AI on the Edge: Unlocking the Potential of AI Applications
The world is on the edge of something big. It’s artificial intelligence, and it’s transforming everyday life. In Healthcare, AI is driving helping doctors make more accurate diagnoses. In automotive, AI is powering driver-assist and enhancing safety in cars. In the industrial space, AI is used in robotics and vision systems. And for embedded systems, AI is changing how chips are designed, tested, and debugged.
As exciting as these innovations are, humans are only just beginning to explore what’s possible with AI. To unlock its full potential and make it pervasive, an adaptive and heterogeneous approach is a must: one that combines CPUs, GPUs, and programmable logic with open software, distributing workloads from cloud to edge and endpoints. The solutions also need to be adaptable, providing the ability to update or reconfigure AI hardware with the latest models – even years after deployment.
Most discrete devices today are not optimized for power efficiency. But since 2020, improvements in processor efficiency, and AI Engines on adaptive SoCs are helping to deliver power savings for AI. During this keynote presentation, attendees will learn about:
Would you like to delve deeper into the topic?
At embedded world Exhibition&Conference 2025 from March 11 to 13, 2025,
you will have the opportunity to exchange ideas with industry experts.
As the leader of AMD’s Adaptive and Embedded Computing Group (AECG), Salil Raje is responsible for all aspects of strategy, business management, engineering, and sales for FPGAs, adaptive SoCs, embedded processors, and core markets. Raje joined AMD in 2022 from Xilinx, as part of the largest acquisition in semiconductor history. Raje holds a Bachelor of Technology in Electrical Engineering from the Indian Institute of Technology, Madras, and Master of Science and Doctorate degrees in Computer Science from Northwestern University. He holds eight patents in electronic design tools, ASIC, and FPGA designs, and has written more than 15 industry-recognized research papers.
