Engineers Develop an Efficient Process to Make Fuel from Carbon Dioxide
David L. Chandler | MIT News
The approach directly converts the greenhouse gas into formate, a solid fuel that can be stored indefinitely and could be used to heat homes or power industries.
Accelerating AI Tasks While Preserving Data Security
Adam Zewe | MIT News
The SecureLoop search tool efficiently identifies secure designs for hardware that can boost the performance of complex AI tasks, while requiring less energy.
System Combines Light and Electrons to Unlock Faster, Greener Computing
Alex Shipps | MIT CSAIL
“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.
Machine-learning System Based on Light Could Yield More Powerful, Efficient Large Language Models
Elizabeth A. Thomson | Materials Research Laboratory
MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.
MIT Engineers Create an Energy-storing Supercapacitor from Ancient Materials
David L. Chandler | MIT News
Made of cement, carbon black, and water, the device could provide cheap and scalable energy storage for renewable energy sources.
Shivam Kajale of Nano-Cybernetic Biotrek Creates Awareness About the Urgent Need to Develop Environmentally Sustainable AI
Mark Grinstein-Camacho
The impending threat of large-scale computation to the environment often goes unnoticed in our software-orientated world.
A New Chip for Decoding Data Transmissions Demonstrates Record-breaking Energy Efficiency
Adam Zewe | MIT News Office
The chip, which can decipher any encoded signal, could enable lower-cost devices that perform better while requiring less hardware.
Computers that Power Self-driving Cars Could be a Huge Driver of Global Carbon Emissions
Adam Zewe | MIT News Office
Study shows that if autonomous vehicles are widely adopted, hardware efficiency will need to advance rapidly to keep computing-related emissions in check.
Putting a New Spin on Computer Hardware
Adam Zewe | MIT News Office
Luqiao Liu utilizes a quantum property known as electron spin to build low-power, high-performance computer memories and programmable computer chips.
Computing With Chemicals Makes Faster, Leaner AI
Dina Genkina | IEEE Spectrum
Battery-inspired artificial synapses are gaining ground, and analog electrochemical memory (ECRAM) arrays provide a prototype for artificial synapses in AI training.