Building a community for statistics and data science at MIT and beyond
Third annual MIT Statistics and Data Science conference gathers a growing interdisciplinary community of researchers and practitioners.
Third annual MIT Statistics and Data Science conference gathers a growing interdisciplinary community of researchers and practitioners.
New method quickly detects instances when neural networks make mistakes they shouldn’t.
Collaboration between MIT architect and chemical engineer could be at the center of new sustainable infrastructure for buildings.
Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance.
A prolific inventor and jet-engine designer, Wilson was passionate about recumbent bicycles and was an early advocate for a carbon fee.
In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.
Research Experience for Undergraduates program participants bring diverse interests in sustainable energy, polymers, and physics.
Successfully launched project aims to understand why some injuries result in post-traumatic osteoarthritis while others heal and recover.
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
Convergence research at MIT and beyond seeks new solutions for global challenges.
MIT CSAIL project shows the neural nets we typically train contain smaller “subnetworks” that can learn just as well, and often faster.
Study investigates capillary-induced deformations in cement’s porous structure.
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.
In MIT D-Lab class 2.729 (Design for Scale), MIT students devise ways to manufacture products to reach as many people as possible.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.