Breaking the Scaling Limits of Analog Computing
Adam Zewe | MIT News Office
MIT researchers have developed a new technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
Deep Learning with Light
Adam Zewe | MIT News Office
A new novel piece of hardware, called a smart transceiver, uses silicon photonics to accelerate machine-learning computations on smart speakers and other low-power connected devices.
3 Questions: Blue Hydrogen and the World’s Energy Systems
Turner Jackson | MIT Energy Initiative
Research Scientist Emre Gençer describes natural gas–based hydrogen production with carbon capture and storage, and the role hydrogen will play in decarbonizing our energy systems.
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.