Microsystems Technology Laboratories
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Reducing the carbon footprint of artificial intelligence
MIT system cuts the energy required for training and running neural networks.
April 23, 2020 -
Meet the first undergraduate users of MIT.nano
Micro/nano processing course fabricates devices in MIT.nano’s facilities.
March 25, 2020 -
Cryptographic “tag of everything” could protect the supply chain
Tiny, battery-free ID chip can authenticate nearly any product to help combat losses to counterfeiting.
February 20, 2020 -
MIT graduate students lead conference on microsystems and nanotechnology
Student committee puts together research showcase while balancing coursework, qualifying exams, and extracurriculars.
January 22, 2020 -
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.
October 21, 2019 -
Faster video recognition for the smartphone era
MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.
October 11, 2019 -
MIT engineers build advanced microprocessor out of carbon nanotubes
New approach harnesses the same fabrication processes used for silicon chips, offers key advance toward next-generation computers.
August 28, 2019 -
Ultrathin 3-D-printed films convert energy of one form into another
Low-cost “piezoelectric” films produce voltage, could be used for flexible electronic components and more.
August 28, 2019 -
Microfluidics device helps diagnose sepsis in minutes
When time matters in hospitals, automated system can detect an early biomarker for the potentially life-threatening condition.
July 23, 2019 -
Improving security as artificial intelligence moves to smartphones
Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.
April 23, 2019 -
Four from MIT elected to American Academy of Arts and Sciences for 2019
Prestigious honor society announces more than 200 new members.
April 17, 2019 -
Kicking neural network design automation into high gear
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
March 21, 2019 -
Giving keener “electric eyesight” to autonomous vehicles
On-chip system that detects signals at sub-terahertz wavelengths could help steer driverless cars through fog and dust.
February 14, 2019 -
Converting Wi-Fi signals to electricity with new 2-D materials
Device made from flexible, inexpensive materials could power large-area electronics, wearables, medical devices, and more.
January 28, 2019 -
To guide cancer therapy, device quickly tests drugs on tumor tissue
Inexpensive 3-D-printed microfluidics device could be used to personalize cancer treatment.
December 12, 2018 -
Spotlight on engineering staff
The School of Engineering gives its 2018 Infinite Mile Awards for exceptional service and support.
May 30, 2018 -
Neural networks everywhere
New chip reduces neural networks’ power consumption by up to 95 percent, making them practical for battery-powered devices.
February 13, 2018 -
Energy-efficient encryption for the internet of things
Special-purpose chip reduces power consumption of public-key encryption by 99.75 percent, increases speed 500-fold.
February 12, 2018 -
Three EECS professors join leadership team
Saman Amarasinghe and Joel Voldman are named associate department heads; Nancy Lynch is associate department head for strategic directions, a new post.
January 12, 2018 -
Device makes power conversion more efficient
New design could dramatically cut energy waste in electric vehicles, data centers, and the power grid.
December 6, 2017