Reducing false positives in credit card fraud detection
Model extracts granular behavioral patterns from transaction data to more accurately flag suspicious activity.
Model extracts granular behavioral patterns from transaction data to more accurately flag suspicious activity.
McGovern Institute scientist is recognized with award for outstanding and creative achievements made in the life and medical sciences.
CSAIL system could help athletes, dancers, and others better analyze how they move.
Agarwal is recognized for making education more accessible to people around the world, via edX open-source online platform.
Model learns to pick out objects within an image, using spoken descriptions.
National Academies report cites need for strong leadership and cultural change; will be focus of upcoming MIT panel discussion.
PhD student Zijay Tang is developing a living material that can sense and filter water contaminants.
Research team shows the power of proteomics to discover new drug targets and help develop therapeutic strategies with fewer long-term side effects.
Chemical engineering graduate student was named a “machine-learning maestro” by the magazine.
Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.
Despite a single, unchanging food source in the form of a liquid meal replacement shake, bacteria in the gut are unpredictable, researchers find.
MIT alumnus and chemical engineering faculty member was a pioneering director of venture capital firms.
Three MIT postdocs earn competitive Howard Hughes Medical Institute fellowships that support diversity in the sciences.
Inventor of CAPTCHA/reCAPTCHA and Duolingo recognized for commitment to invention, education, and mentorship.
Tiny probes could be useful for monitoring patients with Parkinson’s and other diseases.