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 ...

Buckle up—researchers at the University of Texas at Arlington are reimagining what driver’s education can look like for young, neurodivergent drivers. "Those with conditions like ADHD, high ...

TEL AVIV, Israel--(BUSINESS WIRE)--Autobrains today announced the automotive industry’s first application of Agentic AI to power both Advanced Driver Assistance Systems (ADAS) and Automated Driving ...

GM launched a test fleet of 200 autonomous vehicles in California and Michigan that will operate without input from the driver. The vehicles will all have human drivers behind the wheel ready to ...

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 ...

Plus: OpenAI is also creating a "super app." This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of technology. OpenAI has a new ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough. Modern manufacturers ...

🛍️ 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 ...

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 ...

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis ...