The AI adoption playbook: Lessons from Microsoft’s internal strategy

次を見る

• 

  Introducing Muse: Our first generative AI model designed for gameplay ideation

  May 20, 2026
• 

  Designing Dynamic Measure Transport for Sampling

  May 19, 2026

  • Aimee Maurais
• 

  Guiding the AI disruption to the Good Place

  May 14, 2026

  • Yash Lara,
  • David Rothschild
• 

  New fine-tuning of language models: Match meaning, not tokens

  May 14, 2026

  • Yash Lara,
  • Carles Domingo-Enrich
• 

  Introducing Interwhen: Steering reasoning agents with real-time verification

  May 14, 2026

  • Yash Lara,
  • Amit Sharma
• 

  Introducing GitHub Agentic Workflows: AI that runs your repo

  May 14, 2026

  • Yash Lara,
  • Peli de Halleux
• 

  MagenticLite: A full-stack agentic experience powered by Small Models

  May 14, 2026

  • Harkirat Behl,
  • Weili Shi,
  • Hussein Mozannar
• 

  Generative AI for High-Stakes Decision-Making with Applications in One Health

  May 12, 2026

  • Lingkai Kong
• 

  Language & Voice AI for Africa: From Data to Deployment and Impact

  April 30, 2026

  • Vukosi Marivate,
  • Tavonga Siyavora,
  • Tobi Olatunji

  、など。アル。
• 

  Upper Bound 2024: Towards Human-Centered AI in AAA Video Game

  June 11, 2024

  • Raluca Georgescu