Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
Study uncovers overlooked environmental impacts of internet use by estimating associated carbon, land, and water footprints.
MIT serves as a laboratory for a multifaceted approach to address the Institute’s own contributions to climate change.
MIT researchers develop novel EV emissions model to quantify importance of vehicle charging patterns and impact of ambient temperature on EV emissions levels.
In a new realm of materials, PhD student Thanh Nguyen uses neutrons to hunt for exotic properties that could power real-world applications.
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
Study finds that in some locations, lightweight gas-powered cars could have a bigger emissions-reducing impact than electric ones.
Process developed at MIT could turn concentrated brine into useful chemicals, making desalination more efficient.
Method for modeling neural networks’ power consumption could help make the systems portable.
Sanjay Sarma has focused his research on new uses for RFID and security for the internet of things.
Technology will give Nigerian households greater control over energy consumption.
MIT researchers are helping architects optimize both design and energy efficiency.
Researchers find no evidence of an overall reduction in the world’s consumption of materials.
Researchers develop a new way to create more clean water with less energy, thanks to clever timing.
“Morphing” wing could enable more efficient plane manufacturing and flight.