Researchers at the University of Virginia have made a significant advancement in manufacturing technology by developing an AI-driven system that could transform how factories operate. Using Multi-Agent Reinforcement Learning (MARL), the team has created a more efficient way to optimize manufacturing systems, improving both speed and quality while reducing waste.
AI-driven system enhances manufacturing speed and quality
-
HighlightsFree Dark Web Monitoring Stamps the $17 Million Credentials Markets
-
HighlightsSmart buildings: What happens to our free will when tech makes choices for us?
-
AppsScreenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
-
HighlightsDarknet markets generate millions in revenue selling stolen personal data, supply chain study finds
-
SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
-
Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
