Proving the Business Case for the Internet of Things

Intel and Technion collaborate on AI

Steve Rogerson
October 16, 2018



Intel is collaborating with Israel technological institute Technion at its artificial intelligence (AI) research centre. The announcement was made at the centre's inauguration by Michael Mayberry (pictured left), Intel's chief technology officer, and Naveen Rao (right), Intel corporate vice president.
 
"AI is not a one-size-fits-all approach, and Intel has been working closely with a range of industry leaders to deploy AI capabilities and create new experiences,” said Rao. “Our collaboration with Technion not only reinforces Intel Israel's AI operations, but we are also seeing advancements to the field of AI from the joint research that is under way and in the pipeline."
 
The centre includes Technion's computer science, electrical engineering, industrial engineering and management departments, all collaborating to drive a closer relationship between academia and industry in the race to AI. Intel, which invested undisclosed funds in the centre, will represent the industry in AI-dedicated computing research.
 
Intel says it is committed to accelerating the promise of AI across many industries and driving the next wave of computing. Research exploring novel architectural and algorithmic approaches is a critical component of Intel's overall AI programme.
 
The company is working with its customers across verticals – including healthcare, autonomous driving, sports, entertainment, government, enterprise and retail – to implement AI and demonstrate real value. Along with Technion, Intel is also involved in AI research with other universities and organisations worldwide.
 
Intel and Technion have enjoyed a strong relationship through the years, as generations of Technion graduates have joined Intel's development centre in Haifa, Israel, as engineers. Intel has also previously collaborated with Technion on AI as part of Intel’s Collaborative Research Institute for Computational Intelligence programme.
 
Intel has unveiled a family of vision accelerator design products targeted at AI inference and analytics performance on edge devices, where data originates and is acted upon. The acceleration products come in two forms: one that features an array of Intel Movidius vision processors; and one built on the Intel Arria 10 FPGA. The accelerators build on the OpenVino software toolkit that provides developers with improved neural network performance on a variety of Intel products and helps them unlock cost-effective, real-time image analysis and intelligence within their IoT devices.