February 3, 2022
Semiconductor Technology Translation & Hard-Tech Startups
Tuesday, February 15, 2022 | Full Day Organized by State University of New York, Massachusetts Institute of Technology, and Rensselaer Polytechnic Institute
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January 27, 2022
Tiny Materials Lead to a Big Advance in Quantum Computing
Adam Zewe | MIT News Office MIT researchers are able to shrink the footprint of a qubit by two orders of magnitude without sacrificing performance.
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January 27, 2022
How MIT’s Muriel Medard Pioneered the Universal Decoder
Kathy Pretz | IEEE Spectrum Researchers developed a new algorithm and created an efficient silicon chip that eliminates the need for custom decoding hardware to spot signal…
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January 24, 2022
A New Language for Quantum Computing
Rachel Gordon | MIT CSAIL Twist is an MIT-developed programming language that can describe and verify which pieces of data are entangled to prevent bugs and properly compute in a…
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January 20, 2022
Education and Workforce Development for the U.S. Microelectronics Industry
Thursday, February 3, 2022 | 9:45am - 5:00pm EST Organized by State University of New York, Massachusetts Institute of Technology, and Rensselaer Polytechnic Institute
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January 19, 2022
Reasserting U.S. Leadership in Microelectronics
Adam Zewe | MIT News Office MIT researchers lay out a strategy for how universities can help the U.S. regain its place as a semiconductor superpower.
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January 17, 2022
TinyML is Bringing Neural Networks to Small Microcontrollers
Ben Dickson | TechTalks Tiny machine learning, or TinyML, suited for devices with limited memory and processing power, and in which internet connectivity is either non-present or…
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January 14, 2022
Clean Room as Classroom
Amanda Stoll | MIT.nano MIT undergraduates are using labs at MIT.nano to tinker at the nanoscale, exploring spectrometry, nanomaterial synthesis, photovoltaics, sensor…
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December 9, 2021
NAAS: Neural Accelerator Architecture Search
Thursday, December 9, 2021 | 1:30pm - 3:00pm PT Speakers: Yujun Lin and Song Han, MIT
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December 7, 2021
What’s Next in AI | Enabling the Future of Computing through Efficient AI
Tuesday, December 7, 2021 | 10:00am-10:30am ET Speaker: Dr. David Cox, MIT-IBM Watson AI Lab
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