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6 件
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スライド 6 枚41:05EN
Matthew Berman· 2026年5月15日Anthropic’s 2028 AI Leadership Scenarios: Chips, Open Models and a Policy DebateMatthew Berman, Jensen Huang · Forward FutureMatthew Berman examines Anthropic’s US–China scenarios, questions its proposed export restrictions and argues that adoption and open-weight models matter as much as frontier capability.GeopoliticsAI RegulationSemiconductors+2
スライド 5 枚16:12EN
Matthew Berman· 2025年10月18日AI News in October 2025: Claude Skills, DGX Spark and a Proposed AGI MeasureMatthew Berman, Jensen Huang, Elon Musk, Jeff Bezos · Forward FutureMatthew Berman reviews product announcements, early research and predictions, from reusable agent skills to orbital data centers.Agent skillsAI researchインフラとデプロイ+2
スライド 3 枚16:25EN
Matthew Berman· 2025年1月18日Why Test-Time Compute Could Reshape AI InferenceMatthew Berman, Lisa Su, Jensen Huang · Forward FutureMatthew Berman explains how extra computation at inference can improve model outputs, and why hardware executives expect a much larger inference market.AI researchモデルと学習AI cost & performance+1
スライド 6 枚32:29EN
Matthew Berman· 2025年1月8日NVIDIA at CES 2025: AI Agents, Cosmos and Project DIGITSMatthew Berman, Jensen Huang · Forward FutureMatthew Berman examines Jensen Huang’s keynote, from neural graphics and AI scaling to a desktop system for local model development.AI agentsSemiconductorsWorld models+2
スライド 5 枚1:13:59EN
Matthew Berman· 2024年6月5日Jensen Huang’s Computex 2024 Vision: NIM, Blackwell and Physical AIMatthew Berman, Jensen Huang · Forward FutureMatthew Berman presents NVIDIA’s keynote on AI infrastructure, digital humans, weather simulation and robot factories, with the demonstrations and vendor claims in context.SemiconductorsインフラとデプロイRobotics+2
スライド 7 枚16:27EN
Matthew Berman· 2024年2月29日Matthew Berman Reviews EMO’s Audio-Driven Portrait Video ResearchMatthew Berman, Jensen Huang · Forward FutureAlibaba researchers animate a portrait from an image and vocal audio; Berman examines the method, its limitations and the implications for trust in video.Generative media画像と動画Deep Learning+1