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.
Optimizing AI performance whilst 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.
Including case studies from: Autonomous Vehicles | Aerospace/Aviation | Energy | Consumer Electronics | Industrial Automation | Medical Devices