Noch ein Klima-Podcast? Ja, aber “Jetzt mal ganz in Ruhe”! Michael, Johannes und Jens gehen darin den Geheimnissen des Klimawandels und der Energiewende auf den Grund – und zwar ganz ruhig, sachlich und für alle verständlich. Ohne erhobenen Zeigefinger, politisches Hick-Hack und Schuldzuweisungen. Und bei aller Ernsthaftigkeit des Themas vor allem: fröhlich. Denn komplexe Zusammenhänge zu verstehen und physikalische Aha-Momente zu erleben macht Spaß. Und der beste Nebeneffekt: Hinterher diskutiert

Memory phenomena and portals with a Christmas twist🎄

Credits & Further ReadingClassical Physics Just DiedIf classical physicists attempt to prove these findings without invoking simulation-like or dynamic frameworks, they face a formidable uphill battle. The negative time results [arXiv:2409.03680 (quant-ph)]( https://arxiv.org/abs/2409.03680# ) coupled with light-driven control [Chem(24)Paper] ( https://www.cell.com/chem/fulltext/S2... ) point to phenomena that classical physics cannot fully explain without fundamentally rethinking i...

Satire

In this episode of Simply Science, we explore the fascinating parallels between the brain's memory system and artificial intelligence. The brain acts as an information filter, much like a computer clearing disk space—it deletes outdated or irrelevant data to make room for new insights. This process, known as “catastrophic forgetting” in neuroscience, involves the weakening or resetting of neural connections, allowing the brain to rewire itself and adapt. While this may seem like a flaw, it’s a

Welcome to Simply Science, the podcast where we break down the complex mysteries of the universe into ideas we can all understand. We are Max and Enola, and today, we’re diving into an intriguing open problem in physics and artificial intelligence: the mystery of neural networks and the challenge of making them explainable.Neural networks, the AI systems that mimic how our brains work, are revolutionizing physics. From predicting complex systems to analyzing massive datasets, these networks are

Minuto Curioso, Força Centrífuga

In this episode of Simply Science, we explore a fascinating new approach to machine learning inspired by how our brain works. Imagine using a system of elements that can switch between two states, like light switches being on or off. These elements are influenced by random noise, just like neurons firing unpredictably. Instead of relying on exact values, this system stores information in patterns of probabilities.The researchers show how this method can solve the XOR problem, which is important for

D. Carlero et al, ACS Nano 2024, 18, 30, 19518–19527Researchers from Kanazawa University's NanoLSI, IMDEA Nanoscience, and CNB-CSIC studied influenza A replication using high-speed atomic force microscopy. They observed that recombinant ribonucleoprotein complexes (rRNPs) can undergo multiple transcription cycles, with RNA structure stability influencing synthesis rates. Their findings offer new insights into viral replication mechanisms and RNA synthesis regulation, opening doors for further...

In this episode of Simply Science, we’re diving into a new twist on artificial intelligence that’s shaking up the world of physics and engineering! While neural networks are famous for powering self-driving cars and understanding our cat memes, there’s a lesser-known frontier where they’re doing something pretty wild: solving equations!Join us as we explore the fascinating world of Physics-Informed Neural Networks, or PINNs for short. These clever networks don’t just crunch data; they follow the

In this episode of Simply Science, we break down the concept of nonlinear dynamics in a way that's easy to understand, even for those without a background in science. Nonlinear dynamics is all about systems that don’t follow straightforward, predictable rules—instead, they behave in ways that can seem chaotic and complex, with small changes sometimes leading to big consequences.We’ll explore examples of nonlinear systems from nature, like weather patterns, ecosystems, and even the human brain. Along

In Simple Science, we break down complex ideas into something you can easily understand. In this episode, we explore the fascinating concept of stochastic resonance—a surprising phenomenon where a little bit of noise can actually help make weak signals clearer! Whether it's helping animals hear better in noisy environments or improving medical devices, you'll learn how randomness can sometimes be a good thing. No complicated math or jargon, just clear explanations and fun examples that show how this

M.S. Alam et al, Small Methods 2024, 2400287Atomic force microscopy (AFM) was initially developed to visualize surfaces at nanoscale resolution. Researchers at WPI NanoLSI, Kanazawa University, have now extended AFM for 3D imaging, particularly for flexible nanostructures like carbon nanotubes. They demonstrated that dynamic mode AFM, which uses a vibrating tip, causes less friction and damage than static mode, making it ideal for imaging delicate biological systems like cells, organelles, an...

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