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AI
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Smita Krishnaswamy and Mark Gerstein Recognized with Yale Faculty Innovation Awards
On Nov. 10, eight Yale School of Medicine (YSM) faculty members were recognized with Yale Faculty Innovation Awards, which honor academic founders whose startups—rooted in […]
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Molecular Biophysics and Biochemistry Special Seminar: Martin Renqiang Min (NEC), “Agentic Generative AI for Precision Medicine”
Abstract: Owing to the availability of large-scale multimodal biomedical data and the revolution of information technologies, data-driven precision medicine will greatly reshape our healthcare […]
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Bridging Biology and AI: Yale and Google’s Collaborative Breakthrough in Single-Cell RNA Analysis
Google and Yale researchers have developed a more “advanced and capable” AI model for analyzing single-cell RNA data using large language models that is expected to “lead to new insights and potential biological discoveries.”
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FDS Colloquium: George Lan (Georgia Tech), “Algorithmic Foundations of Risk-averse Optimization for Trustworthy AI”
Talk summary: Over the past two decades, stochastic optimization has made remarkable strides, driving its widespread adoption in machine learning (ML) and artificial intelligence (AI). […]
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FDS Seminar: Akhil Premkumar (UChicago), “An information theoretic view of machine learning”
Abstract: Diffusion models serve as a bridge between generative AI and information theory. These models have demonstrated a remarkable ability to learn high-dimensional continuous distributions, […]
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FDS Special Seminar: Peiran Jin (Microsoft Research), “Nature Language Model: Deciphering the Language of Nature for Scientific Discovery”
Nature Language Model: Deciphering the Language of Nature for Scientific Discovery [https://arxiv.org/abs/2502.07527] Abstract: Foundation models have revolutionized natural language processing and artificial intelligence, significantly […]