Lincoln Lab Senior Scientist Vijay Gadepally speaks with Washington Post reporter Nicolas Rivero about ways to make AI more sustainable. “Whatever we do, energy usage is likely going to go up,” says Gadepally. “That train has left the station.”
Researchers at MIT have developed “Clio,” a new technique that “enables robots to make intuitive, task-relevant decisions,” reports Jennifer Kite-Powell for Forbes. The team’s new approach allows “a robot to quickly map a scene and identify the items they need to complete a given set of tasks,” writes Kite-Powell.
Researchers at MIT have developed a new method that “enables robots to intuitively identify relevant areas of a scene based on specific tasks,” reports Baba Tamim for Interesting Engineering. “The tech adopts a distinctive strategy to make robots effective and efficient at sorting a cluttered environment, such as finding a specific brand of mustard on a messy kitchen counter,” explains Tamim.
MIT researchers have developed “a new type of reconfigurable masonry using 3D-printed recycled glass,” reports Srishti Gupta for Interesting Engineering. “The team has developed robust, multilayered glass bricks shaped like figure eights,” explains Gupta. “These bricks are designed to interlock seamlessly, similar to LEGO pieces, making them versatile and easy to assemble.”
Designboom reporter Matthew Burgos spotlights how MIT engineers “3D printed recycled glass and produced robust LEGO-like bricks for buildings and facades.” The researchers found that “in mechanical testing, a single 3D printed recycled glass brick can withstand pressures similar to those of a concrete block,” Burgos explains. “This means that the material can be just as robust as concrete, making it ideal for construction.”
Researchers at MIT have developed “3D-printed glass blocks shaped like a figure eight that snap together like LEGOs,” reports Brian Heater for TechCrunch. “The team points to glass’ optical properties and its ‘infinite recyclability’ as reasons for turning to the material,” writes Heater.
Writing for Fast Company, Moshe Tanach highlights how researchers from the MIT Lincoln Laboratory Supercomputing Center are developing new technologies to reduce AI energy costs, such as power-capping hardware and tools that can halt AI training.
Melissa Choi, who has served as assistant director of MIT Lincoln Laboratory since 2019 and has decades of experience working across the lab’s different technical areas, has been named the next director of Lincoln Laboratory, reports Isabel Tehan for the Boston Business Journal. “Under Choi’s leadership, the lab will continue to focus on long-term development of defense systems,” writes Tehan, “as well as quick-moving prototyping, both with the goal of protecting the U.S. from advanced threats.”
Science reporter Paul Voosen spotlights Tropics “a four-CubeSat mission launched by NASA last year” and led by Lincoln Laboratory Fellow William (Bill) Blackwell. The mission has “yielded unprecedented observations of the evolution of hurricanes cores,” writes Voosen.
Boston Globe reporter Hiawatha Bray profiles Merlin, a startup aviation company working with researchers from MIT’s Lincoln Lab, the Federal Aviation Administration, and the US Air Force to test systems that could be used to help control a plane’s speed, altitude, and direction of flight. “Merlin has begun working with MIT’s Lincoln Lab to deploy technology that would let planes automatically avoid midair collisions,” Bray explains.
MIT researchers have found that a textured surface, designed like a shark riblet, can improve the towed sonar arrays (TSAs) that are "vital for marine vessels engaged in underwater security or exploration projects," reports Andrew Paul for Popular Science. “Utilizing computational modeling, researchers tested various riblet shapes and patterns interacting with simulated water environments,” explains Paul. “From calm currents to the more commonly unpredictable flows seen in oceans, the team observed how smooth, triangular, trapezoidal, and scalloped riblets might affect fluid dynamics and acoustics.”
President Biden has awarded Prof. Emeritus Subra Suresh ScD '81, the former dean of the MIT School of Engineering, the National Medal of Science for his “pioneering research across engineering, physical sciences, and life sciences,” reports Alexa Gagosz for The Boston Globe. Prof. James Fujimoto '79, SM '81, PhD '84, research affiliate Eric Swanson SM '84, and David Huang '85, SM '89, PhD '93 were awarded the National Medal of Technology and Innovation, “the nation’s highest award for technical achievement.”
STAT reporter Annalisa Merelli writes that the 2023 Lasker Award has been given to Prof. James Fujimoto, research affiliate Eric Swanson SM ’84 and David Huang PhD ’93 for their work advancing the diagnosis of eye disease. Fujimoto, Swanson and Huang developed “optical coherence tomography (OCT) — the first noninvasive technology allowing doctors to see high-resolution images of the retina.”
Prof. James Fujimoto, research affiliate Eric Swanson SM ’84 and David Huang PhD ’93 have won a Lasker Award for their work inventing optical coherence tomography, which can “detect conditions like macular degeneration and diabetic retinopathy earlier than previous methods, preventing blindness,” reports Noah Weiland and Cade Metz for The New York Times. “O.C.T. now is commonly used in ophthalmology offices, where the patient simply rests a chin and forehead against an instrument for a brief scan,” write Weiland and Metz. “The method, invented in 1991, offers a staggering amount of detail about the retina.”
Prof. James Fujimoto, research affiliate Eric Swanson SM ’84 and David Huang PhD ’93 have been honored with the Lasker Award for their work for their work inventing “imaging technology that revolutionized how ophthalmologists diagnose diseases of the eye," reports Jonathan Saltzman for The Boston Globe. The scientists were recognized for developing “optical coherence tomography, or OCT, the first technology that enabled doctors to see a two- and three-dimensional cross-sectional image of the retina,” Saltzman explains. “This painless scan takes less than 10 minutes, and is now the standard of care for diagnosing retina diseases.”