Learning is a lifelong pursuit for 76-year-old Mexican tech executive Jesus Sotomayor, who recently earned his Professional Certificate in Digital Transformation from MIT Professional Education.
Professor Koroush Shirvan, who recently won a prestigious award from the American Nuclear Society, pursues avenues to lower the costs of nuclear energy.
MIT-trained electrical engineer Jorg Scholvin guides researchers fabricating new technology at MIT.nano.
In class 2.702 (Systems Engineering and Naval Ship Design), naval officers and other graduate students get hands-on experience in project management skills that will be central to their future careers.
Michael Birnbaum has been recognized as Committed to Caring for his wide-reaching support of students and his departmental leadership.
Sara V. Fernandez, Amanda Hu, and Brigette Wang will spend the 2023-24 academic year at Tsinghua University in China studying global affairs.
A new algorithm for automatic assembly of products is accurate, efficient, and generalizable to a wide range of complex real-world assemblies.
New research enables users to search for information without revealing their queries, based on a method that is 30 times faster than comparable prior techniques.
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.