Brains in the Machine: The Rise of Neuromorphic Computing (Ep. 285)

Data Science at Home

A tartalmat a Francesco Gadaleta biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Francesco Gadaleta vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

4M ago 24:18

MP3•Epizód kép

In this episode of Data Science at Home, we explore the fascinating world of neuromorphic computing — a brain-inspired approach to computation that could reshape the future of AI and robotics. The episode breaks down how neuromorphic systems differ from conventional AI architectures like transformers and LLMs, diving into spiking neural networks (SNNs), their benefits in energy efficiency and real-time processing, and their limitations in training and scalability. Real-world applications are highlighted, including low-power drones, hearing aids, and event-based cameras. Francesco closes with a vision of hybrid systems where neuromorphic chips and LLMs coexist, blending biological inspiration with modern AI.

📚 References

SpikingJelly: https://github.com/fangwei123456/spikingjelly
Norse: https://github.com/norse/norse
IBM TrueNorth: https://www.millionairematch.com
AGNTCY — The open source collective building the Internet of Agents
🌐 https://www.agntcy.org

293 epizódok

#Tech #News #Tech News #Francesco Gadaleta