Reinforcement Learning
Ongoing coverage on Reinforcement Learning.
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After Google mapped an adult male fruit fly's brain, software engineers made it play Doom, Mario64, and Beat Saber
Software engineers have successfully trained a 3D model of a male fruit fly's brain, mapped by Google, to play video games including Doom, Super Mario 64, and Beat Saber. While the Doom playthrough is described as not very good, the Beat Saber performance is noted as surprisingly competent, with ongoing efforts to improve its reactive capabilities.
Not that we should be at all surprised, but Nvidia leans on AI pretty hard for speeding up how it plans and designs its…
Nvidia is heavily leveraging artificial intelligence to accelerate its chip design processes. Tools like NVCell, utilizing reinforcement learning, can now generate standard cell libraries overnight with results superior to human designs. AI is also being used to speed up design verification and explore novel approaches to complex problems like carry-lookahead chains. Furthermore, Nvidia has fine-tuned large language models, such as ChipNeMo, using proprietary design documents to create AI assistants that can help junior designers understand complex hardware components.
Black & White at 25: how Lionhead's hairbrained, stoner-powered game design became the harbinger of modern AI
Lionhead Studios' 25-year-old game Black & White is examined for its groundbreaking AI, particularly its creature companion, which learned and evolved based on player interaction. This early application of AI in games, developed by figures like Richard Evans and Peter Molyneux, is contrasted with modern AI advancements and their societal implications, highlighting games as a crucial testbed for AI research.
