Tech Xplore

New AI testing method flags fairness risks in autonomous systems

Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an ...
IEEE

Q-Advantage Integrated Human-Guided Reinforcement Learning for Safe End-to-End Autonomous Driving

Abstract: Reinforcement learning (RL) is a promising approach for end-to-end autonomous driving, but its practical deployment remains challenging due to low sample efficiency and sensitivity to reward ...
Engadget

Blue Origin also wants to put AI data centers in space

Blue Origin has revealed its plans for an orbital AI data center system in a new filing with the Federal Communications Commission. The company has asked the agency for permission to deploy 51,600 ...
Popular Science

Autonomous firefighting robot can drive straight into a 1,000 degree blaze

🛍️ Amazon Big Spring Sale: 100+ editor-approved deals worth buying right now 🛍️ By Mack DeGeurin Published Mar 14, 2026 8:00 AM EDT Add Popular Science (opens in a new tab) Adding us as a Preferred ...
IEEE

Safety-Enhanced Deep Reinforcement Learning for Autonomous Driving: Dare to Make Mistakes to Learn Better and Faster

Abstract: Deep Reinforcement Learning (DRL) is becoming a prominent method for autonomous driving due to its strong capability to generate complex driving policy. However, DRL motion planning still ...
marktechpost

Andrej Karpathy Open-Sources ‘Autoresearch’: A 630-Line Python Tool Letting AI Agents Run Autonomous ML Experiments on Single GPUs

The framework establishes a specific division of labor between the human researcher and the AI agent. The system operates on a continuous feedback loop where progress is tracked via git commits on a ...