Tech Xplore on MSN

Reinforcement learning accelerates model-free training of optical AI systems

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

True agentic AI is years away - here's why and how we get there

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
Tech Xplore on MSN

AI models stumble on basic multiplication without special training methods, study finds

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
IEEE

Autonomous Driving via Knowledge-Enhanced Safe Reinforcement Learning

Abstract: Recently, the autonomous driving technology is at a critical phase evolving from typical, closed scenarios to large-scale, open driving scenarios, which is challenged by the diversity and ...
IEEE

Trajectory Planning of Robotic Manipulator in Dynamic Environment Exploiting Deep Reinforcement Learning

Abstract: This study is about the implementation of a reinforcement learning algorithm in the trajectory planning of manipulators. We have a 7-DOF robotic arm to pick & place the randomly placed block ...
BBC

Unit 1: English In A Minute

Welcome to English In A Minute. Give us a minute and we'll give you a hot tip about English. Grammar, vocabulary... there's so much to learn! And all taught by your favourite BBC Learning English ...