US Chipmaker Intel Eyes AI on ‘Edge Computing’

It is designed to accelerate AI tasks, particularly ones like image processing, delivering performance up to six times the power efficiency of existing processors

Intel on Wednesday unveiled eight additional 10th Gen Intel Core processors for modern laptop computing.
Intel on Wednesday unveiled eight additional 10th Gen Intel Core processors for modern laptop computing. Pixabay

US chipmaker Intel Corp. has said that it will focus on “edge computing” that could hold the key to the success of artificial intelligence (AI) in the future.

Edge computing refers to the practice of storing data on computers located near cell towers and other network equipment to improve network response times. It is different from today’s Cloud-based system, where information is sent to a distant data centre, Yonhap news agency reported on Wednesday.

“Forty-three per cent of AI tasks will be handled by edge computing in 2023,” Kwon Myung-sook, CEO of Intel Korea, said in a statement during a forum in Seoul.

“AI devices empowered with edge function will jump 15-fold.”

The expansion of computing at the edge is an important growth opportunity for the chip giant — an estimated $65 billion market by 2023, Intel said.

Huawei, Atlas 900, World
The future of computing is a massive market worth more than two trillion US dollars. Pixabay

More AI is being incorporated into edge devices, from Internet of Things (IoT) devices to smartphones, as AI algorithms improve, according to the company.

“Innovation in edge computing has become necessary where data is most produced,” Kwon said. “It is why Intel is preparing a platform solution that can cover both hardware and software.”

Intel said AI will support and provide new services in eight key industries, including smart cities, robots and gaming.

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In order to do so, Intel said it will launch the next-generation Movidius Vision Processing Unit next year.

It is designed to accelerate AI tasks, particularly ones like image processing, delivering performance up to six times the power efficiency of existing processors. (IANS)

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