Open Source Models & Datasets

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AfriMed-QA: Benchmarking large language models for global health

Afrimed-QA, a collection of contextually relevant datasets for evaluation of LLMs on African health question answering tasks, developed in partnership with organizations across Africa. Large language models (LLMs) have shown potential for medical and health question answering across various health-related tests spanning different formats and sources, such as multiple choice and short answer exam questions […]

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Using AI to identify genetic variants in tumors with DeepSomatic

DeepSomatic is an AI-powered tool that identifies cancer-related mutations in a tumor’s genetic sequence to help pinpoint what’s driving the cancer. Cancer is fundamentally a genetic disease in which the genetic controls on cell division go awry. Many types of cancer exist, and each poses unique challenges as it can have distinct genetic underpinnings. A

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Forecasting the future of forests with AI: From counting losses to predicting risk

We introduce the first deep learning–powered benchmark for proactive deforestation risk forecasting. Nature underpins our climate, our economies, and our very lives. And within nature, forests stand as one of the most powerful pillars — storing carbon, regulating rainfall, mitigating floods, and harboring the majority of the planet’s terrestrial biodiversity. Yet, despite their critical importance, the world

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Separating natural forests from other tree cover with AI for deforestation-free supply chains

Natural Forests of the World 2020 is an AI-powered map that distinguishes natural forests from other tree cover. This critical baseline helps governments, companies, and communities meet deforestation-free goals and protect ecosystems. Forests are vital for our planet as they regulate rainfall, mitigate floods, store and sequester carbon, and help sustain the majority of the planet’s

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