We know you’re busy and may not have time to check out VentureBeat every day, so each week we offer this look at the most popular stories of the week. Here are the most popular stories for the week of September 26.
Zhi Zheng's robot is skilled at Tai Chi, and her research team hopes it will soon lead a class of older adults at a local community center. Her robot is more than a cute companion. It can help improve cognitive function and provide insights about how people interact with robots in various settings.
Neural networks are learning algorithms that approximate the solution to a task by training with available data. However, it is usually unclear how exactly they accomplish this. Two young Basel physicists have now derived mathematical expressions that allow one to calculate the optimal solution without training a network.
A newcomer to the Artificial Intelligence art market, Stable Diffusion, can create images almost indistinguishable from human artwork.
The metaverse will rely heavily on synthetic data, which is gaining traction as a tool to help train AI/ML models.
A unique research project is tracking hundreds of people at risk for suicide, using data from smartphones and wearable biosensors to identify periods of high danger — and intervene.
Magic Leap 2 is now available for purchase in the U.S. and select other countries for $3,299. The AR headset is aimed at the enterprise.
As AI continues to be applied across the healthcare spectrum — from administration to patient interaction and medical research, diagnosis and treatment — here's how it's making an impact.
Correctly labelling training data for AI models is vital to avoid serious problems, as is using sufficiently large datasets. However, manually labelling massive amounts of data is time-consuming and laborious.
AI helps keep the lines of communication open during a disaster and also better predict the intensity of hurricanes in the future.
Onxyia launches today with a new security AI solution designed to help CISOs find ways to improve their security posture.
Military AI systems and machine learning programs should be adaptable, upgradeable, easy to install — and always subject to a human veto.
A few years ago, the chess website Chess.com temporarily banned U.S. grandmaster Hans Niemann for playing chess moves online that the site suspected had been suggested to him by a computer program. It had reportedly previously banned his mentor Maxim Dlugy.
Monnai aims to use explainable AI to deliver a global infrastructure and power fintech decision-making at scale.
Today, machine learning helps determine the loan we qualify for, the job we get, and even who goes to jail. But when it comes to these potentially life-altering decisions, can computers make a fair call? In a study published September 29 in the journal Patterns, researchers from Germany showed that with human supervision, people think a computer's decision can be as fair as a decision primarily made by humans.
OpenAI has removed the waitlist for its DALL-E service and the text-to-image generator is now publicly available.
Make-A-Video builds on AI image generation technology (including Meta's Make-A-Scene work from earlier this year)
Arize AI, an ML observability platform providing insight into issues such as bias and data drift, is now available on Google Marketplace.