In the news | Microsoft on the Issues
Accelerating AI opportunity and climate solutions in Africa
Microsoft firmly believes that AI has tremendous potential to accelerate solutions to the various challenges societies are facing, including the climate crisis.
In the news | IEEE Spectrum
1-bit LLMs Could Solve AI’s Energy Demands
“Imprecise” language models are smaller, speedier—and nearly as accurate. Large language models, the AI systems that power chatbots like ChatGPT, are getting better and better—but they’re also getting bigger and bigger, demanding more energy and computational power. For LLMs that…
Research Focus: Week of May 27, 2024
How can generative AI tools represent less common identities and narratives; Can LLMs help players participate in game narratives; Using LLMs to improve geospatial demographic data; A Graph RAG Approach to Query-Focused Summarization; and more.
The Crossroads of Innovation and Privacy: Private Synthetic Data for Generative AI
| Gbola Afonja, Robert Sim, Zinan Lin, Huseyin Atahan Inan, and Sergey Yekhanin
Synthetic data could potentially help address some privacy concerns with AI model development and training, but it comes with limitations. Researchers at Microsoft are exploring techniques for producing more realistic data with strong privacy protections.
程鹏：“研究员+工程师”模式的探路者，推动人工智能与系统协同进化
编者按：尽管人工智能大模型在处理任务的广度上已经取得了突破，但它在特定领域的深度和精确性上仍存在局限。为了应对这一挑战，微软亚洲研究院提出了特定领域智能（Artificial Specialized Intelligence, ASI）的概念，并沿着人工智能与系统协同进化（AI-System Co-evolution）的研究路线，利用人工智能技术自动化设计和构建底层系统与硬件，为用户提供定制化的服...
In the news | Foundation Capital
The Promise of Multi-Agent AI
In this post, I share learnings from my conversation with Chi Wang, a principal researcher at Microsoft and the creator of AutoGen. Agents have been a cornerstone of human-computer interaction for decades, from the friendly Clippy of Microsoft Office fame…
In the news | Foundation Capital
The Promise of Multi-Agent AI
Agents have been a cornerstone of human-computer interaction for decades, from the friendly Clippy of Microsoft Office fame to auto-suggestions in Google Docs and NPCs in video games. While these early agents hinted at the potential for personalized, goal-oriented interactions,…
人工智能的迅猛发展，极大地改变了我们的工作和生活方式，带来了诸多便利，但与此同时，各种潜在风险也随之涌现，例如人工智能生成的内容可能会包含歧视性话语、虚假性信息、隐私泄露等。反尺度定律表明：随着 AI 模型规模的增加，可能带来的风险和问题也会相应增大。因此，人们在追求更强大的人工智能时，也必须让人工智能谨守造福人类的原则，并且在人工智能对人类社会造成不良影响之前就做好准备。这也正是微软亚洲研究院正...
Ideas: Designing AI for people with Abigail Sellen
| Gretchen Huizinga and Abigail Sellen
Social scientist and HCI expert Abigail Sellen explores the critical understanding needed to build human-centric AI through the lens of the new AICE initiative, a collective of interdisciplinary researchers studying AI impact on human cognition and the economy.