NEXYAD Automotive & Transportation Newsletter #34, September 29th, 2021

Headlines :

– Nexyad CEO Editorial

– HERE360 Article about Nexyad Cognitive AI for Road Safety

– SIA Study Day: AI Applied to AV

– Democar Nexyad DREAMOTOR1 

– New Book : From AI to Autonomous and Connected Vehicles 

– Chair VAC at INSA Rouen

– Press about Nexyad

NEXYAD is starting a new phase of company development, based on the upcoming massive deployment of our on-board artificial intelligence software modules for mobility and road safety.</ aftermarket distributors, and in particular BRIGHTMILE (UK), and MONTBLEU Technologies (India) are starting deployments for vehicle fleets (trucks, cars, two-wheelers), insurers, and driving schools. These deployments are starting fast because they bring by two main value creations: . reduction in costs for operations: reduction in the number of accidents by at least 25% which reduces cost for operations especially for fleets and insurers. . reduction of road accident social impact and helping improve skills of drivers and future drivers that become aware of driving risk they take in every situation.

In the sector of new vehicles, NEXYAD is integrating its AI for real-time aggregation of all data available in the vehicle for estimation of the prudence of driving behavior in regards to context. This integration has already started with several OEMs in Europe, and NEXYAD decided to develop its own demonstration vehicle, DREAMOTOR1, to show its excellence.

Since this AI called SafetyNex aggregates data from numerous sources, we are opening this demo to other high-tech SMEs on two main domains:
. data acquisition: sensors, telecommunications systems, etc.
. HMI and new materials for the vehicle cockpit
To date, the companies that have signed agreement to integrate their technologies into DREAMOTOR1 are listed below. 
Partnership announcements with the French research cluster on automotive and mobility NEXTMOVE of which NEXYAD is a member should soon be published.

NEXYAD’s other AI modules, dedicated to camera perception, also have deployment prospects:
. RoadNex and ObstaNex, which detect respectively taxiway and obstacles (pedestrians, vehicles, etc.), have two main markets: on the one hand applications in the world of railways, and on the other hand a real-time application embedded in the centralized architecture of future vehicles for on-the-fly images labeling and to allow building of complex functions. Those functions cannot be achieved with current perception solutions because they do not deliver intermediate data diagnosys only).
. VisiNex, which measures the available visibility defined as the probability of being able to detect objects in the scene taking into account visual quality (fog, night, snow, etc.), is currently in view to carry out two tasks: on the one hand, give a score usability of the cameras for sensor fusion stages, and on the other hand, a detection of dust accumulated on the cameras.

NEXYAD’s deep competence in AI was credited, through our participation to two major events:
. SIA congress « AI applied to Autonomous and Connected Vehicle »: CEO of NEXYAD was a member of the organizing committee of this congress and talked during round table this month (see article below)
. release of the scientific book on AI « From AI to Autonomous and Connected vehicle » published in the USA (ed Pr. Abdelaziz Benshair & Thierry Bain) at editions ISTE-WILEY, of which NEXYAD wrote the first chapter. 

As most of you have already seen in our various publications, in July we signed a very strong partnership with the digital maps provider HERE Technologies to jointly develop Road Safety solutions, by associating AI softwares and competence ​​of NEXYAD , to the high quality of data and services brought by HERE maps. (see article below)
It is then in this very positive context that this newsletter is sent to you, we are still open to new collaborations that would give us the opportunity to go on saving lives.

