MIT engineers develop a low-cost terahertz camera
The device provides greater sensitivity and speed than previous versions, and could be used for industrial inspection, airport security, and communications.
Download RSS feed: News Articles / In the Media / Audio
The device provides greater sensitivity and speed than previous versions, and could be used for industrial inspection, airport security, and communications.
Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.
By analyzing enzyme activity at the organism, tissue, and cellular scales, new sensors could provide new tools to clinicians and cancer researchers.
A new approach sheds light on the behavior of turbulent structures that can affect the energy generated during fusion reactions, with implications for reactor design.
This machine-learning system can simulate how a listener would hear a sound from any point in a room.
MIT alumnus-founded Metrika has developed a suite of analytics tools giving blockchain communities visibility into their networks.
Yilun Du, a PhD student and MIT CSAIL affiliate, discusses the potential applications of generative art beyond the explosion of images that put the web into creative hysterics.
Professors Arup Chakraborty, Lina Necib, and Ronald Fernando Garcia Ruiz as well as Yuan Cao SM ’16, PhD ’20; Alina Kononov ’14; Elliott H. Lieb ’53; Haocun Yu PhD ’20; and others honored for contributions to physics.
Researchers develop a technique for precisely arranging nanoscale particles on a surface, such as a silicon chip, that doesn’t damage the material.
Fourteen faculty members have been granted tenure in five departments across the MIT School of Engineering.
Rising junior in Course 6-9 was “brave and compassionate” and strove to lift up others.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
A new method uses optics to accelerate machine-learning computations on smart speakers and other low-power connected devices.
Researchers create a method for magnetically programming materials to make cubes that are very picky about what they connect with, enabling more-scalable self-assembly.
Professors Mark Bear and Laura Kiessling ’83, along with Krishna Shenoy SM ’92, PhD ’95, David Tuveson ’87, and Martin Burke are among the newly elected members.