Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like training robots or playing complex games, rewards are few and far between, making it easy for AI to waste time on dead ends.
Clustering-based approach accelerates AI learning in robotics and gaming
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HighlightsFree Dark Web Monitoring Stamps the $17 Million Credentials Markets
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HighlightsSmart buildings: What happens to our free will when tech makes choices for us?
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AppsScreenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
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HighlightsDarknet markets generate millions in revenue selling stolen personal data, supply chain study finds
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SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
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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