Gerard, CEO of NEXYAD « We Save Lives »

​

 

Gérard YAHIAOUI, CEO of Nexyad, participated to the round table discussion during this study day « AI Applied to AV », the september 16th at Marne la Vallée (near Paris). Driver assistance and Autonomous Vehicles (AV) are an iconic theme for AI, which drives innovations as well as applications. The contributions of AI are rich and varied in several fields of application, such as environment perception or real-time control of the feedback loop on the effects of decisions, for examples. The ambition of this Study Day was to identify, on the basis of the emblematic subject of Autonomous Vehicle (AV), how these new approaches using AI can be integrated within the automotive industry. Beyond the AI algorithms used, the role of data is also an essential element, inseparable from AI, whether for the learning of models, the quality of data and their labeling, the validation of models, even acceptability for users. The SIA is (Société des Ingénieurs de l’Automobile) or Automotive Engineers Society in France. From the left: Prof. Fabien Moutarde, director of the Centre of  Robotics at Mines ParisTech; Luc Bourgeois, Expert Leader Systems Control at Renault Group; Frédéric Charon, Chief Executive of SIA; G. Yahiaoui, CEO of Nexyad; Fabrice Herveleu, Safety Regulation senior expert at UTAC

Gérard YAHIAOUI, Nexyad CEO, participate to this new publication from ISTE-WILEY.  

From AI to Autonomous and Connected Vehicles

Advanced Driver-Assistance Systems (ADAS)
Volume 2 – Digital Science SET Coordinated by Abdelkhalak El Hami

http://www.iste.co.uk/book.php?id=1800  

Contents  1. Artificial Intelligence for Vehicles, Gérard Yahiaoui. 2. Conventional Vision or Not: A Selection of Low-level Algorithms, Fabien Bonardi, Samia Bouchafa, Hicham Hadj-Abdelkader and Désiré Sidibé. 3. Automated Driving, a Question of Trajectory Planning, Olivier Orfila, Dominique Gruyer and Rémi Sainct. 4. From Virtual to Real, How to Prototype, Test, Evaluate and Validate ADAS for the Automated and Connected Vehicle?, Dominique Gruyer, Serge Laverdure, Jean-Sébastien Berthy, Philippe Desouza and Mokrane Hadj-Bachir. 5. Standards for Cooperative Intelligent Transport Systems (C-ITS), Thierry Ernst. 6. The Integration of Pedestrian Orientation for the Benefit of ADAS: A Moroccan Case Study, Aouatif Amine, Abdelaziz Bensrhair, Safaa Dafrallah and Stéphane Mousset. 7. Autonomous Vehicle: What Legal Issues?, Axelle Offroy.

Nexyad participates to the pedagogic chair VAC (Vehicle Autonomous & Connected) at INSA Rouen under supervision of Prof. Abdelaziz Bensrhair. This chair is the result of partnership between French Automotive Research Cluster Nextmove and INSA Rouen (National Institute of Applied Sciences).

Gerard YAHIAOUI presenting Nexyad AI work about AV

 

Maximum speed recommended for a specific vehicle at a specific time

Nexyad’s real-time data aggregation platform provides two output values ​​20 times every second: the lack of caution of the driver and the maximum speed recommended given the road conditions – legal speed limit, road roughness, topography of the road, weather, and traffic. Nexyad bases its analysis on several thousand road accident reports, using a set of rules from modern hybrid AI which includes knowledge-based systems, deep learning, neural gas, PAC (Possibly Approximatively Correct) learning, game theory, reinforcement learning, possibility theory and fuzzy logic. By recommending a ‘maximum cautious speed’ based on real-time data and context-specific to every single vehicle, driver and driving environment, Nexyad’s approach goes much further than the European requirement for vehicles to be aware of the legal speed limit on each road segment (Intelligent Speed Assist). Nexyad’s safety coach called SafetyNex acts as a true co-pilot for the driver as it provides real-time guidance so as to anticipate possible emergency situations ahead that may lead to an accident. This proactive coaching activates while driving and has been demonstrated to reduce accident rates by at least 25%. Read full article on GeoSpatialWorld.net

Nexyad and HERE Technologies Deploy Next-Gen cognitive AI to Improve Vehicle Safety

