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EP 40
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Ant Scans, Lunar Chickpeas, Hidden Galaxies & Superconductivity

Astronomy
Material Science
Biology
Space
Artificial Intelligence
Hosted by Lester Nare and Krishna Choudhary, this rundown episode covers four new science stories at a high level: a huge new 3D ant imaging database built with synchrotron X-ray microtomography, a lunar agriculture experiment that grew chickpeas in simulated moon soil using fungi and worm waste, AI-assisted discovery of strange objects in the Hubble archive, and a new programmatic roadmap for room-temperature superconductivity. There is also another round of Are You Smarter Than a Scientist? in the middle. Summary Particle accelerators meet biodiversity — researchers built a massive high-resolution ant imaging resource, covering nearly 800 species and thousands of specimens, with AI-assisted 3D reconstruction. Moon farming gets weird — chickpeas were grown in lunar regolith simulant with help from mycorrhizal fungi and worm-derived compost, a first step toward sustainable off-world agriculture. AI found hidden anomalies in Hubble’s archive — AnomalyMatch sifted through roughly 100 million source cutouts in just days and surfaced new candidate lenses, mergers, and other rare objects. The superconductivity long game — a new PNAS perspective argues that room-temperature superconductivity is not ruled out by physics, and calls for a coordinated, programmatic push to get there.

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Proceedings of the National Academy of Sciences·

The path to room-temperature superconductivity: A programmatic approach

Room-temperature superconductivity, a game-changer for technology, is still a tough puzzle, but advancements in prediction and engineering could help solve it. By improving our understanding of how to create new superconductors and control their properties, we might soon unlock this incredible phenomenon that can enhance energy efficiency and revolutionize many technologies.

Astronomy and Astrophysics·

Identifying astrophysical anomalies in 99.6 million source cutouts from the <i>Hubble</i> legacy archive using AnomalyMatch

Imagine the Hubble Space Telescope has been taking photos for over 30 years, and nobody has had time to look carefully at all of them. There are about 100 million little image stamps sitting in a digital archive, most never closely examined. These researchers built a smart computer system called AnomalyMatch that works a bit like training a dog to sniff out truffles — you show it a few examples of weird, interesting things, and it goes hunting through the entire archive to find more. In just 2 to 3 days, it flagged hundreds of extraordinary cosmic objects: galaxies crashing into each other, galaxies with gas being ripped away so they look like jellyfish, and gravitational lenses where one galaxy bends light from another galaxy behind it like a cosmic magnifying glass. The exciting part is that humans alone would have taken centuries to do this job.

anomaly detection
Machine Learning
Nature Astronomy·

High-throughput phenomics of global ant biodiversity

Imagine being able to take a detailed 3D MRI of a tiny ant — seeing every hair, joint, and internal organ — without cutting it open or even touching it. That's basically what this team did, but at incredible speed and scale. They used a giant particle accelerator (a synchrotron) that shoots powerful X-rays to scan 2,193 ants from nearly 800 different species, creating detailed 3D models of each one. They then put all these 3D models on a free website for anyone to explore. Think of it like Google Maps, but for ant bodies. Scientists can now use computers to automatically compare body shapes across thousands of ants, pairing those body blueprints with DNA data to understand how ants evolved and why different species look so different from each other.

ant morphology
micro-CT
Scientific Reports·

Bioremediation of lunar regolith simulant through mycorrhizal fungi and plant symbioses enables chickpea to seed

Imagine you tried to grow vegetables in crushed-up volcanic glass mixed with toxic dust — that's basically what Moon dirt (called regolith) is like. It has sharp, jagged particles, almost no nutrients, and contains chemicals that stress plants out. Scientists wanted to see if they could make Moon dirt farmable. They mixed it with worm poop (vermicompost), which adds nutrients, and introduced a special fungus that lives on plant roots and helps them absorb water and nutrients. The plant they chose was the chickpea — a hardy, protein-rich legume. The result? When the fungus was present, chickpea plants actually grew flowers and made seeds even in soil that was 75% Moon dirt. Without the fungus, no seeds at all. The fungus also helped the Moon dirt clump into small balls, which makes it less dusty and dangerous. Think of it like the fungus being a personal trainer and nutritionist for the plant, helping it survive and thrive where it normally couldn't.

Lunar regolith
Arbuscular mycorrhizal fungi