The CDO TIMES

MIT-Takeda Program wraps up with 16 publications, a patent, and nearly two dozen projects completed

The program focused on AI in health care, drawing on Takeda’s R&D experience in drug development and MIT’s deep expertise in AI.

Understanding the visual knowledge of language models

LLMs trained primarily on text can generate complex visual concepts through code with self-correction. Researchers used these illustrations to train an image-free computer vision system to recognize real photos.

A smarter way to streamline drug discovery

The SPARROW algorithm automatically identifies the best molecules to test as potential new medicines, given the vast number of factors affecting each choice.

Technique improves the reasoning capabilities of large language models

Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.

Electrical Engineering&Computer Science (eecs)

MIT-Takeda Program wraps up with 16 publications, a patent, and nearly two dozen projects completed

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Understanding the visual knowledge of language models

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A smarter way to streamline drug discovery

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Technique improves the reasoning capabilities of large language models

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