2025年六大AI趋势展望
随着2025年的临近，人工智能正逐步从辅助工具演变为工作与生活中不可或缺的伙伴。AI 驱动的代理（agent）将拥有更高的自主性来执行更多任务，从而提升人们的生活质量。人工智能在记忆与推理能力上的创新，也将助力人类社会寻找应对气候变化、医疗健康等重大挑战的新方法。而微软始终致力于帮助人们安全、可靠地构建与使用人工智能。 “人工智能已经将不可能变为可能，过去一年我们看到众多个人和组织从 AI 实验转...
With the rapid advancements in AI and robotics, the development of highly intelligent robots capable of seamlessly interacting with the physical environment is becoming increasingly achievable. As the next AI wave, embodied AI innovations promise to revolutionize various industries and…
NeurIPS 2024: The co-evolution of AI and systems with Lidong Zhou
| Lidong Zhou and Eliza Strickland
Just after his NeurIPS 2024 keynote on the co-evolution of systems and AI, Microsoft CVP Lidong Zhou joins the podcast to discuss how rapidly advancing AI impacts the systems supporting it and the opportunities to use AI to enhance systems…
PromptWizard: The future of prompt optimization through feedback-driven self-evolving prompts
| Akshay Nambi and Tanuja Ganu
PromptWizard from Microsoft Research is now open source. It is designed to automate and simplify AI prompt optimization, combining iterative LLM feedback with efficient exploration and refinement techniques to create highly effective prompts in minutes.
Moving to GraphRAG 1.0 – Streamlining ergonomics for developers and users
| Nathan Evans, Alonso Guevara Fernández, and Joshua Bradley
GraphRAG helps advance AI use in complex domains like science. Thanks to enthusiastic adoption and community engagement, we’ve upgraded the pre-release version. Check out the major ergonomic and structural updates in GraphRAG 1.0.
In the news | Harvard Business Review
How Generative AI Improves Supply Chain Management
Over the past few decades, advances in information technologies have allowed firms working to optimize their supply chains to move from decision-making on the basis of intuition and experience to more automated and data-driven methods, which has increased efficiency and…
In the news | MARKTECHPOST
This AI Paper from Microsoft and Novartis Introduces Chimera: A Machine Learning Framework for Accurate and Scalable Retrosynthesis Prediction
Chemical synthesis is essential in developing new molecules for medical applications, materials science, and fine chemicals. This process, which involves planning chemical reactions to create desired target molecules, has traditionally relied on human expertise. Recent advancements have turned to computational…
NeurIPS 2024: AI for Science with Chris Bishop
| Christopher Bishop and Eliza Strickland
From the Microsoft Booth at NeurIPS 2024, Microsoft Research AI for Science Director Chris Bishop discusses how AI is changing approaches to scientific advancement—from drug discovery to weather forecasting—and the profound impact it can have on the world.
Abstracts: NeurIPS 2024 with Jindong Wang and Steven Euijong Whang
| Gretchen Huizinga, Jindong Wang, and Steven Euijong Whang
Researcher Jindong Wang and Associate Professor Steven Euijong Whang explore the NeurIPS 2024 work ERBench. ERBench leverages relational databases to create LLM benchmarks that can verify model rationale via keywords in addition to checking answer correctness.