Four new teams have joined AI2, greatly expanding our opportunities for impact – learn more about their exciting work in applied conservation and environmental science.Go
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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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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.View open jobs
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
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.
The Aristo Project aims to build systems that demonstrate a deep understanding of the world, integrating technologies for reading, learning, reasoning, and explanation.
Applied Science & Technology
Applied AI for climate modeling and wildlife protection
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.Learn more
Skylight helps reduce illegal, unreported, and unregulated (IUU) fishing through technology that provides transparency and actionable intelligence for maritime enforcement.Learn more
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.Learn more
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.