The emergence of the "smart car" and "auto intelligence" demands engineering, mathematics, science, and technology -- jobs constantly recruiting young people.
The Tesla executive was discussing autonomous vehicle tech at Nvidia's event because Nvidia is putting resources into processor and system-on-a-chip technology that can be used as the brains of in-car intelligence systems.
As Google has demonstrated with its self-driving car, the combination of machine intelligence, robotics and sensors can already perform better than a human at a complex task such as driving a car, something that 10 years ago was unthinkable to most people.
In the Google car, I had felt detached from the machine intelligence that guided it.
An Israeli security official said that in the strike today in Gaza, the target was a car that intelligence had identified as carrying weapons for Hamas.
That, I think, is the true link to the Mercedes philosophy of the 80's, the notion that one could put more faith in the car's intelligence than in the driver's.
Second, the frame of reference must not conflate the possible with the inevitable: despite media saturation with drones, driverless cars, artificial intelligence and smart cities, the world of data is very much up for grabs.
Growing research progress in Internet of Things (IoT), automated/connected cars, Artificial Intelligence and person's data acquisition (Quantified Self) will help to reduce behavioral uncertainties in transport and unequivocally influence future transport landscapes.
In its varied forms — from the mysterious brains of octopuses and the swarm-minds of ants to Go-playing deep learning machines and driverless-car autopilots — intelligence is the most powerful and precious resource in existence.
