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It’s another news roundup! This time, we cover how, using data analytics – and ironically, some AI – a team at Cornell University has mapped the environmental impact of AI by state. They determined that, by 2030, the rate of AI growth in the U.S. would put an additional 24 to 44 million metric tons of carbon dioxide into the atmosphere. The team further calculated that by 2030, AI could use as much water as 6 to 10 millions Americans do every year. All of this, they conclude, would put the tech industry’s climate goals out of reach. This episode, we also get into the potential for life on one of Saturn’s moons and a new discovery about why chameleons’ eyes are so special. Interested in reporting on the environmental impact of AI? Email us your question at shortwave@npr.org.Listen to every episode of Short Wave sponsor-free and support our work at NPR by signing up for Short Wave+ at plus.npr.org/shortwave.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

David Ewing Duncan has spent the last 25 years being poked and prodded in the name of science. He’s signed up for hundreds of tests because, as a journalist, he writes about emerging health breakthroughs. He says one recent test contains more useful data than anything he’s seen to date. He talks to host Emily Kwong about his score on the Immune Health Metric, which was developed by immunologist John Tsang. Together, David and John explain why immune health is so central to overall health and how a simple blood test could one day predict disease before it starts.Learn more about the Human Immunome Project.Read David’s full article about his experience with the Immune Health Metric. The piece is a collaboration between MIT Technology Review and Aventine, a non-profit research foundation that creates and supports content about how technology and science are changing the way we live. Read the story on Aventine's website here. Interested in more health science? Email us your question at shortwave@npr.org.Listen to every episode of Short Wave sponsor-free and support our work at NPR by signing up for Short Wave+ at plus.npr.org/shortwave.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Cosmic dust can tell scientists about how ice covered Earth during the last ice age. This dust is leftover debris from asteroids and comets colliding in space and this dust constantly rains down on our planet. Researcher Frankie Pavia from the University of Washington recently used a brand new method for estimating climate conditions 30,000 years ago, by looking at the cosmic dust amounts in ancient arctic ocean soil. He and a team found new clues to what melted arctic ice at the end of the ice age. These results may be able to better inform ice melt in the future.Interested in more space science? Email us your question at shortwave@npr.org.Listen to every episode of Short Wave sponsor-free and support our work at NPR by signing up for Short Wave+ at plus.npr.org/shortwave.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy