How Chips Are Using On-Chip Neural Networks for Real-Time Inference

This episode of The Hardware Podcast explores the emerging trend of integrating neural network accelerators directly onto chips for real-time inference at the edge. Lucas and Luna discuss how on-chip neural networks enable low-latency AI processing without cloud dependency, using the example of Syntiant's NDP120 chip that achieves 99% accuracy in keyword spotting while consuming under a milliwatt of power. They examine the architecture trade-offs between digital and analog compute-in-memory approaches, and how companies like Mythic and GreenWaves Technologies are pushing the boundaries of ultra-low-power inference for wearables and IoT devices. The conversation also touches on the implications for privacy and the future of distributed intelligence. #OnChipNeuralNetworks #EdgeAI #TinyML #Syntiant #Mythic #GreenWavesTechnology #ComputeInMemory #KeywordSpotting #UltraLowPower #Wearables #IoT #AIAccelerator #NeuralNetwork #RealTimeInference #Technology #Hardware #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo