25 décembre 2017

Upstream Security reels in $9M Series A to protect connected cars

Upstream Security, a new startup founded by two cyber security industry veterans, announced a $9 million Series A today to help protect connected vehicles and eventually autonomous cars. Today, that probably means a car using a service like OnStar to connect over the internet to your manufacturer for a menu of in-car services such as automated crash detection and stolen vehicle assistance. In the future, it could involve a set of communications between cars, cloud services and a host of other technologies as we move deeper into the... [Lire la suite]
Posté par Baptiste_David à 12:48 - - Commentaires [0] - Permalien [#]
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02 août 2017

What is driving risk and why most apps DO NOT measure it although they seem to be interesting

What is driving risk and why most apps DO NOT measure it although they seem to be interesting Driving risk assessment is now of interest of : . telematics solutions providers . fleet managers (for prevention) . car insurers (for prevention, and UBI) A lot of applications then explain how they estimate driving risk. But, by the way, what is driving risk ? A lot of people seem to think that driving risk and accident are quite the same. If I observe accident, then I will learn and do stats and find a way to estimate driving risk.... [Lire la suite]
28 juin 2017

2017 Technology Trends

2017 Technology Trends The haves are breaking away from the have-nots. The trends and innovations that will shape the technology industry over the next several years came into sharper focus in 2016. Cloud computing has gone mainstream for many enterprises, and the Internet of Things (IoT) is changing how both industrial and consumer-oriented companies do business. Drones and autonomous vehicles, blockchain, augmented and virtual reality, increasingly sophisticated digital assistants, machine learning (artificial intelligence, or AI)... [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.  
11 mars 2017

Audi will have an autonomous car in 2020 using NVIDIA tech and AI

Audi will have an autonomous car in 2020 using NVIDIA tech and AI Audi and NVIDIA have been working together for a while, with most of the results being fancy infotainment systems like the current version of MMI and Audi's Virtual Cockpit display setup. Now the two are partnering to build autonomous vehicles that will leverage NVIDIA technology. Audi has a demonstrator now and promises a fully autonomous car for the year 2020.The tech underlying these new self-driving vehicles is NVIDIA's DRIVE computing platform. It uses... [Lire la suite]
Posté par NEXYAD à 06:40 - - Commentaires [0] - Permalien [#]
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14 février 2017

15 data and analytics trends that will dominate 2017

15 data and analytics trends that will dominate 2017   Along with social, mobile and cloud, analytics and associated data technologies have earned a place as one of the core disruptors of the digital age. 2016 saw big data technologies increasingly leveraged to power business intelligence. Here's what 2017 holds in store for the data and analytics space. John Schroeder, executive chairman and founder of MapR Technologies, predicts the following six trends will dominate data and analytics in 2017: Artificial... [Lire la suite]
27 janvier 2017

Shifting gears: Insurers adjust for connected-car ecosystems

Shifting gears: Insurers adjust for connected-car ecosystems As the number of applications grows, a strong ecosystem is forming around the connected car, involving a range of participants—among them automakers, insurance companies, telecommunications firms, sensor and chip manufacturers, and digital-platform giants like Amazon and Uber, as well as academic institutions and standards-making bodies. The rise of this ecosystem is changing the competitive landscape for all participants, especially for companies in the insurance industry.... [Lire la suite]
02 septembre 2016

Toyota, Tesla or Google: who's spending the most on artificial intelligence in the car industry?

Toyota, Tesla or Google: who's spending the most on artificial intelligence in the car industry?   Which businesses are investing in artificial intelligence? Read how artificial intelligence will change the car industry, and other sectors, as we know it.   Toyota has put $1 billion (£663 million) aside for a Silicon Valley artificial intelligence and robotics research unit to further its driverless car technologies, but is it enough to take Elon Musk's crown as the biggest tech spender in the car industry? The... [Lire la suite]
14 décembre 2015

Data Fusion and Artificial Intelligence for ADAS and Antonomou car

NEXYAD proposed a new way for data fusion in 2 steps : . Step 1 : data fusion  On ths level, modules c omminucate together in a dynamic way (there may bedifferential systems if outputs are connected to inputs.On the above diagram, VisiNex measures visibility, RoadNex detects the roadin front of the vehicle. Its inputs are both image (from a camera) and Region ofInterested that comes from SafetyNex (that is a connected object that reads themap in front of the vehicle). VisiNex may change tuning parameters of RoadNex and... [Lire la suite]