International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA 2025)

St Germain en Laye, November 6th 2024.

 

IEEE sponsored The International Conference on Artificial Intelligence, Computer, Data Sciences and Applications  will take place in Antalya, Türkiye on 7-9 August, 2025. The ACDSA is a peer-reviewed international conference that aims to bring together scientists, academics, researchers, and industrial representatives to exchange the ideas, to disseminate the high quality research results and to present the new developments on the topics related to Artificial Intelligence, Control, Data Sciences and applications.

The conference will feature a comprehensive technical program offering numerous technical sessions with papers showcasing the latest technologies, and applications.that provide an excellent international forum for dissemination of original research results, new ideas and practical development experiences which concentrate on both theory and practices of the academics, researchers, engineers and also industry professionals.

read more on ACDSA

#AI #ArtificialIntelligence #ACDSA #IEEE #Conference #Nexyad

Antalya, Türkiye

 

Overview of Insurance Premium Increases for Fleets

St Germain en Laye, November 5th 2024.

 

“According to the American Transportation Research Institute, commercial motor carriers have experienced a nearly 50% increase in per-mile insurance premium costs. This rise is further illustrated by data showing that truck insurance premiums escalated from 6.4 cents per mile in 2013 to 8.8 cents per mile in 2022.”

Fatalities can have a astronomical cost after trials, a couple of dozen $ million, without talking about psychological damage for drivers who caused these accidents. Others factors of increase are medical costs and costs of repair which follow inflation and have to be paid by insurance companies.

“An increase in the number of accidents or the severity of these accidents results in more claims being filed, which in turn puts upward pressure on insurance premiums.”

After more than 10 years of experimentation of Pay How You Drive tools and regular ADAS such as emergency detection, Criticality assessment and fast reflex automation, why do not try a new paradigm, a game changer that brings better results and allows better negotiations with insurers?

Nexyad offers an on-board, real-time tool that analyzes each driver’s driving behavior 20 times per second in relation to the road context. The vehicle (truck, car, two-wheeler) is detected where it is with its speed and accelerations on the road infrastructure, and we analyze what is in front (all types of curves, intersections, pedestrian crossings, stops, school zones, etc.). If and only if the speed is not adequate when approaching such difficulties, we can alert the driver in order to give him time to reduce his speed and avoid critical situations.
Nexyad tool is available on MotivAI smartphone App, or can be integrated into any devices (your app, telematics box, dashcam, etc.)
. Reduce accident rate by action.
. Understand your drivers’s behavior with recorded data.
. Allow personalized coaching for road safety.
. Reduce cost for operations.

See Nexyad page BYOD Solutions

Read Article by UniversalPositioning.com: https://www.positioninguniversal.com/2024/06/18/navigating-rising-insurance-premiums-a-guide-for-small-to-medium-sized-fleets/#:~:text=According%20to%20the%20American%20Transportation,cents%20per%20mile%20in%202022.

DrivingAssistance Fleet Telematics FleetManagement Risk DrivingPrudence PrudenceMetric OperatingCosts FleetSafety BYOD Insurance Nexyad

Qualcomm Snapdragon Summit in Hawaii

St Germain en Laye, November 4th 2024.

 

Qualcomm says its next-gen tech will allow automakers to develop software-defined vehicles and AI-based features more quickly.

Qualcomm and its automotive partners will create software to enable what they call an AI-driven « digital life” in vehicles. This includes innovations like zonal audio, which will personalize audio for each occupant of the car, improving privacy and personalization. For example, safety alerts like lane departure warnings will be directed exclusively to the driver, while passengers in the back will be able to enjoy undisturbed audio from movies or games.
The car’s AI will also listen and respond to individual requests. If a passenger says, “I’m cold,” the system will adjust the temperature in that specific zone, providing tailored comfort. Likewise, it will anticipate preferences, sensing outside conditions to proactively suggest, “It’s a sunny day. Would you like your sunroof open?” »
Qualcomm also showed off a concept for a semi-autonomous vehicle that can determine when there is no parking available near a destination and offer to drop drivers off and pick them up later at their door. Of course, we’ll have to wait for fully autonomous cars for this feature to become available.

