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Monday, November 18, 2019

The #AIEye: Apple (Nasdaq: $AAPL) and Salesforce (NYSE: $CRM) Launch #AI-Powered App, Intel (Nasdaq: $INTC) Unveils oneAPI, Accenture (NYSE: $ACN), Airbus, GE (NYSE: $GE) and Hitachi (OTC: $HTHIY) Join Intel Neuromorphic Research Community

The #AIEye: Apple (Nasdaq: $AAPL) and Salesforce (NYSE: $CRM) Launch #AI-Powered App, Intel (Nasdaq: $INTC) Unveils oneAPI, Accenture (NYSE: $ACN), Airbus, GE (NYSE: $GE) and Hitachi (OTC: $HTHIY) Join Intel Neuromorphic Research Community

Neuromorphic Sensing to Reach $4.7 Billion by 2034 and Neuromorphic Computing to Reach $21.3 Billion by 2034

Point Roberts WA, Vancouver BC – November 18, 2019  – (, 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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Today’s Column- The AI Eye- Watching stock news, deal tracker and advancements in artificial intelligence

Stocks discussed: (NasdaqGS:AAPL) (NYSE:CRM) (NasdaqGS:INTC) (NYSE:ACN) (OTC:EADSY) (NYSE:GE) (OTC:HTHIY)

Apple (NasdaqGS:AAPL) and Salesforce (NYSE:CRM) have announced the launch of two new apps, including the AI-powered redesigned Salesforce Mobile App with features exclusive to iOS and iPadOS. Salesforce Mobile App leverages “the power of Siri and Einstein Voice Assistant”. Bret Taylor, President and Chief Product Officer, Salesforce, commented:

"With Salesforce Mobile, Salesforce and Apple are empowering sales, service and marketing professionals on the go to deliver game-changing customer experiences, powered by AI. And with Trailhead GO, millions more can now skill up for free, anytime and anywhere, to learn in-demand skills and fill the jobs of today and tomorrow."

Intel Corporation (NasdaqGS:INTC) has unveiled oneAPI, “a unified and scalable programming model to harness the power of diverse computing architectures in the era of HPC/AI convergence”, and “a general-purpose GPU optimized for HPC/AI acceleration based on the Xe architecture”. Raja Koduri, senior vice president, chief architect, and general manager of architecture, graphics and software at Intel, explained:

“HPC and AI workloads demand diverse architectures, ranging from CPUs, general-purpose GPUs and FPGAs, to more specialized deep-learning NNPs, which Intel demonstrated earlier this month. Simplifying our customers’ ability to harness the power of diverse computing environments is paramount, and Intel is committed to taking a software-first approach that delivers a unified and scalable abstraction for heterogeneous architectures.”

Intel has announced that Accenture (NYSE:ACN), Airbus (OTC:EADSY), General Electric (NYSE:GE) and Hitachi (OTC:HTHIY) have joined as corporate members of the Intel Neuromorphic Research Community (INRC). An excerpt from the press release reads:

By mimicking the adaptive behavior of natural neural networks, neuromorphic technology promises to provide great gains in computing performance and energy efficiency for demanding applications, ranging from robotics to smart manufacturing to brain-computer interfaces.

Edy Liongosari, chief research scientist at Accenture Labs, explained:

“As artificial intelligence continues to permeate our world, neuromorphic computing has the potential to transform computing infrastructures to harness its potential in new ways. As one of the first commercial research labs working with neuromorphic processors, Accenture Labs is exploring how neuromorphic computing can re-envision how systems learn and behave – to ultimately advance the way we live and work.”

Neuromorphic Sensing to Reach $4.7 Billion by 2034 and Neuromorphic Computing to Reach $21.3 Billion by 2034

A report from research & strategy consulting company Yole Développement titled Neuromorphic Sensing and Computing 2019 finds that the market for Neuromorphic Sensing will grow from $43 million in 2024 to $4.7 billion in 2034, while that of Neuromorphic Computing will grow from $69 million in 2024 to $21.3 billion by 2034. An excerpt from the report reads:

From the technology point of view, all the attributes of a disruptive scenario is here. The current deep learning paradigm only serve certain uses cases. Neuromorphic approaches as defined by this research have their own specific benefits which will address new use cases and may grow unnoticed before they become mandatory and ultimately dominant. This report is a first approach of technology & market prediction which could serve as a roadmap for the next decade as the next AI revolution unravels.

Sam Mowers,

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