4.1 • 11.9K Ratings
🗓️ 25 November 2025
⏱️ 14 minutes
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Scientists estimate that 80 percent of life on Earth is still unknown to humanity. But as global temperatures rise, habitats shrink and food and water sources dry up, we're losing these species faster than we can discover them. AI naturalist Sara Beery reveals how the knowledge to study (and save) the natural world may already exist, buried in millions of images, recordings and observations. We just need to learn how to read them before it's too late.
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| 0:00.0 | You're listening to TED Talks Daily, where we bring you new ideas to spark your curiosity every day. |
| 0:12.1 | I'm your host, Elise Hugh. |
| 0:14.0 | What if we could map every living species on Earth and use that knowledge to protect the planet? |
| 0:19.8 | In her talk, ecologist and AI researchers, |
| 0:22.5 | Sarah Beery shares how she and her team at MIT are building tools that let scientists |
| 0:27.4 | ask questions directly to vast ecological databases, unlocking hidden insights from millions |
| 0:35.0 | of images and recordings. She says AI can become a powerful ally in |
| 0:40.3 | understanding and saving the natural world. Imagine you're a doctor and you're trying to save |
| 0:51.6 | the life of a patient, but you can only see a fifth of their body. |
| 0:57.3 | How are you going to prescribe medicine? |
| 1:00.1 | How are you going to do surgery? |
| 1:02.4 | See, this is exactly the situation we're in with nature across the planet. |
| 1:07.5 | We need to act now to protect ecosystems under threat, |
| 1:11.2 | but there's so much we don't know about life on Earth. |
| 1:16.2 | I'm an AI researcher and an ecologist, |
| 1:19.8 | and as a professor at MIT, |
| 1:21.6 | I lead a research group that develops methods |
| 1:23.9 | to help us learn more about the natural world, |
| 1:27.1 | and I see a future where AI can help exponentially increase our ecological knowledge across |
| 1:33.3 | species and ecosystems. But to get there, we need to change how we use AI in ecology. We need |
| 1:41.3 | methods that are flexible, methods that are interactive, methods that scientists can use to discover knowledge hidden in our data. |
| 1:49.0 | Now, let me tell you why this is so important. |
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