PRNewswire has published an article describing CEVA, Inc.’s introduction of a new DSP-based offering to bring Deep Learning and Artificial Intelligence capabilities to low-power embedded systems. A comprehensive, scalable, integrated hardware and software silicon IP platform that is centered around a new imaging and vision DSP – the CEVA-XM6 – allows developers to efficiently harness the power of neural networks and machine vision for smartphones, autonomous vehicles, surveillance, robots, drones and other camera-enabled smart devices.

Compared to the previous generation CEVA-XM4 intelligent vision DSP, the new CEVA-XM6-based vision platform delivers up to 8x higher performance for neural network workloads and up to 3x performance improvement across all computer vision kernels. Key enhancements introduced in the new architecture include a new vector and scalar processing units and substantial enhancements to instruction set, memory bandwidth and direct memory access (DMA).

Ilan Yona, vice president and general manager of the Vision Business Unit at CEVA, commented, “As computer vision and deep learning technologies become mainstream, there is a need to bridge the gap between the deep neural networks that are being generated by power-consuming GPU engines and the ability to deploy these in power- and performance-constrained embedded applications. Our new vision platform excels in this regard, providing developers with the most comprehensive set of technologies to rapidly address these embedded use-cases.”

Read more at PRNewswire.