Research Laboratory of Electronics

TechCrunch reporter Taylor Hatmaker writes that MIT researchers will led a new NSF-funded research institute focused on AI and physics.

Researchers from MIT's Laboratory for Nuclear Science will lead a new research institute focused on advancing knowledge of physics and AI, reports Jared Council for The Wall Street Journal. The new research institute is part of an effort “designed to ensure the U.S. remains globally competitive in AI and quantum technologies.”

A sensor developed by MIT researchers could make diagnosing sepsis easier, quicker and more affordable, reports Darrell Etherington for TechCrunch. Etherington explains that the sensor, which “employs microfluidics to detect the presence of key proteins in the blood,” could have “a huge potential impact, as sepsis is one of the leading causes of death in hospitals.”

MIT researchers have developed artificial muscles that can stretch more than 1,000 percent of their size and lift more than 650 times their weight, reports Sid Perkins for Scientific American. The new fibers could have applications in robotics and prosthetic devices, Perkins explains, and “work more like real muscles: they do work by pulling on or lifting objects.”

MIT researchers have developed a new method for potentially increasing solar cell efficiency beyond the theoretical limit, reports Daniel Oberhaus for Wired. “What’s cool here is that this is a fundamentally different approach from traditional photovoltaics,” says Joseph Berry of the National Renewable Energy Laboratory.

Prof. Muriel Médard speaks with WCAI’s Living Lab Radio about the potential impact of 5G technologies on a number of industries. “If one can count on reliable services that allow remote operation of certain aspects of our work lives,” Médard explains, “that's where you change the way people work quite a bit.”

Technology Review reporter Will Knight spotlights how MIT researchers have developed a new chip that is many times more efficient than silicon chips and could help bring AI to a multitude of devices where power is limited. “We need new hardware because Moore’s law has slowed down,” explains Prof. Vivienne Sze.

MIT researchers have found that a small gelatinous structure, called the tectorial membrane, gives the human ear its extraordinary ability to detect faint sounds, reports the Xinhua news agency. The findings “could help devise ways to treat hearing impairment via medical interventions that alter the pores or the properties of the fluid in the membrane.”

CNBC reporter Andrew Zaleski writes that MIT researchers have developed a neuromorphic chip design that could help advance the development of computers that operate like humans. The design could “lead to processors capable of carrying out machine learning tasks with dramatically lower energy demands,” Zaleski explains. 

Engadget reporter Jon Fingas writes that MIT researchers have developed a tiny computer chip small enough to fit on a honeybee-sized drone that can help the drone navigate. The technology could eventually be applied to, “smart pills that navigate to where they're needed, or virtually any vehicle that may need to last for a very long time on one battery charge.”

MIT researchers have designed a new chip that could advance the development of computers that operate like the human brain, reports James Vincent for The Verge. The development could, “lead to processors that run machine learning tasks with lower energy demands — up to 1,000 times less. This would enable us to give more devices AI abilities like voice and image recognition.”

Newsweek reporter Katherine Hignett writes that MIT and Harvard researchers have successfully manipulated individual atoms using lasers in one of the largest quantum computer simulations. Hignett writes that, “their technology could help make superfast quantum computers a working reality.”

Boston Globe reporter Alyssa Meyers writes that researchers from MIT and Harvard have demonstrated one of the largest quantum simulators that can trap individual atoms in laser beams. Prof. Vladan Vuletić explains that it is, “a major advance is to be able to align and arrange individual atoms so we can hold on to them and track them.”

Boston.com reporter Erica Yee highlights several Boston-area residents who were named to Forbes’ “30 under 30” list, including MIT postdoctoral associate Yichen Shen, who was honored for his work with nanophotonic breakthroughs, and undergraduate Jenny Xu, who was recognized for her work creating popular mobile games.

Using video to processes shadows, MIT researchers have developed an algorithm that can see around corners, writes Alyssa Meyers for The Boston Globe. “When you first think about this, you might think it’s crazy or impossible, but we’ve shown that it’s not if you can understand the physics of how light propagates,” says lead author and MIT graduate Katie Bouman.