Paris, France – Nexyad, an embedded, real-time platform for aggregating on-board data, and HERE Technologies, the leading location data, and technology platform, have teamed up to bring cognitive Artificial Intelligence (AI) to the world of road safety. Nexyad employs cognitive AI to aggregate and interpret extensive data sources in a vehicle in real-time to determine whether a particular driving behavior is appropriate given the surrounding context. This assessment can be easily delivered to a driver via mobile phone and is calculated using only four sets of data: HERE map, Global Navigation Satellite System, electronic horizon, and acceleration. Nexyad’s platform is also scalable, with the ability to aggregate data from Advanced Driving Assistant Systems (ADAS) sensors such as camera, radar and lidar, weather (visibility and temperature), and traffic data. Read full article on mmindia.co.in

NEXYAD Automotive & Transportation Newsletter #33, July 13th, 2021

Headlines :

– Nexyad CEO Editorial

– Press Release on HERE & NEXYAD Partnership

– Nexyad CEO interview on Mobility TV 

– Press about Nexyad

– Dreamotor One, the Nexyad project of demo car

This month of July 2021 is particularly positive for NEXYAD since the company HERE Technologies has just announced our partnership. HERE posted a press release on its website, presenting the cognitive AI of NEXYAD, for the aggregation of all the data available on board a vehicle, and the estimation, 20 times per second, of the level of prudence of driving in view of the context. See: Nexyad and HERE improve vehicle safety with next generation, cognitive artificial intelligence | HERE From this assessment, we deduce the risk of driving, and the maximum speed at any time, which guarantees sufficient caution. The applications of this AI are numerous:

• for fleets and insurance, in aftermarket, it is on the one hand to be proactive, to coach the driver during the journey to avoid at least 25% of accidents (smartphone app, telematics box, dashcam)
• for new vehicles, there is of course the same safety coach application, but in addition, predictive ACC (a system that automatically manages the speed of the vehicle depending on the context, for example which slows down when approaching a intersection, or slowing down in a narrow street where kids play football on the sidewalk, like good drivers do), and the autonomous vehicle « aware » of the risk it is taking. Today, our AI takes advantage of very high quality maps from HERE Technologies, which improves the quality of our assessment of prudence and risk. This partnership heralds applications around the world, with ambitious global deployment.

• Nexyad aggregates extensive data sources in a vehicle, including HERE data, in real time to assess driving behaviour given the surrounding context
• Based on this assessment, Nexyad recommends a maximum speed and delivers a driving score
• Nexyad’s technology is already being used by Brightmile in the UK, Montbleu in India and Milla in France

July 6, 2021

Paris and Amsterdam – Nexyad, the embedded, real-time platform for aggregating on-board data, and HERE Technologies, the leading location data and technology platform, are now working together to apply cognitive AI to road safety.

On-board data

Nexyad uses cognitive AI to aggregate extensive data sources in a vehicle in real time and interprets them to assess whether a certain driving behaviour is appropriate given the surrounding context. Nexyad’s assessment, that can easily be delivered to a driver via a mobile phone, can be calculated from four sets of data only: HERE map, Global Navigation Satellite System, electronic horizon and acceleration. Nexyad’s platform is also scalable and can aggregate data from Advanced Driving Assistant Systems (ADAS) sensors to include camera, radar and lidar, weather (visibility and temperature), and traffic data.

Maximum speed recommended for a specific vehicle at a specific time

Nexyad’s real-time data aggregation platform provides two output values 20 times every second: the lack of caution of the driver and the maximum speed recommended given the road conditions – legal speed limit, road roughness, topography of the road, weather, and traffic. Nexyad bases its analysis on several thousand road accident reports, using a set of rules from modern hybrid AI which includes knowledge-based systems, deep learning, neural gas, PAC (Possibly Approximatively Correct) learning, game theory, reinforcement learning, possibility theory and fuzzy logic.

By recommending a “maximum cautious speed” based on real-time data and context-specific to every single vehicle, driver and driving environment, Nexyad’s approach goes much further than the European requirement for vehicles to be aware of the legal speed limit on each road segment (Intelligent Speed Assist). Nexyad’s safety coach called SafetyNex acts as a true co-pilot for the driver as it provides real-time guidance so as to anticipate possible emergency situations ahead that may lead to an accident. This proactive coaching activates while driving and has been demonstrated to reduce accident rates by at least 25% (Impact assessment on road accident rate reduction of NEXYAD cognitive AI SafetyNex, available on demand).

A risk score for drivers and autonomous shuttles

Nexyad provides drivers with a score that reflects the risk associated with their driving behavior. Nexyad’s platform is being used by insurers to provide recommendations to drivers and generate a risk profile. For example, Brightmile, a start-up incubated by Kamet, AXA’s insurer tech studio, is using Nexyad’s SafetyNex software as one of the parameters of their smartphone-based telematics solutions for fleets. India’s Montbleu also relies on Nexyad’s SafetyNex for its smartphone-based app ‘ROAD-Drive it Safe’. Milla, the French autonomous electric shuttle, uses SafetyNex to adapt vehicle speeds according to driving conditions and alerts the service operator (on-board and/or off-board) to take appropriate action when the level of risk is estimated too high.

Nexyad has started to integrate the HERE HD Live Map to provide OEMs with Predictive Automotive Cruise Control services whereby appropriate speeds are not only being recommended but automatically implemented. Moving forward, connected vehicles will use SafetyNex to assess the level of caution of their own driving and will be able to adopt the appropriate speed even in unknown road conditions.

“We found that the maps from HERE are accurate to the centimetre and constantly updated to the second. Every detail counts for us – the topography of the road, the exact positioning of the crossing, the location of a school. With our mission being to save lives, we cannot settle for anything less than the best,” says Gérard Yahiaoui, CEO of Nexyad.

“Nexyad’s SafetyNex software is one of a kind – not only does it provide a score for the lack of caution of the driver, based on the environment in real time, it also recommends an appropriate driving speed. This is the future for Predictive Automotive Cruise Control systems, insurers and autonomous vehicles,” says Gilles Martinelli, Director of Automotive at HERE Technologies. Demos of Nexyad’s safety coach SafetyNext can be found here and here.

Media Contacts

Adrianne Montgobert
+49 151 72 11 67 81
adrianne.montgobert@here.com

Gerard Yahiaoui
gyahiaoui@nexyad.net

About HERE Technologies
HERE, a location data and technology platform, moves people, businesses and cities forward by harnessing the power of location. By leveraging our open platform, we empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. To learn more about HERE, please visit here.com and 360.here.com

About Nexyad
Nexyad is a Paris-based AI start-up founded by former professors and researchers of AI and applied maths, specialized in road safety. We propose a unique next generation hybrid cognitive AI that improves road safety, avoids emergency situations and road accidents, and saves lives. We help our customers integrate our technology into their valuable products for insurance & fleets, for automotive Safety Coach or Predictive ACC, and for Autonomous Vehicles « aware » of their level of caution in driving regardingcontext and able to adapt to unknown situations to keep caution level high enough.

See press release

Mobility TV – OASIS, when data improves road safety

When data, artificial intelligence and vehicle-to-vehicle connectivity improve road safety, that is the goal of the OASIS project. Fruit of the cross collaboration of 3 French SMEs, each expert in their field. A collaboration made possible thanks to the NextMove competitiveness cluster. An interview conducted by Pierre de Vilno, with Marc Charlet director at NextMove, Frédéric Mathis CEO of MILLA Group, Thierry Ernst CEO of YoGoKo, and Gérard Yahiaoui CEO of Nexyad.

