Penn State researchers use large language models to streamline metasurface design, significantly reducing the time and ...

Nvidia has introduced a new set of open-source artificial intelligence tools aimed at advancing autonomous vehicle ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Engineers combine measured data, multi-level behavioral models, and simulation tools to predict real-world performance across complex RF and wireless systems. Modern RF and wireless systems push the ...

A CRISIS INTERVENTION TEAM TRAINING IS SOMETHING MANY CENTRAL FLORIDA FIRST RESPONDERS LEARN. IT’S ALL IN AN EFFORT TO TRY AND HANDLE CRISIS MENTAL HEALTH CALLS WITH THE UTMOST CARE. WESH TWO ...

OpenAI has announced plans to reorganize its Model Behavior team, moving them to join its Post Training team. The Model Behavior team will now report to OpenAI’s Post Training lead, Max Schwarzer. AI ...

BOSTON—Engineers at Boston Dynamics Inc. and Toyota Research Institute (TRI) have achieved a breakthrough in artificial intelligence and robotics research. Using an Atlas humanoid robot, they ...

Forbes contributors publish independent expert analyses and insights. Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University. Amidst all the ...

Artificial intelligence (AI) systems are increasingly central to critical infrastructure, business operations, and national security. As their adoption accelerates, so do the sophistication and ...

A new Apple-backed AI model trained on Apple Watch behavioral data can now predict a wide range of health conditions more accurately than traditional sensor-based approaches, according to a recently ...

A new Apple-supported study argues that your behavior data (movement, sleep, exercise, etc.) can often be a stronger health signal than traditional biometric measurements like heart rate or blood ...

Abstract: Fighter pilots train maneuvers and missions in simulators with and against simulated entities that must exhibit realistic behavior for effective training. However, current simulated entities ...