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Largest: Machine Learning 678, Robotics & Autonomous Systems 344, Computer Vision 340.
Every lab has one main field.
Teaching machines to understand images, video, and 3D scenes.
340 labs at 30 universities
Models that read, write, translate, and reason with human language.
251 labs at 30 universities
Learning algorithms, theory, and optimization behind modern AI.
678 labs at 30 universities
Robots and autonomous agents that perceive, plan, and act in the physical world.
344 labs at 30 universities
Software systems, compilers, and chips that train and serve AI efficiently.
224 labs at 30 universities
Applying AI to biology, chemistry, physics, medicine, and other sciences.
304 labs at 30 universities
How people use, trust, and collaborate with AI systems.
134 labs at 27 universities
Extracting patterns and knowledge from large-scale data, graphs, and recommendations.
121 labs at 25 universities
Rendering, simulation, and generative models for visual content.
107 labs at 26 universities
Recognizing, synthesizing, and understanding speech, music, and sound.
69 labs at 26 universities