Automotive Government Oil Industry Research Solutions

My autonomous driving car with own AI brain

The dream of Hollywood comes true – Knight Rider as Reality

has experienced rapid advancements in the last five years, enabling new technologies previously only imagined in Hollywood films or best-selling novels. The advent of – high performance computing combined with big dataBig Data describes data collections so big that humans are not capable of sifting through all of it in a timely manner. However, with the help of algorithms it is usually possible to find patterns within the data so far hidden to human analyzers.  and sophisticated neural networksNeural Networks are simplified abstract models of the human brain. Usually they have different layers and many nodes. Each layer receives input on which it carries out simple computations, and passes on the result to the next layer, by the final layer the answer to whatever problem will be produced.  – has spurred an avalanche effect in development for a variety of product domains. As technology improves, researchers then design prototypes, algorithmsAn algorithm is a fixed set of instructions for a computer. It can be very simple like "as long as the incoming number is smaller than 10, print "Hello World!". It can also be very complicated such as the algorithms behind self-driving cars. are subsequently created, and developers begin looking to optimise hardware solutions to help enable these new technologies. This new sophistication has led to a natural cohesiveness between Intelligence and . For years the prevailing wisdom was that Advanced Driver Assistance Systems (ADAS) would gradually evolve into self-driving capabilities, but the industry has found that innovation at this level is limited.

In order to proceed to a truly self-driving world, vehicles must do more than operate independently – they must be able to think and reason much like the human mind can do.

for self-driving vehicles isn’t limited to a Knight Rider-like driving experience where your vehicle anticipates your needs and acts accordingly.

Training to recognise

As sophisticated as training has become, the truly advanced part of using in is in the motion. Far beyond simply helping the car to drive, motion includes using to maneuver and function in the real world, and solve the dynamic driving task.

Training the for cars

As sophisticated as training has become, the truly advanced part of using in is in the motion. Far beyond simply helping the car to drive, motion includes using to maneuver and function in the real world, and solve the dynamic driving task.

The of today will be the of tomorrow

The future of is brighter than ever before.

While still in the early stages, never before has imagination merged so seamlessly with real world capabilities. OEMs are beginning to see themselves as more than just automotive designers and manufacturers, but also as technologists and developers, and this shift will help to facilitate a more natural environment for automobile technology to thrive. […]

  1. ben carpano

    RT @SwissCognitive: My autonomous driving car with own #AI brain https://t.co/WUlGDD254Z #Autonomous_Car #Cognitive #Deep #Deep_Learning #H…

  2. Joan Torres

    RT @SwissCognitive: My autonomous driving car with own #AI brain https://t.co/WUlGDD254Z #Autonomous_Car #Cognitive #Deep #Deep_Learning #H…

  3. Swiss Robotics

    RT @SwissCognitive: My autonomous driving car with own #AI brain https://t.co/WUlGDD254Z #Autonomous_Car #Cognitive #Deep #Deep_Learning #H…

  4. Mobility

    RT @SwissCognitive: My autonomous driving car with own #AI brain https://t.co/WUlGDD254Z #Autonomous_Car #Cognitive #Deep #Deep_Learning #H…

Leave a Reply