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Pushing the limits of electronic circuits

November 18, 2021

Ruonan Han seeks to develop next-generation electronic devices by harnessing terahertz waves.

Schematic of three different nano flashlights for the generation of, left to right, focused, wide-spanning, and collimated beams

Nano flashlight could allow future cell phones to detect viruses, more

April 30, 2021

In work that could turn cell phones into sensors capable of detecting viruses and other minuscule objects, MIT researchers have built a powerful nanoscale flashlight on a chip.

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Could lab-grown plant tissue ease the environmental toll of logging and agriculture?

January 28, 2021

MIT researchers have proposed a method to grow plant-based materials, like wood and fiber, and have demonstrated the concept by growing a culture of wood-like cells from zinnia

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Four from MIT are named IEEE Fellows

December 21, 2020

MIT’s members of the 2021 class of IEEE Fellows are, clockwise from top left, Domitilla Del Vecchio, Asuman Ozdaglar, Robert Shin, and Joel Voldman. Among the newly selected

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Discovery suggests new promise for nonsilicon computer transistors

December 11, 2020

MIT researchers have found that an alloy material called InGaAs could be suitable for high-performance computer transistors. If operated at high-frequencies, InGaAs transistors could one day rival silicon.

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Max Shulaker awarded 2021 IEEE Nano Early Career Award

December 9, 2020

EECS Professor Max Shulaker Associate Professor of Electrical Engineering and Computer Science Max Shulaker has received the Early Career Award from the IEEE Nanotechnnology Council. The award will

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Asu Ozdaglar and Joel Voldman appointed to new chairs within EECS

September 16, 2020

L to R, Joel Voldman and Asu Ozdaglar July saw two new chair appointments within the department’s leadership. Please join us in congratulating Asu Ozdaglar and Joel Voldman

Deep learning has driven much of the recent progress in artificial intelligence, but as demand for computation and energy to train ever-larger models increases, many are raising concerns about the financial and environmental costs. To address the problem, researchers at MIT and the MIT-IBM Watson AI Lab are experimenting with ways to make software and hardware more energy efficient, and in some cases, more like the human brain. Image: Niki Hinkle/MIT Spectrum

Shrinking deep learning’s carbon footprint

August 11, 2020

Deep learning has driven much of the recent progress in artificial intelligence, but as demand for computation and energy to train ever-larger models increases, many are raising concerns

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The tenured engineers of 2020

July 28, 2020

Top row, left to right: Thomas Heldt and William Oliver. Bottom row, left to right: , Vivienne Sze, and Caroline Uhler. The School of Engineering has announced that

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Carbon nanotube transistors make the leap from lab to factory floor

June 2, 2020

MIT researchers demonstrated a method to manufacture carbon nanotube transistors in commercial facilities that fabricate silicon-based transistors. This photograph shows Anthony Ratkovich, left, and Mindy D. Bishop, who