23 août 2018

Explainable Artificial Intelligence (XAI) : a new trend for Autonomous Driving

Explainable Artificial Intelligence (XAI) : a new trend for Autonomous Driving Autonomous Driving is a field of application of Artificial Intelligence, and especially of Deep Learning. But the fact is that Deep Learning cannot explain its behaviour. For Autonomous Driving, in case of accident, it is necessary to understand if the Autonomous Vehicle made a mistake and if yes, to know what this mistake is, why, and how to fix it. Then it is necessary to develop a new kind of Artificial Intelligence system called : eXplanable... [Lire la suite]

28 mai 2018

DEEP LEARNING FOR ONBOARD APPLICATIONS: HIDDEN TRAP

DEEP LEARNING FOR ONBOARD APPLICATIONS: HIDDEN TRAP Now Deep Learning is used in onboard detection and pattern recognition applications. NEXYAD for instance uses Deep Learning in RoadNex (road detection without need of markings + detection of free space), and ObstaNex (obstacles detection). But if you do not analyse your INDUSTRIAL project in detail, you may have bad surprises : everone thinks he/she knows that the more numerous the training examples, the most accurate the KPIs. Let's say you used 1 billion km to train and... [Lire la suite]
11 août 2017

Artificial Intelligence for Automotive Applications

Artificial Intelligence for Automotive Applications Software, Hardware, and Services for Autonomous Driving, Personalized Services, Predictive Maintenance, Localization and Mapping, Sensor Data Fusion, and Other Use Cases: Market Analysis and Forecasts REPORT DETAILS PRICE: Log In to View PAGES: 63 TABLES, CHARTS,     & FIGURES: 69 PUBLICATION DATE: 2Q 2017 Log In to Purchase Report DOWNLOADS Register or Log In to download a free Executive... [Lire la suite]
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. In these smarter, safer cars, it’s your interactions that will implicitly train the machine to learn your likes and dislikes – something made possible through these four pillars of AI. The automotive industry is rapidly changing. Autonomous and semi-autonomous driving are key... [Lire la suite]
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   The CEO of NEXYAD presented a methodology for machine learning and deep learning application in real industrial projects. This conference was organized by the French Railways company SNCF. Another startup of the MOV'EO Groupement ADAS presented a neural networks-based project : Global Sensing Technology.  
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 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 at the IEEE International Conference on Robotics and Automation (ICRA) in Seattle got a rare glimpse into a new safety feature the tech giant is working on. Anelia Angelova, a research scientist at Google working on computer vision and machine learning, presented a new... [Lire la suite]

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 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 building an actual, self-driving car. Rather, as co-founder and president Carol Reiley told Business Insider, the start-up plans to sell "the brains of the car." That car brain comes in the form of sensors, LiDAR, and Radar like many other companies are using, but with one... [Lire la suite]
Posté par NEXYAD à 07:16 - - Commentaires [0] - Permalien [#]
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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 building an actual, self-driving car. Rather, as co-founder and president Carol Reiley told Business Insider, the start-up plans to sell "the brains of the car." That car brain comes in the form of sensors, LiDAR, and Radar like many other companies are using, but with one... [Lire la suite]
Posté par NEXYAD à 08:16 - - Commentaires [0] - Permalien [#]
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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 learning "http://www.auto-innovations.com  
Posté par Gilles Schaefer à 18:55 - - Commentaires [0] - Permalien [#]
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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 brain. By analyzing vast amounts of digital data, these neural nets can learn all sorts of useful tasks, like identifying photos, recognizing commands spoken into a smartphone, and, as it turns out, responding to Internet search queries. In some cases, they can learn a task... [Lire la suite]