Mobility TV – OASIS, quand les data améliorent la sécurité routière

Quand les données, l’intelligence artificielle et la connectivité entre véhicules améliorent la sécurité routière, c’est l’objectif du projet OASIS. Fruit de la collaboration croisée de 3 PME françaises expertes chacune dans leur domaine. Une collaboration rendue possible grâce au pôle de compétitivité NextMove. Une interview conduite par Pierre de Vilno, avec Marc Charlet Directeur Général de NextMove, Frédéric Mathis PDG de MILLA Group, Thierry Ernst PDG de YoGoKo, et Gérard Yahiaoui PDG de Nexyad. See the original video

Links to different news about Nexyad in world media :

Automotive world: Nexyad and HERE improve vehicle safety with next generation cognitive artificial intelligence

Traffic Technology Today: Nexyad and HERE improve vehicle safety with next generation cognitive artificial intelligence

DécryptaGéo: Nexyad et HERE améliorent la sécurité routière grâce à l’intelligence artificielle cognitive

Nexyad和HERE合作 通过下一代认知AI提高车辆安全性

Auto Innovations: Nexyad et HERE améliorent la sécurité routière grâce à l’intelligence artificielle cognitive

Industrie Mag: Nexyad et HERE améliorent la sécurité routière grâce à l’IA cognitive

AI Authority: Nexyad and HERE improve vehicle safety with next generation cognitive artificial intelligence  

TU Auto: HERE claims next gen cognitive ai for driver rating

Autonomous vehicle international: Nexyad and HERE partner on next generation cognitive artificial intelligence

National Computrade News: Nexyad and HERE improve vehicle safety with next generation cognitive artificial intelligence

Telematics News: Nexyad and HERE improve vehicle safety with next generation cognitive artificial intelligence

Nexyad和HERE通过认知AI改善道路安全

Nexyad launchs Dreamotor One a demo car that will demonstrate excellence and innovations of SMEs and startups embarking testers in real situations on open roads around Congresses and events about Automated Driving, and Connected Mobility in all Europe. In France, Nexyad signed a partnership with Nextmove Demo ICIM project that will show the vehicle on all events the  cluster is involved with. The values promoted by Dreamotor One are Electric Mobility, Road Safety, Artificial Intelligence, Ecology & Environment, Startups & SMEs.

Nexyad will integrate its cognitive AI which aggregates all the data available on board and which calculates 20 times per second: (unique features in real time, making it possible to correct driving behavior with anticipation, to avoid emergency situations, and by way of consequence, accidents).

• The « safety coach » in manual driving: Nexyad’s AI is used informatively to coach the driver while driving, by offering anticipatory actions in order to avoid potential emergency situations as much as possible
• “Predictive ACC” (driving delegation, by pressing an ACC button): the vehicle manages its speed automatically to remain cautious. This mode is automatically disengaged if the driver acts on the vehicle. allows to control an ACC which becomes predictive (slows down before difficulties to help the driver)
• The vehicle can prove its level of caution at any time when it is delegated to drive

We encourage Startups and SMEs interested to contact us in order to put their high valuable technologies in the Dreamotor One.

NEXYAD Automotive & Transportation Newsletter #32, June 8th, 2021

Headlines :

– Nexyad CEO Editorial

– Safety Coach for car manufacturers by SafetyNex NEXYAD

– Article and Video « Oasis is a total and integrated vision of road safety » by l’Automobile & l’Entreprise 

– NEXYAD CEO interview on top french RADIO Europe 1

– The JournalAuto.com discussing on government ordinances regarding Autonomous Vehicle data

– The Independant News Company foodnewstoday24 takls about OASIS  Project

SafetyNex is the first and unique on-board hybrid AI platform that aggregates in real time all the data available on board (static as dynamic) in the vehicle and calculates 20 times per second a level of caution, a value of driving risk, to deliver alerts, the maximum speed not to be exceeded in order to remain cautious, given the driving context (here and now).

The « Safety Coach » application is a variation of SafetyNex integrated into the vehicle and which benefits from the available input data (automotive quality). HMIs can, of course, differ from one OEM to another. The common thread is that they are proactive safety coaches: coaching takes place during the trip, a few seconds before potential difficulties, and advises the driver to slow down (for example), instead of doing so after the trip.

