Sentence examples for vehicle intelligence from inspiring English sources
Professor José del R Millán, who is leading the project, said the idea behind the research was a simple one: "to blend driver and vehicle intelligence together in such a way that eliminates conflicts between them, leading to a safer motoring environment".
Take a look at Spireon, which is a top developer of connected vehicle intelligence solutions.
The car marque is using strategies and technologies from the field of artificial intelligence and machine learning so the AI cars combine vehicle intelligence, which makes automated driving possible.
On January 26, Sony announced its intention to acquire Israel-based Altair Semiconductor for $212 million and during the same week, Honda — eyeing Israel's vehicle intelligence technologies, apps and software — flew in a group of executives and engineers from Japan and North America to attend the equity crowdfunding platform OurCrowd's annual summit in Jerusalem.
In particular, Chinese analysts were studying American unmanned aerial vehicles, intelligence and command and control procedures, and G.P.S. systems — to see where they are strong and where they are vulnerable.
This root-and-branch determination turned what might have been a noble, if controversial, vehicle for intelligence reform into something destructive.
This to me is a shame because a reversal in the use of this network would make it a true vehicle for intelligence and open thinking.
First, by forcing detainees to make unreliable statements, coercive interrogation proved to be a poor vehicle for intelligence gathering.
It's part of a culture change that will bring them more in line with Silicon Valley technology companies, said Chris Valasek, director of vehicle security intelligence at cybersecurity firm IOActive.
"All those papers which serve merely as vehicles of intelligence will be destroyed," he declared.
Startups span diverse technologies — in part to exemplify the wide range of MIT innovation — including 3-D printing, synthetic biology, autonomous vehicles, artificial intelligence, aerospace, robotics, energy, and data analytics.
