More transparency and understanding into machine behaviors
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
Researchers’ algorithm designs soft robots that sense
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
System detects errors when medication is self-administered
Wireless sensing technology could help improve patients’ technique with inhalers and insulin pens.
MIT.nano courses bring hands-on experimentation to virtual participants
Five courses celebrate the nanoscale, highlight technologies in photogrammetry and 360-degree videography.
Faster drug discovery through machine learning
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
Artificial intelligence that more closely mimics the mind
Leveraging years of MIT cognitive science research, Nara Logics incorporates findings about the brain into its AI platform.
Using artificial intelligence to generate 3D holograms in real-time
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.
Algorithm helps artificial intelligence systems dodge “adversarial” inputs
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
Retrofitting MIT’s deep learning “boot camp” for the virtual world
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.
MIT Solve announces 2021 global challenges
New tracks for innovation address antiracist technology in the US, digital inclusion, equitable classrooms, health security and pandemics, and resilient ecosystems.
Fostering ethical thinking in computing
New case studies series examines social, ethical, and policy challenges of present-day computing activities.
Driving on the cutting edge of autonomous vehicle tech
Leveraging research done on campus, student-run MIT Driverless partners with industry collaborators to develop and test autonomous technologies in real-world racing scenarios.
Toward a disease-sniffing device that rivals a dog’s nose
Trained dogs can detect cancer and other diseases by smell. A miniaturized detector can analyze trace molecules to mimic the process.
A language learning system that pays attention — more efficiently than ever before
MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis.
Examining the world through signals and systems
Assistant Professor Cathy Wu aims to help autonomous vehicles fulfill their promise by better understanding how to integrate them into the transportation system.