Giving robots social skills
A new machine-learning system helps robots understand and perform certain social interactions.
Hunting a “Jekyll-and-Hyde” molecule
A screening method developed by MIT researchers targets hydrogen peroxide in the search for new cancer therapeutics.
Mentorship programs for underrepresented applicants strive to increase graduate diversity at MIT
Graduate application assistance programs pair applicants with student and alumni mentors.
Diagnosing cancer with a barcode-inspired test
Dana Al-Sulaiman, a recent postdoc with MIT’s Ibn Khaldun Fellowship for Saudi Arabian Women, has developed a cheap, minimally invasive diagnostic test for cancer.
Toward speech recognition for uncommon spoken languages
Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.
MIT collaborates with Biogen on three-year, $7 million initiative to address climate, health, and equity
Biogen’s support is part of the biotechnology company’s Healthy Climate, Healthy Lives Initiative.
3 Questions: Blending computing with other disciplines at MIT
The Common Ground for Computing Education is facilitating collaborations to develop new classes for students to pursue computational knowledge within the context of their fields of interest.
Avoiding shortcut solutions in artificial intelligence
A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.
Differences in T cells’ functional states determine resistance to cancer therapy
Researchers decipher when and why immune cells fail to respond to immunotherapy, and suggest that T cells need a different kind of prodding in order to re-engage the immune response.
Taming the data deluge
A National Science Foundation-funded team will use artificial intelligence to speed up discoveries in physics, astronomy, and neuroscience.