Important: this does not prevent the application from offering a debriefing after the trip which is suitable for professional drivers, as well as for privates. In the image below, we can see the value of the risk of a trip (level of lack of caution). As our risk scale has been calibrated with road safety experts from 19 countries, 95% of global accidents happen between 90% and 100% risk taking.

Proactivity of the Safety Coach

The Safety Coach is proactive, he doesn’t just send summaries, he interacts in real time (HMI to be developed as part of an OEM application, one of the avenues being integration into the navigation system): when the driver crosses the value 90%, it is important to alert it. This alert (red) is not an emergency alert, it is an anticipatory alert ultimately expressing « you are being reckless ».

The driver then has time to take his/her foot off the accelerator (in general), and to return to safe driving, without stress and without loss of comfort. In doing so, it decreases the bad luck of finding itself in an emergency situation that would trigger safety ADAS (such as emergency braking, for example). You can see a yellow-orange line called « yellow alert » or « orange alert ». We recommend leaving the setting of this alert in the hand of the driver: if the driver feels reassured by « talkative » assistance, then he will descend the yellow line. If, on the contrary, the driver does not like interfaces that interact too much with him, he will set the line high enough. In the latter case of adjustment, we can for example place the yellow line at 80%, which makes it possible to be alerted just before the red threshold of 90% and thus avoid exceeding it.

Behavioral coaching and profiling

At the end of the trip, our Safety Coach offers statistics returned to the driver, which is complementary to proactive coaching. These data make it possible to comprehensively assess the behavior and the nature of driving: it is the driver’s signature.

Our technology calculates a detailed signature that we restore in a summary, partial and synthetic way, with a « gamming » aspect.

For example: (case of a real test run in Normandy).

An overall safe driving score.

We developed this rating with our panel of 3,500 testers: it varies analogicaly with the level of caution. We have tried a lot of settings, and have opted for a rating that always gives the impression of being rather high, even if we only win « cups » (bronze – silver – gold) from 92% (out of 100%).  

Safety Coach and gamification

In order for the driver to want to play, he must be able to « win ». We have added a “facebook” button to our demo app: a sentence is automatically published on the user’s facebook (if they have accepted the connection), and only when the driver has won a cup: “I am a safe driver, today I won the bronze cup on a trip with the SafetyNex road safety tool ”. This part is there to suggest « gamification » or even incentive ideas to OEMs. An interesting incentive is the voucher at the car manufacturer brand’s store.

Safety Coach trip data

Also on our demo app (which is made to give ideas), we also offer the following data:

Driver knowledge

We are the only ones to offer this data:

• the safe driving score is the one displayed on the « cup » page
• anticipation is the driver’s ability to generate red alerts as little as possible
• the self-confidence expressed on a trip depends on the most frequent level of risk: if the driver regulates his risk around 60% he has expressed greater self-confidence than that of a driver who has regulated his risk around 50 %.
• driving skills: which represents the ability of a driver to reproduce his risk-taking identically throughout the trip. It is then easy to distinguish a pilot from a novice driver.

Tips for improving

Then, we propose a view of the risk on the duration of the trip:

The driver can visualize when he exceeded the yellow /orange threshold, and also threshold for red alerts, and what the difficulties were in front of the vehicle.

Finally, we give the driver a detailed coaching sentence:

This coaching phrase is « scalable » depending on the number of different variables that we want to be able to generate and the desired level of detail:

• the safe driving score
• the anticipation score
• the self-confidence
• the driving skills score
• the types of infrastructure that gave rise to an alert,
• etc…

The processing of the above variables makes it possible to generate approximately 1.000 different sentences, and if we decide to generate 3 equivalent sentences (different formatting but same coaching) per case, we then have 3.000 sentences: this gives the feeling to the driver that vehicle is « talking to him ». The « robot » effect is completely erased. We noted during our panel test that this is very important for the experience of the user who does not like to find the same advice.

