Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
A new study shows how small-scale actions could improve air quality and health outcomes.
Whether building robots or helping to lead the National Society of Black Engineers, senior Austen Roberson is thinking about the social implications of his field.
New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
MIT undergraduate researchers Helena Merker, Harry Heiberger, and Linh Nguyen, and PhD student Tongtong Liu, exploit machine-learning techniques to determine the magnetic structure of materials.
Battery power from electric vehicles to the grid could open a fast lane to a net-zero future.
Researchers have developed a programmable optical device for high-speed beam steering.
Recent mechanical engineering alumna Emily Satterfield ’22 pursues passions that might seem unrelated but “actually go hand-in-hand.”