A streamlined approach to determining thermal properties of crystalline solids and alloys
MIT research team finds machine learning techniques offer big advantages over standard experimental and theoretical approaches.
MIT research team finds machine learning techniques offer big advantages over standard experimental and theoretical approaches.
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 research combines machine learning with nanoparticle design for personalized drug delivery.
A new approach to identifying useful formulations could help solve the degradation issue for these promising new lightweight photovoltaics.
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
Leveraging years of MIT cognitive science research, Nara Logics incorporates findings about the brain into its AI platform.
A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more — and it can run on a smartphone.
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.
Language analysis reveals possible reinforcement of race- and income-based achievement gap.
New case studies series examines social, ethical, and policy challenges of present-day computing activities.
Leveraging research done on campus, student-run MIT Driverless partners with industry collaborators to develop and test autonomous technologies in real-world racing scenarios.