“We offer another place for knowledge”
After acquiring data science and AI skills from MIT, Jospin Hassan shared them with his community in the Dzaleka Refugee Camp in Malawi and built pathways for talented learners.
After acquiring data science and AI skills from MIT, Jospin Hassan shared them with his community in the Dzaleka Refugee Camp in Malawi and built pathways for talented learners.
Adaptive smart glove from MIT CSAIL researchers can send tactile feedback to teach users new skills, guide robots with more precise manipulation, and help train surgeons and pilots.
The graduate students will aim to commercialize innovations in AI, machine learning, and data science.
Longtime professor helped develop the Department of Mechanical Engineering’s design and manufacturing curriculum, contributed to artificial joints as well as NASA inertial guidance systems.
From robotics to dance, the MIT senior has made it his mission to explore as many new experiences as possible at the Institute.
PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.
A highly respected educator and mentor with a distinguished industry career, Wiesman inspired generations of mechanical engineering students.
A multimodal system uses models trained on language, vision, and action data to help robots develop and execute plans for household, construction, and manufacturing tasks.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
The realistic model could aid the development of better heart implants and shed light on understudied heart disorders.
MIT CSAIL researchers established new connections between combinatorial and continuous optimization, which can find global solutions for complex motion-planning puzzles.
By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
Researchers coaxed a family of generative AI models to work together to solve multistep robot manipulation problems.
Some researchers see formal specifications as a way for autonomous systems to "explain themselves" to humans. But a new study finds that we aren't understanding.
MIT engineers develop a long, curved touch sensor that could enable a robot to grasp and manipulate objects in multiple ways.