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AI Eye Episode 445: Intel Federal LLC (NasdaqGS: $INTC) Collaborating with Sandia National Labs on Neuromorphic Computing

BrainChip to Present on AI Edge Devices at Conference

 

Point Roberts, WA and Vancouver, BC - October 2, 2020 (Investorideas.com Newswire) Investorideas.com (www.investorideas.com), a global investor news source covering Artificial Intelligence (AI) brings you today's edition of The AI Eye - watching stock news, deal tracker and advancements in artificial intelligence.

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AI Eye Episode 445: Intel Federal LLC (NasdaqGS: $INTC) Collaborating with Sandia National Labs on Neuromorphic Computing

October 2, 2020

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Today's Column - The AI Eye - Watching stock news, deal tracker and advancements in artificial intelligence

Stocks discussed: (NasdaqGS:INTC) (ASX:BRN)

Intel Federal LLC, a subsidiary of Intel Corporation (NasdaqGS:INTC), announced a three-year agreement with Sandia National Laboratories for a collaboration on neuromorphic computing. According to the press release, "new developments show that neuromorphic computing could also provide value for large, complex computational problems that require real-time processing, problem solving, adaptation and learning." Mike Davies, director of Intel's Neuromorphic Computing Lab, commented:

"By applying the high-speed, high-efficiency and adaptive capabilities of neuromorphic computing architecture, Sandia National Labs will explore the acceleration of high-demand and frequently evolving workloads that are increasingly important for our national security. We look forward to a productive collaboration leading to the next generation of neuromorphic tools, algorithms, and systems that can scale to the billion neuron level and beyond."

BrainChip Holdings Ltd (ASX:BRN) has announced that the company's Chief Development Officer, Anil Mankar, will be presenting "A Neuromorphic Processor for Power Efficient Edge AI Applications" at the Linley Fall Processor Conference 2020 on October 20. Mankar explained:

"Many edge-AI processors take advantage of the spatial sparsity in neural network models to eliminate unnecessary computations and save power. But neuromorphic processors achieve further savings by performing event-based computation, which exploits the temporal sparsity inherent in data generated by audio, vision, olfactory, lidar, and other edge sensors. I look forward to sharing with attendees of the Linley Conference how this unique approach is revolutionizing artificial intelligence at the edge."

Global AI Platform Market to Reach $29.72 Billion by 2026

A report published by Maximize Market Research finds that the global Artificial Intelligence Platform market will grow from $2.36 billion in 2017 to $29.72 billion by 2026 with a compound annual growth rate (CAGR) of 37.2 percent. The report's summary cites propagation in data generation, an increasing demand for AI-based solutions, complexities in the technological infrastructure, and a rising demand for developed and safe platforms across an array of industries as drivers in the market.

Sam Mowers, Investorideas.com

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