Read More 

AI GenAI ArtificialIntelligence SDV SoftwareDefinedVehicle DigitalLife Qualcomm Mercedes GM Google Nexyad

 

A New Driving Assistance Tool for Professional Drivers by Nexyad

St Germain en Laye, October 31th 2024.

 

Our technology SafetyNex provides a metric of driving prudence.

This prudence metric brings in real time a driving assistance system: it warns driver if (and only if) vehicle speed is inadequate to difficulties in front of the vehicle.

NEXYAD is not a telematics company, we are a pure AI company, and we work with telematics companies to help them integrate this technology to their solution:

    • smartphone App
    • dashcam
    • telematics device

We avoid at least 25% of accidents.

The benefits for the fleet include lower operating costs, such as reduced repair expenses, minimized driver lost working days, less deliveries delay or worst destruction,  and lowered insurance premiums.

Drivers like our driving assistance solution because they keep in charge of vehicles safety, with a little help that avoid distraction, road signs misreading, and tricky situations.

This solution is deployed among more than 400 000 professional drivers.

It covers:

    • Trucks (small, medium, and heavy)
    • Cars
    • Two-wheelers

To know more contact us.

#DrivingAssistance #Fleet #Telematics #FleetManagement #Risk #DrivingPrudence #PrudenceMetric #OperatingCosts #FleetSafety #Nexyad

 

Automotive R&D transformation: Optimizing gen AI’s potential value

St Germain en Laye, October 30th 2024.

 

As we can see, the automotive industry is undergoing a major transformation with the electrification of vehicles, driving aids and the arrival of the first autonomous vehicles in major US and Chinese cities. But there is also a strong enthusiasm for the adoption of generative AI, with three-quarters of companies already experimenting with applications.

Indeed, the sector estimates that generative AI could improve R&D processes by 10 to 20%. Companies are looking for productivity gains and cost reductions, particularly for:
– software testing and validation
– acceleration of test and validation, marketing and quality.

However, organizational transformations are necessary to maximize this value.

Read McKinsey article: https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/automotive-r-and-d-transformation-optimizing-gen-ais-potential-value

See Nexyad AI page: Artificial Intelligence: We bring Solutions to your Problems

AI ArtificialIntelligence GenAI Automotive Nexyad

 

What Do AI and Machine Learning Have to Offer Car Sharing?

St Germain en Laye, October 29th 2024.

In United States, the car sharing market is projected to grow significantly by 2025, according to analysts a fourfold increase in fleet size to about 427,000 cars and a fivefold rise in users, reaching 36 million. This growth is driven by government support, technology advancements, and service optimization.

Key technologies like artificial intelligence and machine learning will enhance customer personalization, allowing tailored rates and recommendations. They will also improve user experience through features such as customized vehicles and integrated route planning with other transport modes.

For businesses, these technologies aid customer retention by enabling targeted offers and demand forecasting. Proactive measures will address driving behaviors, implementing restrictions for aggressive drivers and ensuring vehicle maintenance. As competition intensifies, car sharing companies will focus on enhancing service quality and expanding their feature offerings.

After more than 15 years of work thru 12 government funded collaborative research programs with experts of road safety, police of the road, professional drivers and insurers of 19 countries, Nexyad has developed a Metric of Driving Prudence.
Using this Metric of driving Prudence, Nexyad offers SafetyNex an AI tool on board and real time which analyses driving prudence 20 times per second, comparing driving behavior (speed, accels) with road context ahead (road geometry and signs, obstacles, weather, visibility, etc.). When we detect lacks of prudence, we are able to alert drivers with few seconds of anticipation in order for them to slow down and then reduce accident situations.

For further details see Nexyad page for Fleets: BYOD Solutions for Fleets: Bring Your Own Device Solutions

Read What do artificial intelligence and machine learning have to offer car sharing? | by Vladimir Ilichev | Bright Box — Driving to the future | Medium

#AI #ArtificialIntelligence #CarSharing #Nexyad #SafetyNex

This AI system makes human tutors better at teaching children math

 

St Germain en Laye, October 28th 2024.

