MIT’s solar car team wins American Solar Challenge for the second year in a row
The team credits strategy and team building for keeping the lead in a tight race.
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The team credits strategy and team building for keeping the lead in a tight race.
Lincoln Laboratory Supercomputing Center dataset aims to accelerate AI research into managing and optimizing high-performance computing systems.
An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.
Researchers found that an understudied component of computer processors is susceptible to attacks from malicious agents. Then, they developed mitigation mechanisms.
Engineers 3D print materials with networks of sensors directly incorporated.
The MIT researcher and former professor discusses how Covid-19 and the influx of virtual technologies created a new medical ecosystem that needs more synchronized oversight.
Inspired by a fiddler crab eye, scientists developed an amphibious artificial vision system with a panoramic visual field.
Algorithms designed to ensure multiple users share a network fairly can’t prevent some users from hogging all the bandwidth.
Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a human level.
Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Cheap and quick to produce, these digitally manufactured plasma sensors could help scientists predict the weather or study climate change.
Neuroscience professor and Science Hub investigator Ted Adelson explains how simulating the sense of touch with a camera can make robots smarter.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.