AI systems are starting to get really useful, but they use far too much energy to be served to everyone on the planet. We are going to need to make computers a lot more efficient and produce way more energy than today. Trevor McCourt (BSc, MME, '20), CTO and co-founder of leading chipmaker Extropic, will explore how radically efficient computing can transform the trajectory of AI’s energy demands. The program also includes startup lightning talks, a feature presentation from near-zero energy chip maker Vaire, and a networking reception.
Michael Frank is a senior scientist at Vaire who first got into the physics of computing and reversible computing at MIT in the 90s, first in a DNA computing context and later developing proof-of-concept demo chips using adiabatic CMOS. He continued his related research at the University of Florida, Florida State, and Sandia National Laboratories. He also has research interests in artificial intelligence and distributed systems.
Hugh is a scientist at Vaire, coming to reversible computing from an academic background in Physics, where he studied computational nuclear structure, and Computer Science, where he studied DNA nanotechnology. Besides reversible hardware, he is interested in game design, music, and fantasy and science fiction.
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