12 avril 2019

NEXYAD CEO SPEAKER AT A ROTARY+ECOLE DES MINES PARITECH CONFERENCE ON ARTIFICIAL INTELLIGENCE

NEXYAD CEO SPEAKER AT A ROTARY+ECOLE DES MINES PARITECH CONFERENCE ON ARTIFICIAL INTELLIGENCE Very intersting conference the 10th of April 2019, Ecole des Mines de Paris (Paritech), in Paris. 4 speakers from :  . GOOGLE . MICROSOFT . NEXYAD . STIM The focus was Artificial Intelligence (AI). NEXYAD CEO presented the applications of AI to Autonomous driving : . perception . fusion . situation understanding . situation holding . decision making . actuators + a disruption (SafetyNex technology) that consists in... [Lire la suite]

19 mars 2019

HIGH LEVEL FUNCTIONAL SPECIFICATION OF A SELF-DRIVING VEHICLE (POINT TO POINT, ANY DESTINATION) : WHAT ABOUT DRIVING RISK ?

HIGH LEVEL FUNCTIONAL SPECIFICATION OF A SELF-DRIVING VEHICLE (POINT TO POINT, ANY DESTINATION) : WHAT ABOUT DRIVING RISK ? A general usage self-Driving vehicle is an object that picks you at a point A (that may be anywhere) and takes you to a point B (that may be any reachable point from A), as fast as possible, in comfort and safety.And that's it (main features).   Now let's see each feature : a . as far as possible : it is the actual efficiency of transportation, as mobility is a key element of Economy b . comfort : it... [Lire la suite]
11 mars 2019

Now for two-wheels SafetyNex computes onboard at each moment the riding risk that the rider is currently taking

Now for two-wheels SafetyNex computes onboard at each moment the riding risk that the rider is currently taking Then it becomes the only software component that computes onboard, in real time, at each moment, the risk that the RIDER is currently taking. This new version comes after 2 years of the collaborative research project BIKER ANGEL of the National French Research Program FUI. Reminder : it is when Driving behaviour is inappropriate to Driving context that the risk appears. Contrary to what many people think : . there is... [Lire la suite]
03 février 2019

‘Explainable Artificial Intelligence’: Cracking open the black box of AI

‘Explainable Artificial Intelligence’: Cracking open the black box of AI At a demonstration of Amazon Web Services' new artificial intelligence image recognition tool last week, the deep learning analysis calculated with near certainty that a photo of speaker Glenn Gore depicted a potted plant. “It is very clever, it can do some amazing things but it needs a lot of hand holding still. AI is almost like a toddler. They can do some pretty cool things, sometimes they can cause a fair bit of trouble,” said AWS’ chief architect in his... [Lire la suite]
26 décembre 2018

NEXYAD excutive pitch : Driving risk computing and artificial perception for intelligent véhicule

NEXYAD excutive pitch : Driving risk computing and artificial perception for intelligent véhicule Here is th executive pitch of NEXYAD : Artificial Intelligence Algorithms, markets, business model, mission. (we save lives) NEXYAD provides the only software module in the world that compute at each moment, and with anticipation, the risk that the driver is taking. Driver may be human or not. . human driver : SafetyNex is used to alert driver in real time (Vocal Driving Assistant), letting time to slow down before dangerous... [Lire la suite]
11 décembre 2018

NEXYAD presenting a disruptive approach of real time driving risk assessment for car insurance, fleets, ADAS, autonomous driving

NEXYAD presenting a disruptive approach of real time driving risk assessment for car insurance, fleets, ADAS, autonomous driving The CEO of NEXYAD was a speaker in the car electronics congress CESA Automotive (5th and 5th of December 2018, in Versailles, France). The presentation was about the major difference between ADAS and Autonomous Driving mindsets, even if the skills (sensors, fusion, ...) are quite the same. In particular, was presented the graph tree of driving situations :   Then it was explained that... [Lire la suite]

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]
30 juin 2018

NEXYAD at the Autonomous Vehicle Conference in Paris : REGARDS CROISES ET DIALOGUE SUR LE VEHICULE AUTONOME

NEXYAD at the Autonomous Vehicle Conference in Paris : REGARDS CROISES ET DIALOGUE SUR LE VEHICULE AUTONOME NEXYAD presented a paper to this conference (organized by SIA). Presentation was about SafetyNex, an Artificial Intelligence algorithm that gives Autonomous Vehicles the awareness of risk, and that makes them more robust to unknown situations, safer, and more efficient. See SIA link : http://www.sia.fr/evenements/115-regards-croises-dialogue-sur-vehicules-autonomes?lng=en  
22 juin 2018

NEXYAD presenting Artificial Intelligence for smart mobility at TNP forum

NEXYAD presenting Artificial Intelligence for smart mobility at TNP forum The consulting company TNP presented Artificial Intelligence applications to smart mobility, and especially their SafetyNex AI algorithm : real time onboard driving risk assessment. NEXYAD explained how this AI algorithm is completely disrupting the autonomous vehicle concept : instad of imaging millions a scenarios of risky situations and finding the proper behaviour of the autonomous car, it is now possible to compute driving risk and control it with simple... [Lire la suite]
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12 juin 2018

Intelligent car with anticipation and awareness of its driving risk

Intelligent car with anticipation and awareness of its driving risk It is now possible with the artificial intelligence (AI) algorithm of NEXYAD SafetyNex, to give the awarenes of driving risk to an autonomous car :