Innovation in AI

What We Do

The Kempner Institute is dedicated to forging transformative AI capabilities that yield meaningful societal and technological impacts. We develop cutting-edge AI solutions, explore novel data sources, and delve into new application domains. Our recent work in this area includes advancing machine learning in resource-limited environments, particularly for on-device applications, navigating issues of copyright and watermarking in generative AI, and creating new opportunities for applications of ML architectures in bioengineering and drug design.

Research Spotlight

ML Applications in Bioengineering and Drug Design

Kempner Associate Faculty Member Marinka Zitnik is leveraging an innovative approach to develop the first sequence-structure multimodal model with a unique capability to co-design both protein pocket sequences and the pocket’s corresponding 3D structure. Dr. Zitnik is training a 20B model on the Kempner’s compute cluster with the goal of developing the first multimodal foundation model for therapeutics—seeking to advance the state of the art in LLMs by providing a universal protein language model.

Read more about Dr. Zitnik's work

Research Projects

Resource-constrained ML

Kempner researchers introduce an algorithmic method– including code– to elastically deploy large models: meet the #MatFormer.

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Watermarking with Generative AI

New research from the Kempner finds that watermarking in AI is impossible under natural assumptions.

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AI and Scientific Discovery

In two articles in Nature, the Kempner’s Marinka Zitnik offers new frameworks for using AI to advance scientific discovery.

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