Covering Scientific & Technical AI | Wednesday, February 12, 2025

4th Annual Edge AI Summit to be Held Virtually Nov. 15-18 

Sept. 30, 2021 -- The opportunity of Edge AI is clear – it is bringing real-time, personalized, scalable, and secure AI to resource-constrained devices, unlocking the next wave of intelligent devices. The 4th annual Edge AI Summit will be held virtually from Nov. 15 to 18. An in-person follow-up event will be held Dec. 1.

Optimizing AI performance while operating economically at the edge remains the elusive holy grail. For four years, the Edge AI Summit has aided enterprise adopters, OEMs, AI software, and hardware providers in their pursuit of deploying AI at the edge, by helping them form partnerships that will improve the performance of embedded hardware, optimize models, and compress workloads to enable high-performing and low-footprint AI to exist at the edge.

The 4th annual Edge AI Summit unites the technologists tasked with designing and developing real-world use cases that bring real-time and secure AI to low-power applications from the sensor-edge to device-edge, and to areas that have limited connectivity to the cloud.

Key Themes

  • Monday, Nov. 15: Scalable & Low-Latency AI Deployed on Resource-Constrained IoT Devices
  • Tuesday, Nov. 16: Holistic Hardware & Software Solutions for High-Performing Edge AI Inference & Training
  • Wednesday, Nov. 17: Understanding Neuromorphic Computing, the AIoT Market & Interoperability Challenges at the Edge
  • Thursday, Nov. 18: Profitable Edge AI in the Age of 5G, the Hybrid Cloud & AI Regulations

Following on from the virtual event we will be hosting an in-person workshop for speakers and attendees in Mountain View, California on Dec. 1, 2021. The follow-up in-person event will explore the key themes from the Edge AI Summit in more detail and it will be an opportunity for you to meet in-person the connections you make at the online show. Register for the online show for priority access.

For more information, visit the Edge AI Summit event page.


Source: Edge AI Summit, Kisaco Research

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