AI Chips at the Edge of Success
AI at the edge has seen a lot of interest in 2025, and IDTechEx expects 2026 to be a take off year for edge AI in many different markets, including robotics and consumer electronics. The hardware, along with software and data, is a core component of enabling AI compute at the edge, opening the door to generative AI features, low-latency decision making, and predictive maintenance, ultimately yielding savings in cost and energy.
This webinar, drawing on research from the IDTechEx report "AI Chips for Edge Applications 2026-2036: Technologies, Markets, Forecasts", will cover:
- Introduction to edge AI
- Why is edge AI important now?
- Different types of AI chips: CPUs, GPUs, NPUs
- Key applications of AI chips at the edge: automotive, robotics, consumer electronics, sensors
