Episode 33: Brain-Inspired AI — Neuromorphic Computing and Spiking Neural Networks

In this episode of AI Ignited, host Elif Baser sits down with Zeynep Polat to explore one of the most exciting frontiers in artificial intelligence: Brain-Inspired AI. What if computers could think more like us—efficient, adaptive, and energy-conscious? Together, they unpack neuromorphic computing, a new approach to designing AI chips that mimic neurons and synapses, promising massive gains in speed and sustainability. They also dive into spiking neural networks (SNNs), models that “fire” like real neurons, capturing not just data but also timing, rhythm, and context. From Intel’s experimental Loihi chip to IBM’s TrueNorth project, the conversation highlights how close we are to AI that works less like a calculator and more like a brain. The future may be one where machines process information as elegantly as we do—powerful, adaptable, and built to last. Tune in for a thought-provoking discussion on how brain-inspired AI could transform robotics, wearable tech, and the way AI integrates into our daily lives.