When AI-powered prosthetic arms that move autonomously become widespread, understanding how people feel about them and accept them will be crucial. In a study appearing in Scientific Reports, ...

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 ...

Autonomous robots are moving beyond scripted motions and narrow task automation into a new era of adaptable, ...

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 ...

Advances in ADAS, from sensor fusion to AI integration to 4D radar, are being driven by cutting-edge SoCs facilitating the ...

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 ...

Imagine a world where robots don’t just follow pre-programmed instructions but actually learn and adapt like living beings. The integration of IntuiCell technology into the Luna robot dog represents a ...

Below are five AI-driven trends set to define telecom strategies in 2026. They collectively signal a shift from manual ...