Creating a versatile vaccine to take on Covid-19 in its many guises
Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.
Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.
MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks.
The second annual student-industry conference was held in-person for the first time.
MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.
The long-running programming competition encourages skills and friendships that last a lifetime.
A process that seeks feedback from human specialists proves more effective at optimization than automated systems working alone.
The prize is the top honor within the field of communications technology.
The Advanced Computing Users Survey, sampling sentiments from 120 top-tier universities, national labs, federal agencies, and private firms, finds the decline in America’s advanced computing lead spans many areas.
Senior music lecturer Elena Ruehr turns Charles Babbage and Ada Lovelace, groundbreaking thinkers of modern computing, into crime fighters.
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.