Student-led conference charts the future of micro- and nanoscale research, reinforces scientific community
19th Microsystems Annual Research Conference reveals the next era of microsystems technologies, along with skiing and a dance party.
19th Microsystems Annual Research Conference reveals the next era of microsystems technologies, along with skiing and a dance party.
A wireless technique enables a super-cold quantum computer to send and receive data without generating too much error-causing heat.
Using lasers, researchers can directly control a property of nuclei called spin, that can encode quantum information.
Located in the new MIT Welcome Center in Building E38, the installation expresses the dynamic, vibrant culture of MIT through the medium of programmable light.
“Squeezing” noise over a broad frequency bandwidth in a quantum system could lead to faster and more accurate quantum measurements.
A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data.
A new tool brings the benefits of AI programming to a much broader class of problems.
With a grant from the Office of Naval Research, MIT researchers aim to design novel high-performance steels, with potential applications including printed aircraft components and ship hulls.
Growing from a strong foundation built at MIT CSAIL and other academic hosts, W3C will continue its mission of developing standards for an open and equitable web.
Passionate about creating educational opportunities in India, PhD student Siddhartha Jayanti recently explored multiprocessor speed limits, in a paper written in the Indian language Telugu.
A new measure can help scientists decide which estimation method to use when modeling a particular data problem.
Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.
“I wouldn’t let the aggressor in the war squash my dreams,” says Ukrainian mathematician and MITx MicroMasters learner Tetiana Herasymova.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
A new experiential learning opportunity challenges undergraduates across the Greater Boston area to apply their AI skills to a range of industry projects.