 
« The tool, called Tutor CoPilot, demonstrates how AI could enhance, rather than replace, educators’ work.

Tutor CoPilot isn’t designed to actually teach the students math—instead, it offers tutors helpful advice on how to nudge students toward correct answers while encouraging deeper learning. »

Read article from Rhiannon Williams in MIT Technology Review: https://www.technologyreview.com/2024/10/28/1106251/this-ai-system-makes-human-tutors-better-at-teaching-children-math/

A research study by National Student Support Accelerator highlights the potential of Generative AI in education, focusing on Tutor CoPilot, a Human-AI system that aids tutors. A study with 900 tutors and 1,800 K-12 students showed that using Tutor CoPilot increased student mastery in math by 4 percentage points, especially benefiting lower-rated tutors (9 percentage points). At just $20 per tutor annually, it promotes effective teaching strategies. Despite some limitations in suggestions, the findings suggest Tutor CoPilot can improve educational quality and accessibility for underserved communities.

See Nexyad AI page: https://nexyad.net/Automotive-Transportation/artificial-intelligence/

#AI #ArtificialIntelligence #GenAI #OpenAI #ChatGPT #TutorCoPilot #Nexyad

Google unveils invisible ‘watermark’ for AI-generated text

St Germain en Laye, October 25th 2024.

First steps have been taken to, perhaps, eventually identify what is produced by a generative AI and distinguish it from the real production of a human. The latest comes from a major player Google.
Obviously, this can only come from the companies that develop these AIs. It would make no sense for a user who shares content to denounce themselves, especially if there is a gain at the end, whether financial, prestige or authenticity.

Is GenAI a tool like any other? Like the calculator or the electric motor ?

Google unveils invisible ‘watermark’ for AI-generated text

Artificial Intelligence: We bring Solutions to your Problems

#AI #ArtificialIntelligence #GenAI #Google #OpenAI #LLM #Watermark #Nexyad #Nature

Generative AI Tutorial Series by Michigan Institute for Data Science 3/9

 

Shane Storks, Graduate Student Research Assistant, Computer Science and Engineering, College of Engineering.
Michigan Institute for Data Science and AI Laboratory

#AI #ArtificialIntelligence #GenerativeAI #Tutorials #MichiganInstitute #Nexyad

 


 

India Is Waking Up Faster Than We Think

 

St Germain en Laye, October 23th 2024.

India is a nuclear power, with the bomb. It is the 5th largest economy in the world ahead of the United Kingdom, the most populous country and a democracy with almost a billion voters. In the future, India could push global growth with such a huge and rapidly awakening market.

In such context, transportation is great challenge for acceleration and India intends to propose ADAS solutions to combat road insecurity. Indeed, 173,000 deaths in 2023, more than 400,000 injured on the roads.

« India’s Commercial Vehicle market is set to reach 850,600 units in 2024. »
Read this interview of Raghavendra Vaidya, MD & CEO of Daimler Truck Innovation Center India: ADAS systems gaining ground in India, but adoption lags in CVs: MD& CEO, DTICI – Times of India

Of course, there is a lot of work to do in this large country in terms of infrastructure. Roads are not proper everywhere and drivers sometimes need to be helped for greater safety.
Motiv AI a company from Coimbatore is starting to deploy such assistance with a smartphone App powered with AI that works in real time to alert all vehicle drivers with anticipation when they make lacks of prudence.

India ADAS RoadSafety DTICI AI DriverAssistance Nexyad MotivAI Fleet FleetSafety DriverMonitoring BYOD

 

 

Raghavendra Vaidya, MD & CEO of Daimler Truck Innovation Center India.

 

V2X Demo of Hazard Warning use-case

 

St Germain en Laye, October 22th 2024.

Nexyad Dreamotor1 vehicle integrates Hybrid AI SafetyNex which performs on-board analysis of the Driving Behavior in relation with Road Context, in real time (20 times/s). SafetyNex allows to Anticipate singularities on road in order to assist drivers or pilot a predictive ACC.

