NVIDIA’s Computex Keynote: Digital Humans, Weather and Robotics

Matthew Berman briefly reviews Jensen Huang’s announcements on AI-generated characters, weather modeling, Blackwell hardware and factory robots.

MBMatthew Berman登壇者 · Forward Future
チャンネル
Matthew Berman
公開日
2024年6月7日
動画
0:53
読了時間
1 分
スライド
2
原文
英語
YouTube で開く
スクロールすると動画は右下に小さくなって再生を続けます。字幕は閲覧言語に合わせて切り替わります。
閲覧言語2 言語で読めます
この記事はまだ日本語に翻訳されていないため、英語の原文を表示しています。
要約

30 秒でわかる

In a short video produced in partnership with NVIDIA, Matthew Berman recaps Jensen Huang’s Computex keynote. He highlights digital humans, weather prediction, the Blackwell platform and the company’s vision for robotics in automated factories.

  1. 1Digital humansBerman highlights AI-powered human representations shown in the keynote.
  2. 2Weather predictionThe presentation discussed using NVIDIA chips to model weather and prepare for extreme events.
  3. 3Hardware and robotsBlackwell and humanoid robots feature in the company’s vision for future computing and factories.

ポイント

  1. The keynote presented AI-powered digital human demonstrations.
  2. NVIDIA discussed using accelerated computing for weather prediction.
  3. Blackwell hardware and robotics were part of its broader AI factory vision.
全文

チャプターごとに整えた全文を読む

文字起こしのみ
01

A quick keynote recap

Berman reviews digital humans, weather modeling, AI hardware and robotics. The video was produced in partnership with NVIDIA.

NVIDIA CEO Jensen Huang took the stage at Computex and discussed several directions for AI. Among the examples were digital humans: AI-powered representations of people. The keynote also showed how the company wants to use accelerated computing to predict weather patterns and help prepare for extreme weather.

Weather prediction visualization
スライド 1 / 2Weather prediction visualizationThe keynote footage illustrates the discussion of weather modeling and extreme events.
NVIDIA hardware on stage
スライド 2 / 2NVIDIA hardware on stageJensen Huang presents hardware while the video discusses the Blackwell platform.

Huang discussed the scaling of AI models and the hardware built to support them, including NVIDIA’s Blackwell platform. He also presented robots and humanoids in the context of future automated factories. This video was made in partnership with NVIDIA; the full keynote provides the detailed announcements.

同じチャンネルの記事

スライド 6 枚25:50EN
MBMatthew Berman· 2026年10月24日Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
スライド 2 枚32:20EN
MBMatthew Berman· 2026年10月23日Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1
45:08EN
MBMatthew Berman· 2026年10月21日Sam Altman on AI Discovery, Consciousness, Compute and a Human-Centered FutureMatthew Berman, Sam Altman · Forward FutureIn a conversation with Matthew Berman, Altman discusses scientific progress, personal assistants, recursive self-improvement and the importance of human agency.AI for sciencePersonal agentsConsciousness+2
スライド 5 枚12:14EN
MBMatthew Berman· 2026年10月14日Gemini 4 Argon Tested: 3D Demos, a Spreadsheet Prototype and Benchmark ResultsMatthew Berman · Forward FutureMatthew Berman tests Google’s model on games and visual projects, then compares reported coding and agent benchmarks.GeminiBenchmarksコーディングエージェント+1
スライド 5 枚10:36EN
MBMatthew Berman· 2026年10月13日Meta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.モデルと学習BenchmarksAI cost & performance+1
スライド 2 枚17:37EN
MBMatthew Berman· 2026年10月10日AI Coding, Game Mashups and the Value of Human TasteMatthew Berman · Forward FutureMatthew Berman explains decompilation and game mashups, then argues that iterative AI coding changes software and creativity.コーディングエージェントSoftware engineeringCreativity+1