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Groupement ADAS : Advanced Driver Assistance Systems
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deep learning
20 mai 2017

4 pillars of Artificial Intelligence that are building the car of the future

4 pillars of Artificial Intelligence that are building the car of the future Artificial Intelligence, autonomous vehicles, Deep Learning – these aren’t just buzzwords. The automotive industry is rapidly changing and in large part, it’s due to user demand....
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31 mars 2017

NEXYAD presenting a methodology for machine learning / deep learning at French railways company SNCF conference

NEXYAD presenting a methodology for machine learning / deep learning at French railways company SNCF conference
NEXYAD presenting a methodology for machine learning / deep learning at French railways company SNCF conference The CEO of NEXYAD presented a methodology for machine learning and deep learning application in real industrial projects. This conference was...
29 décembre 2016

New Pedestrian Detector from Google Could Make Self-Driving Cars Cheaper

New Pedestrian Detector from Google Could Make Self-Driving Cars Cheaper
New Pedestrian Detector from Google Could Make Self-Driving Cars Cheaper Google’s self-driving cars roam the sunny streets of Mountain View, Calif., in public but much of the technology that powers them has never seen the light of day. Yesterday, attendees...
24 décembre 2016

A start-up born out of Stanford just entered the driverless car race with a radical approach

A start-up born out of Stanford just entered the driverless car race with a radical approach
A start-up born out of Stanford just entered the driverless car race with a radical approach Drive.ai, a start-up born out of Stanford's artificial intelligence lab, has officially entered the driverless car arms race. But Drive.ai has no interest in...
20 décembre 2016

A start-up born out of Stanford just entered the driverless car race with a radical approach

A start-up born out of Stanford just entered the driverless car race with a radical approach Drive.ai, a start-up born out of Stanford's artificial intelligence lab, has officially entered the driverless car arms race. But Drive.ai has no interest in...
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14 juin 2016

ADAS and Deep Learning

Intelligence artificielle : Fujitsu innove avec son outil de sécurisation de la conduite automobile, basé sur le " deep learning " Intelligence artificielle : Fujitsu innove avec son outil de sécurisation de la conduite automobile, basé sur le " deep...
15 mai 2016

AI Is Transforming Google Search. The Rest of the Web Is Next

AI Is Transforming Google Search. The Rest of the Web Is Next Giannandrea, you see, oversees Google’s work in artificial intelligence. This includes deep neural networks, networks of hardware and software that approximate the web of neurons in the human...
11 mai 2016

5 Robot Trends to Watch for in 2016 the autonomous car should take into account

5 Robot Trends to Watch for in 2016 the autonomous car should take into account Will this year mark the first drone delivery, or the first time you encounter a robot at work or in your home? We saw significant advancements in robotics and artificial intelligence...
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About us

Groupement ADAS is a Team of innovative companies with over 20 years experience in the field of technologies used in assistance driver systems (design, implementation and integration of ADAS in vehicles for safety features, driver assistance, partial delegation to the autonomous vehicle).

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Thierry Bapin, Pôle Mov'eo
groupement.adas@pole-moveo.org
Follow us : @groupement_adas

Groupement ADAS is empowered by Mov'eo French Automotive competitiveness cluster

Mov'eo-2014

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