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collected by :John Max
- For complimentary access to more information on this analysis and to register for a Growth Strategy Dialogue, a free interactive briefing with Frost & Sullivan's thought leaders click here (http://frost.ly/19c) or send an email to Jana Schoeneborn (jana.schoeneborn@frost.com).By 2025, four levels of self-learning technology will disrupt the automotive industry.Level 4 self-learning car ownership will be vital for new mobility companies, stoking partnerships with original equipment manufacturers (OEMs).
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- Deep learning can disrupt the roadmap of self-driving cars by accelerating toward level 4 autonomous drive, finds Frost & Sullivan's Mobility TeamLONDON, Dec. 15, 2016 /PRNewswire/ -- Self-learning artificial intelligence (AI) in cars is the key to unlocking the capabilities of autonomous cars and enhancing value to end users through virtual assistance.It offers original equipment manufacturers (OEMs) fresh revenue streams through licensing, partnerships and new mobility services.Simultaneously, the use-case scenarios of self-learning AI in cars are drawing several technology companies, Internet of Things (IoT) companies and mobility service providers to the automotive industry.
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- LONDON, Dec. 15, 2016 /PRNewswire/ -- Advancements in biometrics will radically transform the driving experience, health wellness and wellbeing (HWW), and security of vehicles by 2025.As one in three new passenger vehicles begin to feature fingerprint recognition, iris recognition, voice recognition, gesture recognition, heart beat monitoring, brain wave monitoring, stress detection, fatigue monitoring, eyelid monitoring, facial monitoring, and pulse detection.These will be driven by built-in, brought-in and cloud enabled technologies, the automotive biometrics ecosystem will surge ahead.
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follow the latest news of" Industry cars" from different sites to most famous technicals /Frost by 2016-12-15 at 11:58
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Self-Learning AI Poised to Disrupt Automotive Industry Giving Rise to New Business Opportunities
- For complimentary access to more information on this analysis and to register for a Growth Strategy Dialogue, a free interactive briefing with Frost & Sullivan's thought leaders click here (http://frost.ly/19c) or send an email to Jana Schoeneborn (jana.schoeneborn@frost.com).By 2025, four levels of self-learning technology will disrupt the automotive industry.Level 4 self-learning car ownership will be vital for new mobility companies, stoking partnerships with original equipment manufacturers (OEMs).
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Self-Learning AI Poised to Disrupt Automotive Industry Giving Rise to New Business Opportunities /PR Newswire India/
- Deep learning can disrupt the roadmap of self-driving cars by accelerating toward level 4 autonomous drive, finds Frost & Sullivan's Mobility TeamLONDON, Dec. 15, 2016 /PRNewswire/ -- Self-learning artificial intelligence (AI) in cars is the key to unlocking the capabilities of autonomous cars and enhancing value to end users through virtual assistance.It offers original equipment manufacturers (OEMs) fresh revenue streams through licensing, partnerships and new mobility services.Simultaneously, the use-case scenarios of self-learning AI in cars are drawing several technology companies, Internet of Things (IoT) companies and mobility service providers to the automotive industry.
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Biometric Wearables to Disrupt the Automotive Industry
- LONDON, Dec. 15, 2016 /PRNewswire/ -- Advancements in biometrics will radically transform the driving experience, health wellness and wellbeing (HWW), and security of vehicles by 2025.As one in three new passenger vehicles begin to feature fingerprint recognition, iris recognition, voice recognition, gesture recognition, heart beat monitoring, brain wave monitoring, stress detection, fatigue monitoring, eyelid monitoring, facial monitoring, and pulse detection.These will be driven by built-in, brought-in and cloud enabled technologies, the automotive biometrics ecosystem will surge ahead.
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