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Wednesday, June 24, 2020

#AIEye Episode 375: AWS (NasdaqGS: $AMZN) and #FormulaOne (NasdaqGS: $FWONA) Announce Racing Stats Powered by ML, NVIDIA (NasdaqGS: $NVDA) and Mercedes Plan In-Vehicle #AI Computing Infrastructure

#AIEye Episode 375: AWS (NasdaqGS: $AMZN) and #FormulaOne (NasdaqGS: $FWONA) Announce Racing Stats Powered by ML, NVIDIA (NasdaqGS: $NVDA) and Mercedes Plan In-Vehicle #AI Computing Infrastructure

AI Chip Market in Europe to Reach $16.04 Billion by 2027

Point Roberts WA, Vancouver BC – June 24, 2020  – (, 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:AMZN) (NasdaqGS:FWONA) (NasdaqGS:NVDA)

Amazon Web Services (AWS), a subsidiary of Amazon (NasdaqGS:AMZN), and Formula One (NasdaqGS:FWONA), have together announced new racing performance stats for the 2020 season. The “six new, real-time racing statistics,” will leverage “a range of AWS services, including machine learning,” to give fans “more insight into the action on the track with combined driver, race team, and vehicle performance.” Mike Clayville, Vice President, Worldwide Commercial Sales at AWS, explained:

"Formula 1 racing mixes physics and human performance, yielding powerful, but complex data that AWS is helping them to harness. Our existing relationship with F1 has already produced statistics that have brought fans into the race paddocks, and our study of race car aerodynamics is influencing vehicle designs for the 2022 season. This year, we’re thrilled to extend the power of F1 data in the cloud and unlock new insights that help fans understand more of F1’s rich complexity."

NVIDIA Corporation (NasdaqGS:NVDA) is planning to enter a cooperation with Mercedes-Benz to “create a revolutionary in-vehicle computing system and AI computing infrastructure.” Set to roll out in 2024, this will see the fleet of next-gen Mercedes-Benz vehicles enabled with upgradable automated driving functions built on the NVIDIA DRIVE platform. Jensen Huang, founder and CEO of NVIDIA, commented:

“We are excited to work with Mercedes-Benz. It’s the perfect partner for us given its long record of innovation and our strong technical relationship. It’s clear from our extensive discussions with Ola and his team that we share a common vision of the automobile of the future. Together, we’re going to revolutionize the car ownership experience, making the vehicle software programmable and continuously upgradeable via over-the-air updates. Every future Mercedes-Benz with the NVIDIA DRIVE system will come with a team of expert AI and software engineers continuously developing, refining and enhancing the car over its lifetime.”

AI Chip Market in Europe to Reach $16.04 Billion by 2027

A report published by Cue Report finds that the AI Chip market in Europe will grow from $1.25 billion in 2018 to $16.04 billion in 2027 with a compound annual growth rate (CAGR) of 33 percent in the forecast period 2019-2027. An excerpt from the report’s summary outlines drivers in the market:

The considerable investments in artificial intelligence chip start-ups are anticipated to boost the market growth. Real-time consumer behavior insights and increased operational efficiency are driving the adoption of AI across industries that are further driving the growth of the AI chip market. Moreover, the integration of AI chips in edge devices is expected to boost the AI chip market growth in the forecast period. With AI accelerators evolving at an unprecedented rate, new hardware platforms are being optimized to facilitate greater autonomy to edge devices such as mobiles, embedded, and internet of things (IoT) devices. The proliferation of smartphone-embedded AI processors by tech giants like Apple, Samsung, and Google is already gaining traction and driving the growth of [the] AI chip market in edge devices. AI robotics is another noteworthy application of artificial intelligence, which is driving the growth of AI chips in self-driving cars, drones, smart appliances, and industrial IoT.

Sam Mowers,

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