An artificial intelligence tool that can help detect melanoma
Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer.
Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer.
Sidney Pacific residents empower each other to sustain community togetherness.
Senior Alberto Naveira has found himself and his community as a member of the a cappella group the Chorallaries.
Daniel Hastings and Tracy Gabridge share their experiences as co-chairs of MIT’s Values Statement Committee.
MIT research team finds machine learning techniques offer big advantages over standard experimental and theoretical approaches.
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.
By measuring a person’s movements and poses, smart clothes developed at MIT CSAIL could be used for athletic training, rehabilitation, or health-monitoring for elder-care facilities.
MIT biology professor and pioneering researcher of cancer cell metabolism will succeed longtime director Tyler Jacks.
International study reveals gut bacteria from people in industrialized societies swap genes at much higher rates.
MIT research combines machine learning with nanoparticle design for personalized drug delivery.
An MIT team has created polymers that replicate the structure of mucins, the molecules that give mucus its unique antimicrobial properties.
Graduate engineering and economics programs are No. 1 in the nation; MIT Sloan is No. 5.
A new approach to identifying useful formulations could help solve the degradation issue for these promising new lightweight photovoltaics.
A new framework calculates companies’ beneficial environmental "handprints" as well as their negative footprints, to encourage eco-friendly actions.