Breaking the scaling limits of analog computing
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
Researchers have developed a programmable optical device for high-speed beam steering.
Valued mentor was known for research in intensity perception, hearing-impairment characterization, and aids for the deaf.
Researchers develop a technique for precisely arranging nanoscale particles on a surface, such as a silicon chip, that doesn’t damage the material.
A new method uses optics to accelerate machine-learning computations on smart speakers and other low-power connected devices.
PhD student Alex Greene studies superconducting quantum computing systems while rounding out their busy schedule with water sanitation projects.
The device senses and wirelessly transmits signals related to pulse, sweat, and ultraviolet exposure, without bulky chips or batteries.
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.
A new technique could improve the precision of atomic clocks and of quantum sensors for detecting dark matter or gravitational waves.
Inspired by fireflies, researchers create insect-scale robots that can emit light when they fly, which enables motion tracking and communication.
MIT professor will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist, toward educating clinician-scientists and engineers.
New understanding of metal electrolysis could help optimize production of metals like lithium and iron.
Researchers build a portable desalination unit that generates clear, clean drinking water without the need for filters or high-pressure pumps.
Admired teacher and mentor was a longtime member of the Laboratory for Electromagnetic and Electronic Systems and the High Voltage Research Laboratory, and champion of the VI-A Internship program.
MIT iQuHACK gave teams from across the country time and experience on real quantum computers.