AI2Allen Institute for AI

AI for the Common Good

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Natural Language Processing
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Computer Vision
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Semantic Scholar
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Incubator
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Applied Science & Technology

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Why AI2?

We're a team of engineers and researchers with diverse backgrounds collaborating to solve some of the toughest problems in AI research.

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Work With Us

AI2 is a non-profit focused on contributing to AI research and engineering efforts intended to benefit the common good. Join us to tackle an extraordinary set of challenges.

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Diversity, Equity, & Inclusion

We are committed to fostering a diverse, inclusive environment within our institute, and to encourage these values in the wider research community.

See how

Natural Language Processing

Machine reasoning, common sense for AI, and language modeling

AllenNLP

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.

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Aristo

The Aristo Project aims to build systems that demonstrate a deep understanding of the world, integrating technologies for reading, learning, reasoning, and explanation.

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Mosaic

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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Applied Science & Technology

Applied AI for climate modeling and wildlife protection

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EarthRanger

EarthRanger is a real-time software solution that aids protected area managers, ecologists, and wildlife biologists in making more informed operational decisions for wildlife conservation.

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Skylight

Skylight helps reduce illegal, unreported, and unregulated (IUU) fishing through technology that provides transparency and actionable intelligence for maritime enforcement.

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Climate Modeling

Our goal is to improve the world’s understanding of climate change, its effects, and what can be done now. Better data and technologies will inform how we mitigate and adapt to global impacts, such as sea level rise, community destruction, and biodiversity loss.

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AllenMLI

The AllenMLI (Machine Learning Impact) Team strives to amplify the promise of machine learning in biodiversity conservation and ocean health by working closely with science partners. We have focused efforts in bioacoustics and computer vision for aerial and underwater imagery.

“Please join us to tackle an extraordinary set of scientific and engineering challenges. Let’s make history together.”
— Oren Etzioni, CEO