Research
Labs
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Areas
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Computation lies at the heart of understanding all systems. CSAIL studies this vast, compelling field to unlock the secrets of intelligence, extend the power of machines, and explore human/machine interactions.
CSAIL web site -
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MIT mechanical engineers, working alongside a trio of EECS graduate students from Professor Daniela Rus’s group in CSAIL, have developed technologies to help hospitals around the world provide life-saving oxygen to patients with Covid-19 and other respiratory illnesses. -
Animators spend hours adding textures to objects. A new machine-learning system simplifies the process. -
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning. -
Neuroscientists find that interpreting code activates a general-purpose brain network, but not language-processing centers. -
AAAI Fellows are selected in recognition of their significant and extended contributions to the field (contributions which typically span a decade or more), including technical results, publications, patent awards, and contributions to group efforts. -
A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing. -
MIT researchers’ new system optimizes the shape of robots for traversing various terrain types. -
New system enables realistic variations in glossiness across a 3D-printed surface. The advance could aid fine art reproduction and the design of prosthetics. -
MIT study shows the power of adaptive training tools, like a basketball hoop that shrinks and raises as you make shots. -
In the announcement made by the Infosys Science Foundation, Balakrishnan was lauded for his groundbreaking work on computer networking and mobile and wireless systems, including the development of mobile telematics to improve driver behavior and road safety. -
Technologies like robots and artificial intelligence could partner with humans, not oust them from work, research and business leaders say. -
Choucri, Drennan, Fisher, Gershenfeld, Li, and Rus are recognized for their efforts to advance science. -
Intelenz co-founder Renzo Zagni credits MIT for the know-how he needed to launch his company and grow its AI-enabled offerings. -
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics. -
MorphSensor lets users digitally model an object’s form and electronic function in one integrated space. -
MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management. -
Five years in the making, MIT’s autonomous floating vessels get a size upgrade and learn a new way to communicate aboard the waters. -
Tulle-like DefeXtiles can be 3D printed with no custom software or hardware. -
Artificial intelligence (AI) can become more efficient and reliable if it is made to mimic biological models. New approaches in AI research are hugely successful in experiments. -
Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases. -
MIT-led team uses AI and machine learning to explore fundamental forces. -
MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis. -
Realtime Robotics has created a controller that helps robots safely move around on the fly. -
This summer has seen three new career development chairs appointed within the EECS faculty: Kevin Chen, Jonathan Ragan-Kelley, and Mengjia Yan. Meet the new chairs here.
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