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Try the ToolFind out whether published scientific research supports or contradicts claims about COVID-19.
Try the DemoWe're a team of engineers and researchers with diverse backgrounds collaborating to solve some of the toughest problems in AI research.
“In software engineering, there is never one answer to a problem. The best engineers are those who can come up with workable solutions as starting points and then improve them by going back and looking at new data, questioning original assumptions, and listening to ideas from other people.”
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View OpportunitiesOpen Source NLP Platform
Design, evaluate, and contribute new models on our open-source PyTorch-backed NLP platfom, where you can also find state-of-the-art implementations of several important NLP models and tools.
Systems That Read and Reason
The Aristo Project aims to build systems that demonstrate a deep understanding of the world, integrating technologies for reading, learning, reasoning, and explanation.
Common Sense for AI
The Mosaic team seeks to define, develop, and improve common sense for AI — an important, fundamental skill required to go beyond the narrow and brittle AI applications we have today.
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The Perceptual Reasoning and Interaction Research (PRIOR) team seeks to create AI systems that can see, explore, learn, and reason about the world.
Semantic Literature Search
Combining NLP, data mining, and computer vision to create a rich academic search experience that helps scientists discover and understand research papers more efficiently than ever.
Applying AI for Good
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Launching AI-Powered Startups
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At AI2, we are committed to fostering a diverse, inclusive environment within our institute, and to encourage these values in the wider research community.
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