Helping computer vision and language models understand what they see
Researchers use synthetic data to improve a model’s ability to grasp conceptual information, which could enhance automatic captioning and question-answering systems.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
System combines light and electrons to unlock faster, greener computing
“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.
MIT researchers win grants to develop and test 14 innovative ideas to improve education
The Jameel World Education Lab awards more than $900K in Education Innovation Grants to researchers across MIT.
A system to keep cloud-based gamers in sync
By synchronizing media streams transmitted from the cloud to two devices, researchers could improve cloud gaming and AR/VR applications.
How to help high schoolers prepare for the rise of artificial intelligence
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
AI helps robots manipulate objects with their whole bodies
With a new technique, a robot can reason efficiently about moving objects using more than just its fingertips.
MIT engineers use kirigami to make ultrastrong, lightweight structures
Produced with techniques borrowed from Japanese paper-cutting, the strong metal lattices are lighter than cork and have customizable mechanical properties.
M'Care and MIT students join forces to improve child health in Nigeria
The effort aims to transform micronutrient dosing to children by harnessing the power of data.
Artificial intelligence for augmentation and productivity
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
MIT researchers combine deep learning and physics to fix motion-corrupted MRI scans
The challenge involves more than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.
How machine-learning models can amplify inequities in medical diagnosis and treatment
MIT researchers investigate the causes of health care disparities among underrepresented groups.
Invisible tagging system enhances 3D object tracking
Developed by MIT researchers, BrightMarkers are invisible fluorescent tags embedded in physical objects to enhance motion tracking, virtual reality, and object detection.
AI model can help determine where a patient’s cancer arose
Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.
New method simplifies the construction process for complex materials
With a new, user-friendly interface, researchers can quickly design many cellular metamaterial structures that have unique mechanical properties.
Using AI to protect against AI image manipulation
“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.