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The AI Eye: Sony (NYSE: SNE) Developing LiDAR for Autonomous Vehicles and Klipsch (NasdaqGS: VOXX) Introducing AI Embedded Earbuds at CES


Point Roberts, WA and Vancouver, BC - January 3, 2020 ( Newswire) (, 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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The #AI Eye: Sony (NYSE: $SNE) Developing LiDAR for Autonomous Vehicles and Klipsch (NasdaqGS: $VOXX) Introducing AI Embedded Earbuds at CES


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

Stocks discussed: (NYSE:SNE) (NasdaqGS:VOXX)

Sony Corporation (NYSE:SNE) is developing a silicon-based vision sensor for autonomous vehicles. Specifically, Sony is pursuing the development of LiDAR (Light Detection and Ranging) vision-sensing technology, which tech blog Engadget describes as:

Laser-based LiDAR systems piece together a high-res, real-time 3D map of the surrounding area, which car systems can use to better understand everything happening nearby and react accordingly. The sensors work in concert with radar and cameras to help cars navigate with optimal safety.

Klipsch Audio Technologies, a subsidiary of VOXX International Corporation (NasdaqGS:VOXX), is introducing new true wireless earbuds at CES, according to a report from Engadget. Significantly, the company's T10 True Wireless and T5 True Wireless ANC smart earphones will both include AI. The article concedes that "the details about the AI are limited", but that they will include "a built-in operating system with embedded artificial intelligence."

Global Machine Learning Market to See 34.19% CAGR from 2019-2027

A report from Research and Markets finds that the Global Machine Learning market will exhibit a compound annual growth rate (CAGR) of 34.19 percent in the forecast period 2019-2027. An excerpt from the report description outlines the market's growth projections:

The expanding data volume across the world, significant developments in the field of artificial intelligence & machine learning and the widening applications of ML in different end-use industries are pushing the growth of the global market for machine learning. Moreover, the incorporation of AI & ML with Big Data, rise in the adoption of IoT-connected devices, smart robot development and the mushrooming of start-ups in ML are factors providing potential for market growth.

The hardware & software systems within a machine learning system are at risk of encountering numerous problems, which may lead to its malfunctioning, which, in turn, would disrupt the ML services. Also, machine learning algorithms have several applications, which make them sensitive to various data security threats. Thus, failure of components and inability to secure private & sensitive data are factors restraining market growth. Further, computational and technological barriers also pose a challenge for the growth of the machine learning market.

Sam Mowers,

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