Reinforcement Learning is a powerful approach to machine learning that enables agents to learn optimal behaviors through ...

Researchers at Pacific Northwest National Laboratory (PNNL) are using machine learning (ML) to identify subtle changes in ...

Abstract: Contemporary autonomous driving (AD) methodologies ... Therefore, we introduce Dual-Process Learning (D-PL) approach for cognitive-enhanced decision-making. Inspired by dual-process theory, ...

Autonomous AI refers to the ability of a system or machine to perform tasks and make decisions without direct human ...

From cell phones to solar panels to quantum computers, thin films are essential to current and emerging technologies. But making functional thin films requires control. During hours-long processes, ...

Abstract: Developing effective vision-based navigation algorithms adapting to various scenarios is a significant challenge for autonomous drone systems, with vast potential in diverse real-world ...

For the first time, a drone has beaten human pilots in an international drone racing competition, marking a new milestone in the development of artificial intelligence. On Saturday April 14, 2025, two ...

Autonomous Learning Robots (ALR) Lab at the Institute for Anthropomatics and Robotics of the Department of Informatics at Karlsruhe Institute of Technology ...

Meet Luna, the robot dog with IntuiCell technology that mimics human learning, setting a new standard for intelligent AI ...

Wayve co-founder and CEO Alex Kendall sees promise in bringing his autonomous vehicle startup’s tech to market. That is, if Wayve sticks to its strategy ...