« Président de Nexyad, qui a développé une IA cognitive globale, Gérard Yahiaoui nous présente le projet Oasis qui réunit aussi Yogoko, spécialiste des télécoms appliqués à la sécurité, et Milla Group, qui développe des navettes autonomes de dernière génération. Vers la fin des accidents ? » « Toujours aussi brillant et pédagogue, Gérard Yahiaoui nous explique les détails du projet Oasis qui s’est formé dans le cadre de Nextmove (ex Mov’eo) : « Il faut le souligner car Nextmove est pleinement dans son rôle en créant des échanges entre des entreprises aux expertises variées et en faisant naître des projets ». CEO of Nexyad, which has developed a global cognitive AI, Gérard Yahiaoui presents the Oasis project, which also brings together Yogoko, a specialist in telecommunications applied to safety, and Milla Group, which develops the latest generation of autonomous shuttles. Towards the end of accidents? « Always brilliant and pedagogue, Gérard Yahiaoui explains the details of Oasis project which was formed as part of Nextmove (ex Mov’eo):« This must be emphasized because Nextmove is fully in its role by creating exchanges between companies with varied expertise and by giving birth to projects.”   Source et suite de l’article

Trois PME françaises élaborent une voiture capable d’anticiper les risques de la route (europe1.fr)

Données des véhicules : Nexyad salue les ordonnances gouvernementales La prise de position du ministère des Transports et de la Transition écologique a été reçue favorablement par Nexyad. Gérard Yahiaoui, CEO de Nexyad, parle de la fin d’une omerta sur les données, mais appelle à plus de précisions. C’est un petit pas pour le véhicule autonome, mais c’est un grand pas pour le législateur. « Le texte ne va pas assez loin, mais il va dans le bon sens« , a commenté Gérard Yahiaoui, le fondateur et CEO de Nexyad. Interrogé sur la portée des ordonnances annoncées la semaine passée par le ministère des Transports et de la Transition écologique qui comprend un volet sur le véhicule autonome, celui qui assure par ailleurs la vice-présidence de NextMove (ex-Pôle Mov’eo) en Ile-de-France a salué la volonté de « casser l’omerta des datas » tout en précisant qu’il reste à définir un cadre clair. « Nous sommes encore limités dans l’accès aux données qui permettent de nourrir l’intelligence artificielle et ce, parfois, pour de bonnes raisons, a rappelé Gérard Yahiaoui. Mais nos concurrents américains et chinois vont vite et il faut trouver un équilibre entre l’éthique … »   Vehicle data: Nexyad welcomes government orders The position taken by the Ministry of Transport and Ecological Transition was favorably received by Nexyad. Gérard Yahiaoui, CEO of Nexyad, talks about the end of a data omerta, but calls for more details. This is a small step for the autonomous vehicle, but it is a big step for the legislator. “The text does not go far enough, but it goes in the right direction,” commented Gérard Yahiaoui, founder and CEO of Nexyad. Asked about the scope of the ordinances announced last week by the Ministry of Transport and Ecological Transition which includes a component on the autonomous vehicle, the one which also ensures the vice-presidency of French research cluster NextMove (ex-Pôle Mov’eo) in Ile -de-France welcomed the desire to “break the omerta of data” while specifying that a clear framework remains to be defined. « We are still limited in access to the data that feeds artificial intelligence, sometimes for good reasons, » said Gérard Yahiaoui. But our American and Chinese competitors are going fast and we have to find a balance between ethics … «  Lire la suite sur le JournalAuto

Gérard Yahiaoui, CEO de Nexyad et VP de NextMove Ile de France

 

Three French SMEs specializing in the automobile of the future and artificial intelligence are seeking to develop a program capable of analyzing the quality of roads, traffic conditions and driver behavior in order to anticipate the behavior to be adopted and thus prevent accidents. road accidents.
Read more on foodnewstoday24.com