Organizations

Organizations shaping AI

Explore companies, research labs, universities, nonprofits, and public institutions across the AI ecosystem.

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65 organizations · showing 1-24
Academic🇺🇸 Berkeley
139 people

UC Berkeley is a major center for artificial intelligence spanning robotics, computer vision, language, reinforcement learning, AI safety, human-computer interaction, and AI for science and medicine. Its ecosystem includes BAIR and research groups across engineering, computing, statistics, and the social sciences.

Academic🇺🇸 Cambridge
132 people

MIT has shaped artificial intelligence through foundational work in computing, cognitive science, robotics, machine learning, vision, language, and theoretical computer science. Its wider AI ecosystem includes CSAIL and research groups distributed across the institute’s schools, departments, and laboratories.

Academic🇺🇸 Pittsburgh
91 people

Carnegie Mellon has played a foundational role in artificial intelligence through its School of Computer Science, Robotics Institute, and Machine Learning Department. Its research spans robotics, language technologies, computer vision, planning, human-computer interaction, and the theory and practice of machine learning.

Academic🇬🇧 Oxford
80 people

Oxford’s AI research spans machine learning, probabilistic methods, robotics and autonomous systems, scientific applications, safety, ethics, and governance. Its university-wide ecosystem includes work across computer science, engineering, mathematics, statistics, medicine, and the humanities.

Company🇺🇸 Cupertino
55 people

Apple develops machine-learning systems integrated across its devices and services, including on-device and server foundation models for Apple Intelligence. Its work combines Apple silicon, Private Cloud Compute, computer vision, speech and language research, health applications, and privacy-preserving machine learning.

Academic🇨🇳 Beijing
55 people

Tsinghua pairs broad research in machine learning, language, vision, and robotics with institutes that connect foundational AI to industry, healthcare, transportation, and international governance.

Academic🇺🇸 Seattle
49 people

The University of Washington’s AI research spans machine learning, natural language processing, computer vision, robotics, human-centered and responsible AI, and applications in medicine, science, accessibility, and the environment. The Paul G. Allen School is a central hub for this work.

Academic🇺🇸 Princeton
48 people

Princeton combines foundational research on large AI models through Princeton Language and Intelligence with interdisciplinary programs applying AI to invention, health, and the study of natural and artificial minds.

Academic🇨🇦 Toronto
48 people

The University of Toronto has played a central role in modern machine learning and deep learning, with research spanning neural networks, computer vision, language, robotics, and AI applications across science and medicine. It is a founding academic partner of the independent Vector Institute.

Company🇺🇸 Redmond
23 people

Microsoft AI advances Copilot and Microsoft’s other consumer AI products and research, bringing product, engineering, design, and research teams together under CEO Mustafa Suleyman.

Company🇺🇸 Austin
18 people

Electric-vehicle, autonomy, robotics, and energy company led by Elon Musk. Its AI work spans Autopilot/FSD, robotaxi, Optimus, computer vision, simulation, and large-scale training infrastructure.

Academic🇺🇸 United States
16 people

UCLA has been especially influential in probabilistic and causal reasoning, alongside current research in machine learning, language, optimization, and biomedical AI.

Academic🇺🇸 United States
14 people

Private research university in Los Angeles with notable AI, NLP, and computer-vision research, including the Information Sciences Institute.

Academic🇨🇦 Canada
12 people

Public research university in Vancouver with notable machine-learning and computer-vision groups.

Academic🇺🇸 United States
12 people

Public research university in College Park with strong computer-vision and NLP programs.

Academic🇩🇪 Germany
11 people

One of Germany's leading technical universities (TUM), prominent in computer vision, robotics, and machine learning.

Academic🇫🇷 France
10 people

ENS Paris has been an important source of France’s mathematical approach to AI, with influential work in statistical learning, optimization and computer vision. Its interdisciplinary normalesup.ai lab connects foundational methods with climate, health and social research.

Academic🇮🇱 Tel Aviv
9 people

Tel Aviv University is a central node in Israel’s AI ecosystem, with research spanning learning theory, computer vision, language, robotics and cybersecurity. Its AI and Data Science center connects more than 250 affiliated faculty across core methods and applications.

Academic🇺🇸 United States
9 people

Public research university in California with active machine-learning and computer-vision research.

Academic🇨🇳 Hefei, Anhui
9 people

USTC is a major source of Chinese AI talent with research spanning computer vision, multimodal models, brain-inspired intelligence and robotics. Its new general-AI institute brings together work on world models, embodied systems and AI for scientific discovery.

Academic🇹🇼 Taipei
8 people

National Taiwan University is a leading source of computing and engineering talent in Taiwan’s technology ecosystem. Its AI research spans machine learning, computer vision, language, robotics and the semiconductor systems that underpin modern computing.

Company🇺🇸 United States
7 people

Software company behind Photoshop and Creative Cloud; its research lab works on computer vision, graphics, and generative imaging.

Academic🇺🇸 United States
7 people

UC Irvine is home to the UCI Machine Learning Repository, created in 1987 and used for decades as a standard source of datasets for teaching and testing algorithms. That practical resource complements university research across machine learning, computer vision and AI applications.

Academic🇩🇪 Freiburg
7 people

Freiburg has produced influential work in robotics and automated machine learning. Its researchers helped establish neural architecture search—methods that automatically design neural networks—and have advanced robot navigation, computer vision and practical tools for selecting strong models.