Embedded.com reports that EMASS (a subsidiary of Nanoveu) has introduced the ECS-DoT, a 22nm microprocessor designed to bring milliWatt-scale intelligence directly to edge and IoT devices. Some of the applications that could benefit from this technology include wearables, drones, and predictive maintenance systems, where it is crucial for the system to operate continuously and consume minimal energy.
ECS-DoT shows efficiency improvements when compared to benchmarks. The energy requirements for each inference are reported to be between 1 and 10 µJ. The design allows for always-on operation, which is not possible with current processors. It also has more memory on the device and can combine data from multiple sensors. These traits show how ECS-DoT could help move next-generation edge AI forward, as Mohamed Sabry, the founder and CTO of EMASS, said in an interview with embedded.com.
Read more at Embedded.com
