Featured paper: [**Efficient event-based delay learning in spiking neural networks**](https://doi.org/10.1038/s41467-025-65394-8)

What if AI could learn to use time the way your brain does, with a fraction of the energy? In this episode, we explore groundbreaking research that's revolutionizing spiking neural networks by teaching them to master synaptic delays. Discover how this brain-inspired approach uses sparse, event-driven spikes instead of constant data streams, slashing energy consumption while processing temporal information. We dive into the breakthrough EventProp algorithm that calculates exact gradients for both connection weights and delays, running 26 times faster than previous methods while using half the memory. Learn why adding learnable delays transforms small networks into powerhouses, achieving state-of-the-art accuracy with five times fewer parameters on speech recognition tasks. Join us as we unpack how this event-based training is paving the way for neuromorphic hardware that thinks like the brain but runs on just 20 watts of power. Perfect for anyone fascinated by the future of energy-efficient AI that truly understands the language of time.*Disclaimer: This content was generated by NotebookLM. Dr. Tram doesn't know anything about this topic and is learning about it.*

Featured paper: Telecom-wavelength quantum teleportation using frequency-converted photons from remote quantum dots
What if we could teleport information across the globe instantly and securely? In this episode, we explore a groundbreaking quantum physics breakthrough that brings us closer to a global quantum internet. Discover how scientists successfully teleported photon states using semiconductor quantum dots converted to telecom wavelengths, achieving 72.1% fidelity and beating the classical limit. We dive into the ingenious "quantum translator" technology that shifts photons from 780 nm to 1515 nm, explain how Bell State Measurements create the magic of quantum teleportation, and explore why using existing fiber optic infrastructure is the key to scaling this technology globally. Join us as we unpack how entangled photon pairs act as bridges for instant information transfer, why polarization preservation is critical, and what obstacles remain before we can build unhackable quantum networks spanning continents. Perfect for anyone fascinated by how quantum mechanics is transforming from science fiction into tomorrow's internet backbone.*Disclaimer: This content was generated by NotebookLM. Dr. Tram doesn't know anything about this topic and is learning about it.*

Featured paper: A noise-tolerant human–machine interface based on deep learning-enhanced wearable sensors
What if your smartwatch could understand your gestures perfectly, even while you're running full speed on a treadmill? In this episode, we dive into groundbreaking wearable technology that uses deep learning to filter out real-world noise and motion artifacts that normally confuse sensors. Discover how researchers built a tiny, stretchable sensor system that combines IMUs and EMG signals with a CNN trained on intense, real-world disturbances, achieving over 94% accuracy in chaotic conditions. We explore how this breakthrough enables precise robotic arm control while running, demonstrates transfer learning that reduces training time to just two gestures per person, and even works underwater with sea-wave interference. Join us as we unpack how this "superhero hearing" for wearables is revolutionizing human-machine interfaces, from advanced robotics to deep-sea exploration. Perfect for anyone fascinated by how AI is making our devices truly understand us, no matter how noisy the world gets.*Disclaimer: This content was generated by NotebookLM. Dr. Tram doesn't know anything about this topic and is learning about it.*