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Check out recent work on learning to discover.
Large Discovery Models: learning where to search next
An LLM proposes, a Bayesian surrogate scores uncertainty, and the loop iterates — cutting validation error by 2.4x, binding energy by 18%, and boosting molecular objectives by 60%+ across programs, proteins, and molecules.View quoted post on X
Check out our multiagent reinforcement learning library together with Shanghai Jiaotong: reddit.com/r/reinforcemen…
www.reddit.com From the reinforcementlearning community on Reddit: MALib: A parallel framework for population-ba... Explore this post and more from the reinforcementlearning community Our weird behavior during the pandemic is messing with AI models technologyreview.com/2020/05/11/100…
www.technologyreview.com Our weird behavior during the pandemic is messing with AI models Machine-learning models trained on normal behavior are showing cracks —forcing humans to step in to set them straight. Beeswax Buys MediaGamma to Shore Up Programmatic Offering adweek.com/programmatic/b… via @Adweek
www.adweek.com Beeswax Buys MediaGamma to Shore Up Programmatic Offering Beeswax buys AI-specialist MediaGamma to further international expansion plus broaden its services as ad tech braces itself for an overhaul.