Using AI to predict the weather

Using AI to predict the weather Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us. In this episode, researchers discuss advances in AI-enabled weather forecasting. In this episode, we cover: •[00:00] Introduction •[01:12] Jeffrey Shrader explains what 48 expert forecasters had to say about how weather predictions might further improve through 2100, including the potential role of AI. •[03:43] Ignacio Lopez-Gomez explains how he used generative AI to downscale large-scale earth system models into finer-scale regional climate projections. •[05:35] Xiaofeng Li explains how he used a machine learning model to forecast whether tropical cyclones will rapidly intensify. •[07:40] Hui Su explains what nowcasting is and how her deep diffusion model works. •[09:52] Pedram Hassanzadeh explains what grey swans are and why they may be challenging for AI to predict. •[10:47] Qiang Sun explains how he and his colleagues tested the ability of AI to predict gray swans. •[12:28] Final thoughts and conclusion. About Our Guests: Jeffrey Shrader Associate Professor of International and Public Affairs Columbia University Ignacio Lopez-Gomez Research Scientist Google Xiaofeng Li Research Scientist Institute of Oceanology, Chinese Academy of Sciences Hui Su Chair Professor Hong Kong University of Science and Technology Pedram Hassanzadeh Associate Professor University of Chicago Qiang Sun Research Scientist University of Chicago View related content here: https://www.pnas.org/doi/full/10.1073/pnas.2523372123 https://www.pnas.org/doi/full/10.1073/pnas.2420288122 https://www.pnas.org/doi/full/10.1073/pnas.2415501122 https://www.pnas.org/doi/full/10.1073/pnas.2517520122 https://www.pnas.org/doi/full/10.1073/pnas.2420914122 Follow us on Spotify, Apple Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs! Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast  Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up the PNAS Highlights newsletter

Cryopreservation of brain tissue structures Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us. In this episode, Alexander German explains how to cryopreserve brain tissue through vitrification. In this episode, we cover: •[00:00] Introduction. •[01:14] Physician-scientist Alexander German introduces the problems with traditional cryopreservation methods. •[02:22] German explains why we cryopreserve tissue. •[03:23] He tells about vitrification and why it's different than traditional cryopreservation. •[04:13] German explains why osmotic stress is a concern in cryopreservation. •[04:51] He talks about how the protocol minimizes damage to brain structures and tissues. •[06:26] He recounts the tests they performed to evaluate the preservation and function of the vitrified tissues. •[07:03] German describes the usefulness of vitrification. •[08:48] He lists the caveats and limitations of the study. •[10:03] Conclusion. About Our Guest: Alexander German  Resident Universität Erlangen-Nürnberg View related content here: https://www.pnas.org/doi/full/10.1073/pnas.2516848123 Follow us on Spotify, Apple Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs! Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast  Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter

The lost forests of Doggerland Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us. In this episode, Robin Allaby explores the paleoecology of the submerged area known as Doggerland. In this episode, we cover: •[00:00] Introduction. •[01:10] Evolutionary biologist Robin Allaby introduces the location of Doggerland and history of its exploration. •[02:58] He introduces sedimentary DNA, including how it can be used to reconstruct paleoecology. •[03:43] Allaby describes the methods of the study. •[05:18] He introduces the primary findings about the plant and animal life of Doggerland. •[06:14] He describes the surprising find of Pterocarya in Doggerland.  •[08:07] Allaby discusses the habitability of Doggerland for Mesolithic societies. •[09:38] He lists the caveats and limitations of the study. •[10:13] Conclusion. About Our Guest: Robin Allaby  Professor University of Warwick View related content here: https://www.pnas.org/doi/full/10.1073/pnas.2508402123 Follow us on Spotify, Apple Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs! Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast  Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter

Generative AI and scientific journals Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us. In this episode, Yi Bu explores how generative AI has changed academic publishing. In this episode, we cover: •[00:00] Introduction. •[00:50] Computational social scientist Yi Bu tells about the policies academic journals have introduced to address generative AI. •[02:17] Bu describes the dataset he analyzed and his findings regarding journals' policies. •[04:07] He answers the question: Did journal policies have any effect on AI usage? •[05:39] Bu talks about how the rate of AI disclosure compares with estimates of probable AI use. •[06:53] He explains the takeaway for journal editors and the scientific community at large. •[07:27] He lists the caveats and limitations of the study. •[10:11] Conclusion. About Our Guest: Yi Bu Assistant Professor Peking University View related content here: https://www.pnas.org/doi/abs/10.1073/pnas.2526734123 Follow us on Spotify, Apple Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs! Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast  Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter

Genomics of the Golden Horde Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us. In this episode, Ayken Askapuli explains genomic insights into the ancestors and descendants of the Golden Horde. In this episode, we cover: •[00:00] Introduction. •[00:56] Population geneticist Ayken Askapuli introduces the Golden Horde. •[02:01] He describes the individuals in the mausoleums whose DNA the team sampled.  •[04:11] Askapuli explains findings about the modern populations the Golden Horde individuals were related to. •[05:08] He then explains findings about the Y chromosome characteristics of the Golden Horde individuals. •[06:14] Askapuli talks about what the results say about the ancestry of the Golden Horde. •[06:48] He describes how the results aid understanding of population genetics in central Eurasia. •[08:10] He lists the caveats and limitations of the study. •[09:53] Conclusion. About Our Guest: Ayken Askapuli PhD candidate University of Wisconsin-Madison View related content here: https://www.pnas.org/doi/abs/10.1073/pnas.2531003123 Follow us on Spotify, Apple Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs! Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast  Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter

