This is the second part of AI Assistants & Interfaces!
This is the second part of AI + Robotics.
This is the second part of Edge AI: Smart at the Source.
This is the second part of Sensors for Perception.
This is the second part of Training an AI: Electronics at Work.
This is the second part of Memory & Models.
This is the second part of Analog AI & Neuromorphic Computing.
This is the second part of The Rise of the AI Chip.
This is a part 2 episode of Neural Networks in Silicon.
Optical computing, quantum accelerators, 3D chip stacking. Smarter sensors, self-improving chips. Can machines ever become hardware-aware?
EKG wearables, smart stethoscopes, diagnostic tools. FDA-cleared algorithms in portable electronics. How do sensors + AI change medicine?
Efficiency vs scale: how green is AI? Specialized chips for low-power learning. Powering the future of local AI.
Microphones, wake words, real-time NLP. Inside Alexa, Siri, and Google Assistant. How do chips handle conversation?
Control systems, real-time feedback, actuator loops. Vision + movement + decision. Warehouse bots, prosthetics, quadrupeds.
TinyML, Arduino AI, on-chip inference. Power limits, latency, offline capability. Examples: wearables, drones, smart toys.
Vision (CMOS), Audio (MEMS mics), Touch (haptics). How do sensors feed raw signals to AI systems? Edge AI in cameras, doorbells, phones.
Power-hungry GPUs, cooling, racks. How does math turns into signals? Inside a data center for AI training.
DRAM, SRAM, Flash in training & inference. Why do memory bottlenecks matter? How are models are stored, moved, and compressed?
Chips that mimic the brain (Loihi, TrueNorth). Spiking neurons, synaptic weight in circuits. Memristors and other brain-inspired tech