New method could increase LLM training efficiency
By leveraging idle computing time, researchers can double the speed of model training while preserving accuracy.
New technique could improve the scalability of trapped-ion quantum computers, an essential step toward making them practically useful.
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.
Tess Smidt named to 2025 cohort of AI2050 Early Career Fellows
The honor is announced annually by Schmidt Sciences.
This is your brain without sleep
New research shows attention lapses due to sleep deprivation coincide with a flushing of fluid from the brain — a process that normally occurs during sleep.
Kevin Chen wins IROS Toshio Fukuda Young Professional Award
At MIT, Chen leads his lab with the goal of developing microscale robotic systems that demonstrate insect-like locomotive capabilities in aerial, aquatic and terrestrial settings.
MIT engineers develop a magnetic transistor for more energy-efficient electronics
A new device concept opens the door to compact, high-performance transistors with built-in memory.
New laser “comb” can enable rapid identification of chemicals with extreme precision
The ultrabroadband infrared frequency comb could be used for chemical detection in portable spectrometers or high-resolution remote sensors.
Longtime MIT electrical engineer receives SPIE Frits Zernike Award for Microlithography in recognition of outstanding accomplishments in microlithographic technology.
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.