AI is making spacecraft propulsion more efficient – and could even lead to nuclear-powered rockets

A subset of AI called reinforcement learning is helping scientists improve nuclear fuel technology, which they could use to ...
Forbes

The AI Technology The C-Suite Is Actually Using, And What They Want Next

From simple text generation to autonomously powering robotic arms on production lines, AI technology offers enterprises a kaleidoscope of new capabilities. So which aspects of AI advancement have ...
acm.org

Rediscovering Reinforcement Learning

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...
C&EN

Reinforcement Learning-Based Nonlinear Model Predictive Controller for a Jacketed Reactor: A Machine Learning Concept Validation Using Jetson Orin

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
Newsday

Exploring interpretable machine learning

This guest essay reflects the views of Nirali Somia, a graduate student at Cold Spring Harbor Laboratory. It is part of a series of essays from current researchers at the Cold Spring Harbor Laboratory ...
Scientific Research Publishing

Huang, B.Q., Cao, G.Y. and Guo, M. (2005) Reinforcement Learning Neural Network to the Problem of Autonomous Mobile Robot Obstacle Avoidance. 2005 International Conference on ...

ABSTRACT: Aiming at the dimension disaster problem, poor model generalization ability and deadlock problem in special obstacles environment caused by the increase of state information in the local ...
IEEE

Human–Machine Shared Steering Decision-Making of Intelligent Vehicles Based on Heterogeneous Synchronous Reinforcement Learning

Abstract: Human-machine cooperation can simultaneously leverage the strengths of both human drivers and machines, making it a promising solution for improving driving safety, comfort, and experience.
GitHub

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning

Welcome to the official repository for MT-R1-Zero, the first open-source adaptation of the R1-Zero Reinforcement Learning (RL) paradigm for Machine Translation (MT). MT-R1-Zero achieves highly ...
Wired

Pioneers of Reinforcement Learning Win the Turing Award

In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...
The New York Times

Turing Award Goes to 2 Pioneers of Artificial Intelligence

Andrew Barto and Richard Sutton developed reinforcement learning, a technique vital to chatbots like ChatGPT. By Cade Metz Reporting from San Francisco In 1977, Andrew Barto, as a researcher at the ...