Anthropicは科学的研究のためのサポートを拡大しました
Claudeをカバーする3年間のサポートプログラム、APIレベルと研究トレーニングが発表されました。
AI NEWS JOURNAL
研究与论文
沿着一个主题，追踪新的事实与后续进展。
Does better work always mean better workers?
Does better work always mean better workers?
Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
What AI gets wrong and what failure teaches us
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
数学におけるAIの進捗状況の共有
OpenAIは、内部フロンティアモデルから数学のオープンな問題に関する新しい結果を公開し、リーン証拠正式化とGitHubの研究の詳細を共有します.
ジャンプ取引は、ChatGPTで定量研究をスケーリングする方法
ジャンプトレーディングは、量的研究を拡大するためにOpenAIを使用しています。 複数のデータソースと人間のレビューを組み合わせるAIワークフローの長期実行方法を参照してください.
Forecasting space weather risks on power grids
Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arrives. The post Forecasting space weather risks on power grids appeared first on Microsoft Research.
How Diffusion Controller unifies and simplifies AI image generation
Algorithms & Theory
Introducing Quine: An AI research system designed for the complexity of biology
Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. The post Introducing Quine: An AI research system designed for the complexity of biology appeared first on Microsoft Research.
One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact
Since launching a year ago, the Microsoft Research Asia — Singapore lab has established a strong foundation, deepened collaboration across government, academia, and industry, and explored how frontier AI research can create real-world value. The post One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact appeared first on Microsoft Research.
Hallo, Deutschland!
Mistral opens a Munich hub for Physics AI and Industrial AI research, partnering with German industry.
並列カットの研究時間とGPT-6アストラで半分のコスト
GPT‐6 Astraは、Parallelのエージェントが、時間半とコスト半額のコスト対前のモデルで、労働市場データを研究および合成することを許可しました.
The future of practice: Enabling teachers to create learning interactives with generative UI
Education Innovation
労働者が新しい作業方法のロックを解除する方法
新しいOpenAI経済研究では、労働者が従来の役割を超えてAIを使用する方法や、新しい活動がその作業の部分を再発する様子が示されています.