BAIR
E812090
BAIR is a leading artificial intelligence research lab at the University of California, Berkeley, known for influential work across machine learning, robotics, computer vision, and AI safety.
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
academic organization
ⓘ
artificial intelligence research lab ⓘ research group ⓘ |
| academicDiscipline |
computer science
ⓘ
electrical engineering ⓘ |
| acronym | BAIR NERFINISHED ⓘ |
| affiliation | University of California, Berkeley NERFINISHED ⓘ |
| basedIn | Berkeley, California NERFINISHED ⓘ |
| collaboratesWith | industry partners in technology and AI ⓘ |
| country | United States of America ⓘ |
| fieldOfWork |
AI safety
ⓘ
artificial intelligence ⓘ computer vision ⓘ deep learning ⓘ human-robot interaction ⓘ machine learning ⓘ natural language processing ⓘ reinforcement learning ⓘ representation learning ⓘ robot learning ⓘ robotics ⓘ |
| fullName | Berkeley Artificial Intelligence Research Lab NERFINISHED ⓘ |
| hostedBy | University of California, Berkeley NERFINISHED ⓘ |
| knownFor |
benchmark datasets and open-source code releases
ⓘ
collaborations with industry AI labs ⓘ domain adaptation and transfer learning ⓘ foundational research in deep reinforcement learning ⓘ interpretable and robust machine learning ⓘ multi-agent reinforcement learning research ⓘ research in model-based reinforcement learning ⓘ robot learning from demonstration ⓘ sim-to-real transfer in robotics ⓘ unsupervised and self-supervised learning methods ⓘ vision-based robotic manipulation ⓘ |
| languageOfWork | English ⓘ |
| mission |
to advance the state of the art in artificial intelligence research
ⓘ
to develop AI systems that are reliable, safe, and beneficial ⓘ |
| partOf |
UC Berkeley College of Engineering
NERFINISHED
ⓘ
UC Berkeley Department of Electrical Engineering and Computer Sciences NERFINISHED ⓘ |
| produces |
datasets for AI research
ⓘ
open-source software ⓘ research papers ⓘ |
| researchArea |
causal inference in machine learning
ⓘ
embodied AI ⓘ fairness and accountability in AI ⓘ large-scale distributed training ⓘ multimodal learning ⓘ robot perception and control ⓘ safe exploration in reinforcement learning ⓘ scalable machine learning algorithms ⓘ |
| website | https://bair.berkeley.edu ⓘ |
Referenced by (1)
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