The exchange of data between the vehicle and other entities (other vehicles, road infrastructure, vulnerable road users such as pedestrians or 2-wheelers and the cloud) is performed using YoGoKo’s unified communication & data management software platform (Y-SMART).

The demonstration here shows reaction of SafetyNex to an incoming message originated from some Hazard Warning info platform, using V2X communications.
The message informs that a motorcycle (virtual) is laying on ground after an accident. When Dreamotor1 is informed of the hidden accident at some known distance ahead, it provides the information to the driver (asking to slow down), or it reduces automatically speed in ACC mode.

V2X information is a possible input of SafetyNex (traffic, accident, road work, weather, etc.)
Other inputs are eHorizon (Map SD or HD); Diagnosis of detection sensors (obstacle and DMS)

Nexyad SafetyNex YoGoKo V2X ADAS PredictiveACC DriverAssistant AI

 

PARIS MONDIAL 2024

 

St Germain en Laye, October 21th 2024.

This year, Paris Mondial de l’Auto has regained more manufacturers, more visitors than previous edition. People still seems to love cars, they make kids to seniors dreaming. We could feel electricity on the air because it is everywhere. A lot of new models from French brands on super design booths. Chinese cars almost occuped one of the four pavillons of Paris convention center, with more sedan’s than city cars, even exentric premiums.
Paris Mondial will return in october 2026.

Citroen BMW Forthing Skoda Renault Ford Cadillac Audi Alpine Mini Kia BYD Dacia Hongqi Peugeot Tesla VW Xpeng AlfaRomeo LeapMotor GAC Aito Nexyad

Amazon, Google and Microsoft put Billions on Nuclear Power

 

St Germain en Laye, October 18th 2024.

After seeing AI companies attract more and more money (article here), there is an increasing financial investments by American tech giants – Microsoft, Google and Amazon – who are positioning themselves for the future by choosing nuclear energy. This move is particularly strategic because nuclear energy stands out as an energy source that does not produce CO2 emissions while providing a reliable and constant supply of electricity. As the computing requirements of the AIs they develop continue to increase, these companies are committing billions of dollars to meet their energy needs.
Those who do not have access to sufficient energy resources could suffer in the competitive landscape of AI development.

Read article from The New York Times: https://www.nytimes.com/2024/10/16/business/energy-environment/amazon-google-microsoft-nuclear-energy.html

#AI #ArtificialIntelligence #Google #Microsoft #Amazon #Nexyad #Nuclear #Energy
 

Optimus Robots by Tesla Last New Steps

St Germain en Laye, October 17 2024.

Milan Kovac, VP Head of Engineering Optimus at Tesla shared a couple of news after 10/10 event held at Warner Bros. studios in California.

Here a summerize:

Tesla Bot recently held an event where it showcased the progress of its Optimus robots. About 20 active robots chatted with visitors for about four hours at the 10/10 event. The robots demonstrated impressive balance and mobility, and there was only one minor incident. Highlights included the unveiling of a new generation of hand and forearm that greatly improves dexterity and sense of touch.

Work continues, and marks advances in the robot’s autonomy: Optimus is now able to visually navigate indoors using its 2D cameras. It can avoid obstacles, navigate autonomously, carry payloads, and dock to recharge. Efforts to improve autopilot technology, used in both cars and robots, have contributed to these improvements.

Additionally, Optimus is being trained to interact with humans and respond to gestures and voice commands to give them snacks and drinks. There is certainly still a lot of work to be done, but there is optimism by Elon Musk’s teams about future developments.

Video by CNET:

AI page on Nexyad website:https://nexyad.net/Automotive-Transportation/artificial-intelligence/

#Nexyad #AI #ArtificialIntelligence #Optimus #Tesla #Robot #Technology #CNET

Paris Automotive Summit 2024

Paris, October 15th 2024.

For the second time, after 2022, PFA (Platform of French Automotive) organise its Summit during the Paris Mondial at Paris Convention Center, Porte de Versailles in Paris.