How much carbon dioxide concrete can absorb Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us. In this episode, Hessam Azarijafari explains the extent to which concrete can absorb carbon dioxide over its lifecycle. In this episode, we cover: •[00:00] Introduction. •[00:56] Construction engineer Hessam Azarijafari introduces us to the recipe for concrete. •[01:41] He explains how concrete absorbs carbon dioxide throughout its lifespan, and why this absorption is important. •[02:52] Azarijafari talks about the background of the study. •[03:45] He describes the model built for the study and the data source. •[05:59] Azarijafari tells the study's results, including variation in absorption across sectors and between the US and Mexico. •[07:41] He compares this analysis with previous estimates of concrete carbon absorption. •[08:25] He explains the takeaways from this study for policymakers and the concrete industry. •[09:36] He lists the caveats and limitations of the study. •[10:19] Conclusion. About Our Guest: Hessam Azarijafari Research Scientist Massachusetts Institute of Technology View related content here: https://www.pnas.org/doi/abs/10.1073/pnas.2515116122 Follow us on Spotify, Apple Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs! Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast  Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter

Determining how well extinct animals could smell Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us. In this episode, Quentin Martinez describes a reconstruction of olfactory capabilities in extinct mammals. In this episode, we cover: •[00:00] Introduction •[01:14] Evolutionary biologist Quentin Martinez tell why we want to reconstruct olfaction in extinct animals. •[02:35] He introduces the olfactory bulb endocast, or space within the skull that contained the olfactory bulb, and explains why it's important in evaluating olfaction in extinct animals. •[04:24] Martinez talks about studying the genomics of chemoreceptor genes, in addition to the bony structure of the olfactory bulb endocast. •[05:23] He tells about the results of the study. •[07:46] Martinez lists possible insights from reconstructing extinct animals' olfaction. •[08:53] He lists the caveats and limitations of the study. •[10:16] Conclusion. About Our Guest: Quentin Martinez Postdoctoral researcher Natural History Museum, Stuttgart, Germany View related content here: https://www.pnas.org/doi/10.1073/pnas.2510575122 Follow us on Spotify, Apple Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs! Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast  Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter

Hidden sustainability costs of AI Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us. In this episode, researchers describe the sustainability impact of AI data centers. In this episode, we cover: •[00:00] Introduction •[01:20] Bronis de Supinski describes how the energy demands of AI data centers have increased in recent years and why improvements in data center energy efficiency will not necessarily reduce total energy expenditures •[03:08] Eric Masanet explains the difficulty of tracking and projecting the energy usage of AI data centers. •[05:12] Shaolei Ren describes the water usage and air pollution associated with AI data centers. •[07:30] Tevfik Kosar explains how AI might be leveraged as a tool to help address climate change and sustainability challenges. •[09:00] Final thoughts and conclusion. About Our Guests: Bronis de Supinski  Chief Technology Officer Lawrence Livermore National Laboratory  Eric Masanet  Professor University of California Santa Barbara Lawrence Berkeley National Laboratory Shaolei Ren  Associate Professor  University of California Riverside Tevfik Kosar  Professor University at Buffalo Follow us on Spotify, Apple Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs! Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast  Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter

Molecular regulation of mosquito biting timing Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us. In this episode, Laura Duvall introduces a potential pathway for disrupting the biting behavior of mosquitoes. In this episode, we cover: •[00:00] Introduction •[00:57] Mosquito neuroscientist Laura Duvall introduces us to the normal biting behavior of mosquitoes. •[02:46] She tells why the biting behavior of the Aedes aegypti mosquito is of particular interest. •[03:24] Duvall describes findings regarding how mosquitoes' responses to CO2 vary over times of day. •[05:37] She introduces the PDF peptide that might be regulating timing of biting behavior and explains how losing that peptide changed mosquitoes' behavior. •[08:07] Duvall talks about the takeaways from the study for control of mosquito-borne illnesses. •[08:53] She lists the caveats and limitations of the study. •[09:26] Conclusion. About Our Guest: Laura Duvall Assistant Professor Columbia University View related content here: https://www.pnas.org/doi/10.1073/pnas.2520826122 Follow us on Spotify, Apple Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs! Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast  Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter

How well flu vaccines protect public health Science Sessions are brief conversations with cutting-edge researchers, National Academy members, and policymakers as they discuss topics relevant to today's scientific community. Learn the behind-the-scenes story of work published in the Proceedings of the National Academy of Sciences (PNAS), plus a broad range of scientific news about discoveries that affect the world around us. In this episode, Lauren Meyers explains what the 2022-2023 influenza season taught us about the effectiveness of flu vaccines. In this episode, we cover: •[00:00] Introduction •[01:16] Computational epidemiologist Lauren Meyers introduces the health and hospitalization burden of seasonal influenza. •[01:47] She defines vaccine effectiveness. •[02:37] Meyers describes the features of the 2022-2023 flu season. •[04:05] She describes how the researchers estimated the hospitalizations prevented by vaccination. •[05:11] Meyers tells how vaccination of young adults protected adults over 65 years of age. •[06:56] She describes the takeaways of the study for future flu seasons. •[08:08] Meyers lists the caveats and limitations of the study. •[09:49] Conclusion. About Our Guest: Lauren Meyers Professor University of Texas at Austin View related content here: https://www.pnas.org/doi/abs/10.1073/pnas.2505175122 Follow us on Spotify, Apple Podcasts, or wherever you get your podcasts for more captivating discussions on scientific breakthroughs! Visit Science Sessions on PNAS.org: https://www.pnas.org/about/science-sessions-podcast  Follow PNAS: Twitter/X Facebook LinkedIn YouTube Sign up for the PNAS Highlights newsletter