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AI2BMD
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对话《Nature》论文作者,揭秘AI2BMD背后的故事 

November 15, 2024

作者:科学智能中心 编者按:近期,科学杂志《自然》(《Nature》)正刊发表了微软研究院科学智能中心(AI for Science)团队的研发成果——首个基于人工智能的生物分子量子级精度动力学模拟系统 AI2BMD。该系统不仅突破了传统生物动态研究方法的瓶颈,同时也极大地促进了人工智能在生物分子模拟领域的应用,推动了药物设计、酶工程和疫苗研发等领域的创新进展。 AI2BMD 研究过程中面临了哪些...

The image features three white icons on a gradient background transitioning from blue on the left to green on the right. The first icon, located on the left, depicts a hierarchical structure resembling a workflow with connected squares. The middle icon represents GraphRAG (interconnected nodes and lines). The third icon, on the right, shows a globe with a magnifying glass overlaying it, symbolizing global search.
Microsoft Research Blog

GraphRAG: Improving global search via dynamic community selection 

November 15, 2024 | Bryan Li, Ha Trinh, Darren Edge, and Jonathan Larson

Retrieval-augmented generation (RAG) helps AI systems provide more information to a large language model (LLM) when generating responses to user queries. A new method for conducting “global” queries can optimize the performance of global search in GraphRAG.

In the news | Forbes

Work On the Wild Side: How AI Is Helping Conservation in Africa and the Huge Potential of Environment Recordings 

November 15, 2024

From the rainforest to the ocean, artificial intelligence is decoding nature’s most complex data patterns and is proving to be a game-changer in conservation.

In the news | NBC News

Vatican creates exhibit that will replicate St. Peter’s Basilica using AI 

November 15, 2024

"The People's Basilica" is a 3D replica of St. Peter's Basilica that was made using AI in the Vatican. NBC News' Claudio Lavanga has more on the exhibit and how the model was made.

Orca-3 blog - abstract wave graphic
Microsoft Research Blog

Orca-AgentInstruct: Agentic flows can be effective synthetic-data generators 

November 14, 2024 | Arindam Mitra, Ahmed Awadallah, and Yash Lara

Orca-AgentInstruct, from Microsoft Research, can generate diverse, high-quality synthetic data at scale to post-train and fine-tune base LLMs for expanded capabilities, continual learning, and increased performance.

Outlined illustrations of Tong Wang and Bonnie Kruft for the Microsoft Research Podcast, Abstracts series.
Microsoft Research Podcast

Abstracts: November 14, 2024 

November 14, 2024 | Bonnie Kruft and Tong Wang

The efficient simulation of molecules has the potential to change how the world understands biological systems and designs new drugs and biomaterials. Tong Wang discusses AI2BMD, an AI-based system designed to simulate large biomolecules with speed and accuracy.

In the news | Forbes

From AI And 400,000 Photos, A Richly Detailed St. Peter’s Basilica 

November 14, 2024

A sweeping new digital twin of St. Peter’s Basilica, the 400-year-old Vatican City church considered central to Christianity, lets visitors explore the structure’s renowned Renaissance architecture and historic treasures from anywhere in the world without having to board a plane…

In the news | Russell Reynolds Associates

Microsoft’s Vijay Mital Explains How CEOs Can Guide Their Organizations Through Radical Product Innovation with AI 

November 14, 2024

AI can drive radical product innovation, transforming business models and industries. To unlock this opportunity, CEOs must lead with vision and curiosity.

Modular Models blog hero
Microsoft Research Blog

Toward modular models: Collaborative AI development enables model accountability and continuous learning 

November 13, 2024 | Lucas Caccia, Darya Moldavskaya, and Alessandro Sordoni

Modular models can democratize AI development while unlocking new benefits and use cases. Modularized AI can be more flexible, more compliant, and cheaper to develop—requiring less data and fewer compute resources to train expert models.

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