Concern and determination are the two impressions that were revealed by the various top leaders’ interventions (see list below)
The European automotive industry is facing a drop in sales on the old continent that is multifactorial:
– General economic slowdown
– Increase in energy prices
– Demographic decline of potential buyers
– Arrival of Chinese vehicles
– Cut-throat regulation that could worsen the situation

But the manufacturers, tier one suppliers and side players, back to the wall, want to be combative. They have the collective will to organize themselves on several items:
– Innovation (batteries, Software Defined Vehicle, ADAS, AI)
– Industrial collaboration at a European scale
– Alliances with Asian players
– The call to EU political bodies for support adapted to current and future realities of sector

Introduction by Luc Chatel President of PFA

Keynotes :

  • Luca de Meo, CEO Renault Group
  • Oliver Zipse, CEO BMW Group
  • Christophe Perillat, CEO Valeo
  • John Bozzela, President of the International Organization of Motor Vehicle Manufacturers (OICA), president and CEO Alliance for Automotive Innovation (USA)
  • Carlos Tavares, CEO Stellantis

Interview :

    • Patrick Pouyanné, CEO TotalEnergies
    • Christel Heydemann, CEO Orange Group

Closing : Antoine Armand, Minister of Economics, Finance and Industry of France

Luc Chatel, President of PFA
Luc Chatel, President Platform of French Automotive

#Nexyad #AI #ADAS #SDV #PFA #Renault #BMW #Valeo #OICA #TotalEnergies #Orange #Paris

Road Difficult Situation Use-Case by Nexyad SafetyNex

St Germain en Laye, October 15th 2024

Use-Case that described a common situation leading to many accidents:
Pedestrian crossing partly masked by a bus, a pedestrian surrounds from behind the bus.

As the vehicle is approaching the pedestrian crossing, it slows down slightly (a prudence function is activated at the crossing, which can be disabled if you believe your customers prefer that, similar to other Prudence Functions in the tool). We could also incorporate contextual information to determine if the area is urban or peri-urban. The vehicle detects the parked bus, geolocates it, and recognizes that it is partly masking the view of the pedestrian crossing, prompting a reduction in speed even if no pedestrian is currently visible. When the pedestrian does appear, the vehicle can stop at a deceleration of 0.5 g, avoiding the activation of the Automatic Emergency Braking (AEB) system.
Please note that we cannot calculate the potential collision with a pedestrian because potential pedestrian is masked by the bus.

The pilot system is a PID (you can utilize your existing pilot).

Understand Vehicle HMI:

 

See video : simulation with AURELION (dSpace)

 

The vehicle is driven by SafetyNex, on a real pathway around Nexyad office (digital twin).

#Nexyad #AI #ArtificialIntelligence #SafetyNex #dSPACE #Aurelion #RTMaps #Intempora #AutonomousVehicle #SelfDriving #HAV #FuzzyLogic #PossibilityTheory #Scalable #XAI #eXplainableArtificialIntelligence

New Voice Functionality on ChatGPT

St Germain en Laye, October 14th 2024.

« Who Is That You Are Chatting With? Oh, Just ChatGPT.
The artificial intelligence chatbot’s Advanced Voice Mode feature has delighted some users and weirded out others.

When you think of what a voice programmed by artificial intelligence would sound like, you might picture something robotic and stilted, with a staccato cadence incapable of capturing the inflections, speed and emotion required to sound even somewhat human. But this is 2024, and the robots have gotten a serious upgrade. Now they can imitate voices, accents and intonation to an almost creepy degree — for better or worse. »

Read article from The New York Times

For better or worse ? The both of course.
This could probably be nice for a typical user looking for information, ordering a meal, or making a doctor’s appointment, and even support for a single person who no longer communicates with others. But it also risks generalizing deep fake vocals.
When cavemen banged stones on top of twigs to warm themselves with fire, it was a great innovation, a step forward for the human kind. And then they discovered other less positive uses…

Nexyad’s innovation, BYOD* SafetyNex, in its informative driving assistance mode for fleets and/or insurance companies, consists of warning drivers on board when they are not being prudent behind the wheel in real time. SafetyNex can then launch simple messages by anticipation  such as: « slow down » or even contextualized « slow down dangerous bend », etc.
Our tool enhanced with ChatGPT-type technologies could then launch alerts such as « Honey, please slow down » in your wife’s voice, or « Daddy, go slower » in your child’s voice.
In this combination, our 100% positive innovation will make the vocal imitation for the better way.
*Bring Your Own Device

