Microsystems Technology Laboratories

Three 3D-printed pumps next to a dime for size comparison

3D printing a miniature magnetic pump

Design is the first demonstration of a magnetic, multi-material pump 3D printed all in one piece.

September 9, 2020

MIT researchers have developed a new automated AI system with improved computational efficiency and a much smaller carbon footprint. The researchers’ system trains one large neural network comprising many pretrained subnetworks of different sizes that can be tailored to diverse hardware platforms without retraining.

Reducing the carbon footprint of artificial intelligence

MIT system cuts the energy required for training and running neural networks.

April 23, 2020

Students from the first academic course to use MIT.nano's facilities pose in the facility's soft lithograpy space with technical instructor Scott Poesse (left).

Meet the first undergraduate users of MIT.nano

Micro/nano processing course fabricates devices in MIT.nano’s facilities.

March 25, 2020

Left to right: MARC committee members and MIT graduate students Navid Abedzadeh, Mayuran Saravanapavanantham, Haozhe Wang, Elaine McVay, Qingyun Xie, Jatin Patil, Jessica Boles, Rachel Yang, and Rishabh Mittal.

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

Roger Howe, William E. Ayer Professor of Engineering, Stanford University (center), with Farnaz Niroui, assistant professor of electrical engineering and computer science and Perspectives in Nanotechnology series organizer (left), and Vladimir Bulović, faculty director of MIT.nano and Fariborz Maseeh Chair in Emerging Technology (right).

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

A new technique for training video recognition models is up to three times faster than current state-of-the-art methods while improving runtime performance on mobile devices. The work was recently highlighted by Dario Gil (above), director of IBM Research, at the MIT-IBM Watson AI Lab’s AI Research Week in Cambridge, Massachusetts.

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

A close up of a modern microprocessor built from carbon nanotube field-effect transistors.

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

MIT researchers have 3-D printed ultrathin ceramic films that convert energy from one form into another for flexible electronics and biosensors. Here, they’ve printed the piezoelectric films into a pattern spelling out “MIT.”

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

An MIT-invented microfluidics device could help doctors diagnose sepsis, a leading cause of death in U.S. hospitals, by automatically detecting elevated levels of a sepsis biomarker in about 25 minutes, using less than a finger prick of blood.

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

MIT researchers have developed an efficient algorithm that could provide a “push-button” solution for automatically designing fast-running neural networks on specific hardware.

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

MIT researchers have developed a chip that leverages sub-terahertz wavelengths for object recognition, which could be combined with light-based image sensors to help steer driverless cars through fog.

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

Researchers from MIT and elsewhere have designed the first fully flexible, battery-free “rectenna” — a device that converts energy from Wi-Fi signals into electricity — that could be used to power flexible and wearable electronics, medical devices, and sensors for the “internet of things.”

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

MIT researchers have 3-D printed a novel microfluidic device that simulates cancer treatments on biopsied tumor tissue — and keeps the tissue alive for days — so clinicians can better examine how individual patients will respond to different therapeutics.

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

MIT News | Massachusetts Institute of Technology

Browse By

Topics

Departments

Centers, Labs, & Programs

Schools

Topic