Fireside chat with Don Eigler wraps up MIT.nano “Perspectives in Nanotechnology” seminars
Series featured five experts who played seminal roles in understanding the nanoscale.
Series featured five experts who played seminal roles in understanding the nanoscale.
MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.
New approach harnesses the same fabrication processes used for silicon chips, offers key advance toward next-generation computers.
Low-cost “piezoelectric” films produce voltage, could be used for flexible electronic components and more.
When time matters in hospitals, automated system can detect an early biomarker for the potentially life-threatening condition.
Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.
Prestigious honor society announces more than 200 new members.
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
On-chip system that detects signals at sub-terahertz wavelengths could help steer driverless cars through fog and dust.
Device made from flexible, inexpensive materials could power large-area electronics, wearables, medical devices, and more.
Inexpensive 3-D-printed microfluidics device could be used to personalize cancer treatment.
Process that modifies semiconductor material atom by atom could enable higher-performance electronics.
The School of Engineering gives its 2018 Infinite Mile Awards for exceptional service and support.
New chip reduces neural networks’ power consumption by up to 95 percent, making them practical for battery-powered devices.
Special-purpose chip reduces power consumption of public-key encryption by 99.75 percent, increases speed 500-fold.