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スライド 3 枚8:17EN
Matthew Berman· 2025年7月31日ASI-Arch: An Automated Search for Neural Network ArchitecturesMatthew Berman · Forward FutureMatthew Berman explains a 2025 research system that proposes, trains and evaluates model designs in an iterative loop.Machine LearningAgent orchestrationExperimentation+1
スライド 5 枚13:39EN
Matthew Berman· 2024年12月27日Demis Hassabis on Digital Biology, AlphaFold and the Limits of Classical ComputingMatthew Berman, Demis Hassabis · Forward FutureMatthew Berman reviews Hassabis’s Nobel lecture on protein structure, AI-driven discovery and a speculative question about what classical learning algorithms can model.Computational BiologyAI for scienceDrug Discovery+2
スライド 5 枚11:23EN
Matthew Berman· 2024年8月30日GameNGen: Simulating DOOM with a Diffusion ModelMatthew Berman · Forward FutureMatthew Berman examines a 2024 research demonstration that generates an interactive DOOM-like game frame by frame, and considers what such systems might eventually enable.World modelsGenerative mediaAI research+2
スライド 2 枚0:56EN
Matthew Berman· 2024年2月10日1X’s 2024 EVE Robot Demonstration and the Path to Household ChoresMatthew Berman · Forward FutureMatthew Berman highlights a 1X robotics demonstration and imagines household help. The company describes autonomous execution trained using human demonstration data.RoboticsMachine LearningHuman-AI Collaboration
スライド 3 枚9:01EN
Matthew Berman· 2023年7月4日Installing and Testing DragGAN Locally: Matthew Berman’s 2023 WalkthroughMatthew Berman · Forward FutureA historical walkthrough of point-based image editing, dependency workarounds and the limits of an early DragGAN release.Generative media画像と動画Machine Learning