Edge AI products span a wide spectrum, from mobile phones all the way down to fitness ring wearables. The lower half of this range is very challenging to suppliers of microprocessors and microcontrollers as traditional Large Language Models are now being optimized and focused into small models that run in systems with extreme constraints of battery capacity and physical volume while accommodating requirements for compute, neural processing acceleration, memory capacity, and interfacing.
I'll discuss Edge AI market trends and key applications, how constraints are pushing the envelope of embedded controllers' performance and efficiencies, and innovations in architecture and technology coming from Alif Semiconductor to meet the demands imposed by the rapid expansion of AI/ML capabilities at this Endpoint side of the Edge AI spectrum.
