AI, neural networks and the edge of the cloud: Page 4 of 4

January 04, 2018 //By Francisco Socal
AI, neural networks and the edge of the cloud
Currently, there is much excitement around Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL), as well as other interrelated and emerging technologies.

Looking to the future – the right combination of AI and NN accelerators

As the world becomes increasingly dependent on AI, so will the need for NNs – consumers will come to expect and demand the enhancements they bring, such image recognition, voice processing, language translation and more, but without negatively impacting performance or power.

The processing will have to be done in edge devices because delays due to latency, sporadic inaccessibility and a lack of suitable security simply won’t be acceptable to consumers and in some instances, could ultimately put lives at risks.

However, without a NNA in place some devices will struggle to keep up and ultimately will fail to succeed at their intended task. Therefore, it is clear that to make AI practicable, a NN running on an NNA in an edge device should be the platform of choice for the future.

 

About the author:

Francisco Socal is Technology Marketing Manager for PowerVR at Imagination Technologies - www.imgtec.com

 

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