Radiolab is on a curiosity bender. We ask deep questions and use investigative journalism to get the answers. A given episode might whirl you through science, legal history, and into the home of someone halfway across the world. The show is known for innovative sound design, smashing information into music. It is hosted by Lulu Miller and Latif Nasser.

Welcome to Eureka!, the show that gets under the skin of science with questions that really matter! Join science enthusiast Rick Edwards and actual real-life scientist Dr Michael Brooks every week as they dissect some of the universe’s most puzzling questions with the help of the world’s leading experts. From alien invasions and AI robot takeovers, to face transplants and talking animals, Rick and Michael are getting to the bottom of it all! Subscribe to ensure you never miss an episode.

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Think like a physicist. Wonder like a human. Into the Impossible is where Cosmic Conversations happen — uniting Nobel Prize winners, iconoclasts, authors, and technologists to explore reality’s deepest questions. From AI to aliens, from biophysics to the brain, from the cosmos to the multiverse, Brian Keating, Chancellor’s Distinguished Professor of Physics at UC San Diego covers it all. If you’ve ever asked What’s out there? or What’s next?, this is where curiosity meets clarity. Learn to think like this. 🎙 Full episodes, notes & more: briankeating.com/podcast

The Michael Shermer Show is a series of long-form conversations between Dr. Michael Shermer and leading scientists, philosophers, historians, scholars, writers and thinkers about the most important issues of our time.

The Science Show gives Australians unique insights into the latest scientific research and debate, from the physics of cricket to prime ministerial biorhythms.

Low-Energy Electron-Track Imaging for a Liquid Argon Time-Projection-Chamber Telescope Concept using Probabilistic Deep Learning by M. Buuck et al. on Monday 21 November The GammaTPC is an MeV-scale single-phase liquid argon time-projection-chamber gamma-ray telescope concept with a novel dual-scale pixel-based charge-readout system. It promises to enable a significant improvement in sensitivity to MeV-scale gamma-rays over previous telescopes. The novel pixel-based charge readout allows for imaging of the tracks of electrons scattered by Compton interactions of incident gamma-rays. The two primary contributors to the accuracy of a Compton telescope in reconstructing an incident gamma-ray's original direction are its energy and position resolution. In this work, we focus on using deep learning to optimize the reconstruction of the initial position and direction of electrons scattered in Compton interactions, including using probabilistic models to estimate predictive uncertainty. We show that the deep learning models are able to predict locations of Compton scatters of MeV-scale gamma-rays from simulated pixel-based data to better than 0.6 mm RMS error, and are sensitive to the initial direction of the scattered electron. We compare and contrast different deep learning uncertainty estimation algorithms for reconstruction applications. Additionally, we show that event-by-event estimates of the uncertainty of the locations of the Compton scatters can be used to select those events that were reconstructed most accurately, leading to improvement in locating the origin of gamma-ray sources on the sky. arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2207.07805v2

What Is It About The Weather is a podcast/vidcast series where we explore the various ways weather is intertwined into and impacts our lives. Weather itself is interesting and amazing, but what can be even more fascinating and intriguing is how much influence it actually has in our lives. In this journey we hope you will find yourself laughing, enjoying, and learning and from time to time even uttering "I did not know that".

Weather geek by nature, atmospheric scientist by degree and meteorologist by trade, your host Mark T Jelinek loves talking about the weather. That love for weather actually drove him back to graduate school after a successful first career in the information services field. He looks forward to expanding your weather horizons and along the way is likely to be heard muttering "I did not know that".