 

See our page about SafetyNex for Fleets and insurance: https://nexyad.net/Automotive-Transportation/byod-solutions-for-fleets/

#Nexyad #AI #ArtificialIntelligence #Fleet #FleetSafety #SmartphoneApp #DriverMonitoring #DriverSafety #AccidentsReduction #SafetyNex #BYOD #DrivingSafetyScore #PayHowYouDrive #CarInsurance #ChatGPT #OpenAI

CEO Of NEXYAD Presenting Self-Driving Methods To Master Students At INSA Rouen

Rouen, October 10th 2024.

CEO of NEXYAD giving a lecture to Master students at INSA Rouen (French Engineering School / University).

Topic: Autonomous vehicles

Thanks to Prof. Abdelaziz BENSRHAIR for organizing such lectures.

Link to Nexyad’s autonomous vehicle solution, SafetyNex software: https://nexyad.net/Automotive-Transportation/prudence-based-automated-driving/

Gerard YAHIAOUI CEO of NEXYAD giving a lecture to Master students at INSA
CEO of NEXYAD giving a lecture to Master students at INSA

#AutonomousDriving #AutonomousVehicle #SelfDriving #Driverless #AutomatedDriving #HAV #Nexyad #SafetyNex #INSArouen #AI #ArtificialIntelligence

Who are the Two Winners of the 2024 Nobel Prize of Physics ?

St Germain en Laye, October 10th 2024

It takes time in science to estimate the scope of important work. Finally, John Hopfield born in 1933 and Goeffrey Hinton in 1947, have just jointly obtained the 2024 Nobel Prize in Physics for their work carried out since the 80’s on machine learning.

Goeffrey Hinton is known for his applications:

Backpropagation in machine learning is a gradient estimation method commonly used for training neural networks to compute the network parameter updates.

Boltzmann machine, a statistical physics technique applied in the context of cognitive science.

Deep learning (considered as one of the godfathers) is a subset of machine learning methods based on neural networks with representation learning.

Capsule neural network (CapsNet) is a machine learning system that is a type of artificial neural network (ANN) that can be used to better model hierarchical relationships. The approach is an attempt to more closely mimic biological neural organization.

John Hopfield developed :

Hopfield network (or associative memory) is a form of recurrent neural network, or a spin glass system, that can serve as a content-addressable memory.

Modern Hopfield networks (also known as Dense Associative Memories) are generalizations of the classical Hopfield networks that break the linear scaling relationship between the number of input features and the number of stored memories.

And also Hopfield dielectric, Polariton and Kinetic proofreading

 

See Nexyad Artificial Intelligence section: Artificial Intelligence: We bring Solutions to your Problems (nexyad.net)

John Hopfield and Goeffrey Hinton in the 80's, both winners of the Nobel Prize of Physics in 2024
John Hopfield (on the left) and Goeffrey Hinton in the 80’s

#AI #ArtificialIntelligence #MachineLearning #DeepLearning #Physics #NeuralNetworks #Nexyad #JohnHopfield #GoeffreyHinton

Interview of Andrej Karpathy (former Tesla and OpenAI)

St Germain en Laye, October 9th 2024.

From No Priors Podcast:

Andrej Karpathy joins Sarah and Elad in this week of No Priors. Andrej, who was a founding team member of OpenAI and the former Tesla Autopilot leader, needs no introduction. In this episode, Andrej discusses the evolution of self-driving cars, comparing Tesla’s and Waymo’s approaches, and the technical challenges ahead. They also cover Tesla’s Optimus humanoid robot, the bottlenecks of AI development today, and how AI capabilities could be further integrated with human cognition. Andrej shares more about his new mission Eureka Labs and his insights into AI-driven education and what young people should study to prepare for the reality ahead.

 

See Nexyad architecture for self-driving: https://nexyad.net/Automotive-Transportation/prudence-based-automated-driving/

#Tesla #OpenAI #Nexyad #AI #ArtificialIntelligence #XAI