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ATHENA SEMINAR SERIES: Computer Architectures for Mind-Machine Teaming

Abhishek Bhattacharjee
Friday, February 03, 2023
12:00 pm - 1:00 pm
Dr. Abhishek Bhattacharjee

The NSF AI Institute for Edge Computing (Athena) presents the next in our seminar series by Dr. Abhishek Bhattacharjee of Yale University, titled "Computer Architectures for Mind-Machine Teaming" on Friday, February 3, 2023, from 12-1pm EST via Zoom.

Direct brain-computer communication promises to treat neurological disorders, explain brain function, and augment all aspects of human cognition and decision-making. Delivering on the promise of this form of mind-machine teaming requires the design of computer systems that delicately balance the tight power, latency, and bandwidth trade-offs needed to decode brain activity, stimulate biological neurons, and control assistive devices most effectively.

This talk presents the design of two systems that unlock several brain-computer interactions while navigating the power and performance trade-offs posed by brain interfacing. The first system, HALO, is an accelerator-rich processing fabric that enables flexible single-brain-site interfacing at high data rates using only tens of milliwatts of power. The second system, Hull, realizes multi-brain-site interfacing using a distributed system of networked accelerator-rich processing fabrics built atop HALO. Driven by important brain-computer interface applications (e.g., epilepsy, movement disorders, paralysis), we explore systems research questions pertaining to the design and integration of hardware accelerators, co-design of hardware accelerators with networking & storage stacks, and clean interfaces/abstractions for programmability. Key insights are undergirded via two chip tape-outs, the second in a 12nm CMOS process.

Contact: Rajashi Runton