The Kempner Institute for the Study of Natural and Artificial Intelligence is a research institute at Harvard University devoted to advancing understanding of intelligence in biological and machine systems.[1]
The institute was publicly launched in 2022 with the aim of bridging brain science and artificial intelligence, cultivating researchers across neuroscience, cognitive science, computer science, and related fields.[2]
Leadership and staff
The institute is co-directed by computer scientist Sham Kakade and neuroscientist Bernardo Sabatini.[3][4][5][6][7] Researchers affiliated with the Kempner Institute include: Kanaka Rajan[8][9], Marinka Zitnik[10][11][12], Kiante Brantley[13], Samuel Gershman[14], and Venkatesh Murthy.[15]
Research context and areas
The institute focuses on understanding the basis of intelligence in natural and artificial systems.[16][17]
Research topics supported by the institute include: the science of AI, innovation in AI, and AI & the brain. This includes topics such as language processing in the brain[18] and AI for biomedicine.[19]
In February 2024, the Allen Institute for AI (AI2) released the OLMo 7B (Open Language Model) framework, a release partly enabled by a collaboration with the Kempner Institute, alongside partners such as AMD, Databricks, CSC (Finland), and the University of Washington.[20][21]
Computing infrastructure
The Kempner Institute hosts a supercomputing cluster—the Kempner AI Cluster—at the Massachusetts Green High Performance Computing Center (MGHPCC).[22] In 2024, the Kempner AI cluster ranked 85th in the world in speed (TOP500) and 32nd in energy-efficiency (Green500).[23]
Building
The Kempner Institute is housed in a 20,000 square foot computational lab and office suite, located on the sixth floor of the Harvard Science and Engineering Complex (SEC) in Allston, MA.[24]
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