

Sometimes the capturing of an image or a single video can have a transformative effect. George Floyd's killing is an example. The eight-minute, 46-second video speaks for itself. That is why it sent so many Americans onto the streets. And anyone contending with state violence, whether they are in Minneapolis, Hong Kong or the Middle East, knows that sometimes all they need to prove their point - to expose illegality - is the right picture.

In the world of enterprises, AI technology plays a significant role. According to the recent study by PwC, 72% of executives believe that this technology will proffer sizeable advantages for enterprise companies in the near future. Not only this, but it can also make every area of business less of a headache. AI has already set its sights on hiring or recruitment process. More enterprise companies are looking forward to the use of AI-solutions to accelerate their work process and mitigate shortfalls.

The World Post Pandemic: How surveillance and weapon systems, used unwisely, can harm humanity! Mark Twain once wrote "against the assault of laughter nothing can stand." Ethics In Technology is planning to put Mark Twain's statement to the test about the military-industrial complex and the surveillance state. Join us for a night of thought-provoking presentations followed by some wonderful comedy. The show is hosted by nonprofit organization Ethics in Technology, a nonprofit watchdog group advocating for a world where big tech firms and technology work to serve humanity and the planet, rather than the other way around.

Sen. Rob Portman recently introduced a bill with bipartisan backing to develop a national cloud computer for AI research, which would allow those with barriers to entry or facing hurdles to more efficiently progress their work.The bill, if passed, would establish a task force to develop a roadmap for development of AI technology, which figures to have wide ranging impacts on fields such as health care, transport and communications, among others, over the next few decades.Artificial intelligence is the simulation of human intelligence processes, learning, in machines. According to a release from Portman's office, the legislation would convene a group of technical experts across academia, government, and industry to develop a detailed roadmap for how the United States can build, deploy, govern, and sustain a national research cloud.A companion bill has been introduced in the U.S. House of Representatives."We With China focused on toppling the United States' leadership in AI, we need to redouble our efforts with a sustained commitment to the best and brightest by developing a national research cloud to ensure our technical researchers get the tools they need to succeed," said Portman."This …