Semiconductor Engineering:
AI continues to migrate towards the edge and is no longer confined to the data center. Edge AI brings several key advantages, delivering intelligence closer to where data is generated, improving latency for critical functions, ensuring privacy by limiting transmitted data, and reducing energy consumption for AI.
Edge AI encompasses systems performing AI inferencing directly where data is created, including everything from industrial gateways monitoring production lines to smart security cameras in retail stores, connected vehicles on the road, and autonomous robots on warehouse floors. The success of edge AI deployments depends not only on performance or efficiency but also on openness, which enables hardware and software to work seamlessly across vendors and ecosystems.
