AI Transformation in Analog Systems
Wednesday, September 28, 2022 | 12:00 - 1:00pm ET, RLE Room 36-462
Speaker: Wenjie Lu, Analog Devices
TinyML and Efficient Deep Learning: Course 6.S965
Fall 2022 | Tuesdays & Thursdays, 3:30 - 5:00pm ET
Speaker: Song Han, MIT
U.S. Sen. Elizabeth Warren Visits MIT to Celebrate Passage of CHIPS and Science Act
Adam Zewe | MIT News Office
U.S. Senator Elizabeth Warren toured MIT.nano and held a roundtable with university leaders to discuss how the new CHIPS law could advance research and education in the state.
Why Congress Just Joined the Semiconductor Arms Race
Matt Stieb | New York Magazine
MIT professor Jesús del Alamo explains about how semiconductors work and why the CHIPS Act could impact our lives in the coming decade.
The US Throws $52 Billion at Chips—but Needs to Spend It Wisely
Will Knight | Wired
The CHIPS and Science Act wants to jump-start the domestic semiconductor industry, starting with manufacturing.
New Hardware Offers Faster Computation for Artificial Intelligence, with Much Less Energy
Adam Zewe | MIT News Office
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Major Semiconductor Support Bill Passes First Hurdle
Ira Flatow | NPR's Science Friday
Prof. Jesús del Alamo speaks with Ira Flatow of NPR’s Science Friday about the importance of the CHIP Act and the pressing need to invest in semiconductor manufacturing in the U.S.
A Programming Language for Hardware Accelerators
Rachel Gordon | MIT CSAIL
Researchers created Exo, which helps performance engineers transform simple programs that specify what they want to compute into very complex programs that do the same thing as the specification, only much, much faster.
MTL Mini Technical Symposium
Saturday, July 20, 2022 | 9:00am - 12:15pm ET
Multiple Speakers
Quantum Sensor Can Detect Electromagnetic Signals of any Frequency
David L. Chandler | MIT News Office
MIT engineers expand the capabilities of ultrasensitive nanoscale detectors, with potential uses for quantum computing and biological sensing.