Kim Martineau | MIT Quest for Intelligence
Vivienne Sze part of the pioneering team that won an Engineering Emmy Award for co-designing energy-efficient circuits with energy-efficient algorithms and developing the video compression standards still in use today, has set her sights on a new milestone: bringing artificial intelligence applications to smartphones and tiny robots. Now an associate professor in MIT’s Department of Electrical Engineering and Computer Science, Sze plans to hit this new milestone through designing more-efficient deep neural networks to process video, and more-efficient hardware to run those applications.
Complete article from MIT News.
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MIT Engineers Advance Toward a Fault-tolerant Quantum Computer
Adam Zewe | MIT News
Researchers achieved a type of coupling between artificial atoms and photons that could enable readout and processing of quantum information in a few nanoseconds.
The Road to Gate-All-Around CMOS
Monday, April 14, 2025 | 10:00 AM to 11:00 AM
In-Person
Haus Room (36-428)
50 Vassar Street Cambridge, MA
2025 MIT AI Hardware Program Annual Symposium
Monday, March 31, 2025 | 10:00 AM - 3:30 PM ET
Multiple Speakers