For the first time, researchers at Leipzig University have shown that tiny synthetic microswimmers can perceive their ...

SAN MATEO, Calif.-- (BUSINESS WIRE)--Mar 18, 2026-- ...

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...

Collaboration between materials scientists and data scientists helps identify patterns in growing thin films. (Nanowerk News) From cell phones to solar panels to quantum computers, thin films are ...

The autonomous vehicle industry is heating up thanks to advances in AI. But can those same innovations help startups like HyprLabs build safe tech? But using a small, agile, and cheap team to get from ...

The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...

Explore how AI drones and autonomous drone technology are transforming industries through intelligent flight, automation, and data-driven innovation for safer, faster, and smarter operations.

I boarded a Mercedes-Benz vehicle classified as Level 2++ autonomous driving, which requires a driver’s supervision, in front of the Signia Hotel in San Jose, California. Shortly after starting the ...