As Arctic Sea Ice Breaks Up, AI Is Starting to Predict Where the Ice Will Go
Science Talk
Scientific American
4.2 • 644 Ratings
🗓️ 16 October 2023
⏱️ 9 minutes
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| 0:00.0 | Understanding the human body is a team effort. That's where the Yachtel group comes in. |
| 0:05.8 | Researchers at Yachtolt have been delving into the secrets of probiotics for 90 years. |
| 0:11.0 | Yacold also partners with nature portfolio to advance gut microbiome science through the global grants for gut health, an investigator-led research program. |
| 0:19.6 | To learn more about Yachtolt, visit yawcult.co. |
| 0:22.7 | .jp. That's Y-A-K-U-L-T.C-O.JP. When it comes to a guide for your gut, count on Yacult. |
| 0:37.0 | In October 2019, an international team of scientists on board an icebreaker |
| 0:42.9 | intentionally led Arctic sea ice freeze up around the ship. |
| 0:47.8 | They wanted to learn more about the ice itself. |
| 0:50.2 | But in April 2020, just halfway through the year-long experiment, it was unclear if that ice would stay frozen for the remaining six months of the project. |
| 1:05.0 | You're listening to Scientific Americans' Science Quickly. I'm Emily Schweng. |
| 1:21.6 | Sea ice, according to scientists, is melting at an alarming rate. So quickly that some researchers believe traditional methods for forecasting its extent may not keep up with the pace of a changing climate. |
| 1:29.2 | By the year 2050, the Arctic could be ice-free in the summer months, |
| 1:33.9 | and shipping traffic in the region is on the rise, but predicting sea ice extent is complicated. |
| 1:40.1 | Today we're looking at how machine learning artificial intelligence could become the tool of the future for sea ice forecasting. |
| 1:48.5 | We build artificial intelligence and machine learning models for the Arctic based on the science of oceanography. |
| 1:57.2 | That's Leslie Canavera. She's CEO of a company called Polarctic, and she's trying to forecast ice in a different way than science ever has. |
| 2:07.8 | Since the late 1970s, scientists have relied on physics and statistical modeling to create sea ice forecasts. |
| 2:16.2 | When you take two water bottles and you freeze them together, you know, like, all right, this is how they freeze together. |
| 2:21.3 | But there's a lot of assumptions in that. |
| 2:25.3 | And when you extrapolate to the ocean, there's a lot of error. |
| 2:29.3 | And statistical modeling is based on, like, historical things of what's happened. But with climate |
| 2:37.3 | change, it's not acting like the history anymore. And so artificial intelligence really takes |
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