MIT Climate and Sustainability Consortium Annual Symposium
Tuesday, October 18, 2022 | 9:00am - 6:30pm ET
Multiple Speakers
Advantages of Near Flash Computing with Arvind
Monday, October 3, 2022
Speaker: Arvind, MIT
TinyML and Efficient Deep Learning: Course 6.S965
Fall 2022 | Tuesdays & Thursdays, 3:30 - 5:00pm ET
Speaker: Song Han, MIT
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.
MIT, Tech Firms Seek to Improve AI’s Energy Efficiency
Emily Bamforth | EDSCOOP
The Massachusetts Institute of Technology is leading a group researching energy efficiency in artificial intelligence, anticipating a moment when advanced systems could suck up power at an unsustainable rate.
Making Quantum Circuits More Robust
Adam Zewe | MIT News Office
Researchers have developed a technique for making quantum computing more resilient to noise, which boosts performance.
Toward a Stronger Defense of Personal Data
Adam Zewe | MIT News Office
MIT Engineers have built a lower-energy chip that can prevent hackers from extracting hidden information from a smart device.
Climate Implications of Computing & Communications
Thursday, March 3 & Friday, March 4, 2022 | 10:00am - 2:00pm ET
Multiple Speakers
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 errors.
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