Artificially intelligent neural interfaces: DARPA funds Emory/GT/Northwestern research

Biomedical engineers at Emory and Georgia Tech, working with colleagues at Northwestern University, were awarded a $1 million grant from the Defense Advanced Research Projects Agency (DARPA).

Chethan Pandarinath, PhD and Lee Miller, PhD are combining artificial intelligence-based approaches that their laboratories have developed that enable the decoding of complex signals from the nervous system controlling movement. The scientists plan to develop algorithms that periodically and automatically recalibrate so that nervous system “intent” can be decoded smoothly and without interruption. The two-phase grant begins with $400,000 for six months, and can advance to a total of $1 million over 18 months.

Pandarinath and Miller’s project is being funded under DARPA’s $2 billion AI Next campaign, which includes a “high-risk, high-payoff” Artificial Intelligence Exploration program.

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Chethan Pandarinath, PhD
Chethan Pandarinath, PhD
Associate Professor of Biomedical Engineering and Neurosurgery, Emory & GA Tech

Brain-computer interfaces, neural dynamics, AI.