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 :  
03 juin 2018

Example 1 of scenario where accurate detection and emergency braking can't avoid accident

Example 1 of scenario where accurate detection and emergency braking can't avoid accident NEXYAD recently put to the market the only Artificial Intelligence module in the world that does real time risk assessment. The video below shows a typical use case where accurate detection and emergency braking cannot avoid accident and where only SafetyNex can save lives.      
23 mai 2018

RELATIONSHIP BETWEEN DRIVING RISK YOU TAKE AND ACCIDENT : THE "S" CURVE THEORY

RELATIONSHIP BETWEEN DRIVING RISK YOU TAKE AND ACCIDENT : THE "S" CURVE THEORY Let's say in a manufacture there is a very dangerous machine that may grind up your hand. If you are 10 km away from the machine, risk is "very" low. If you are 1 km away from the machine, risk is the same. If you are 10 m away from the machine ... risk is still very low ... but if you come closer (let's say 10 cm), suddenly risk becomes high ! This is not linear. In road safety, the Artificial Intelligence algorithm SafetyNex estimates 20 times per second... [Lire la suite]
07 avril 2018

NEW ARCHITECTURE FOR AUTONOMOUS DRIVING INVOLVING DRIVING RISK ASSESSMENT

NEW ARCHITECTURE FOR AUTONOMOUS DRIVING INVOLVING DRIVING RISK ASSESSMENT Architectures of Autonomous Driving systems use to be feed forward open loop chains that are supposed to give a good solution to any problem. Inputs come from sensors that are fusionned in order to bring a good situation understanding. Then a decision making system sends what to do to actuators. This works fine, but of course, whatever the number of validation scenarios, there will always exist cases where the glabal system is not adapted to the situation. ... [Lire la suite]