The Stanford professor’s work gives autonomous systems new frameworks for tackling complex tasks. Robots and AI agents are ...

Thermal soaring, a technique used by birds and gliders to utilize updrafts of hot air, is an appealing model-problem for studying motion control and how it is learned by animals and engineered ...

The uncertain stability of deep reinforcement learning training on complex tasks impedes its development and deployment, especially in intelligent vehicles, such as intelligent surface vessels and ...

Infrastructure AI today announced the Infrastructure Intelligence Interface Module, a breakthrough edge computing platform designed to transform static infrastructure into continuously learning ...

Discover the science behind Yann LeCun's billion-dollar bet against LLMs, focusing on self-supervised learning and predictive ...

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 ...

Continual robot learning is an emerging interdisciplinary field that integrates advances from machine learning, robotics, and cognitive science to build ...

Privacy professionals have likely spent the past few years adapting to machine learning, large language models and the many ...

Autonomous systems are playing a significant role in modern society, including self-driving cars and unmanned vehicles. Current and future engineers will be faced with significant challenges in ...

We have all heard about autonomous vehicles, especially self-driving cars. But did you know that many of the same principles apply to self-driving airplanes? As the era of autonomous transportation ...