The dream of Hollywood comes true – Knight Rider as Reality
Artificial intelligence 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 deep learning – high performance computing combined with big data and sophisticated neural networks – has spurred an avalanche effect in AI development for a variety of product domains. As technology improves, researchers then design prototypes, algorithms are subsequently created, and developers begin looking to optimise hardware solutions to help enable these new technologies. This new AI sophistication has led to a natural cohesiveness between Cognitive Intelligence and autonomous driving. 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.
AI for self-driving vehicles isn’t limited to a Knight Rider-like driving experience where your vehicle anticipates your needs and acts accordingly.
Training Artificial Intelligence to recognise
As sophisticated as AI training has become, the truly advanced part of using AI in autonomous driving is in the motion. Far beyond simply helping the car to drive, motion includes using AI to maneuver and function in the real world, and solve the dynamic driving task.
Training the AI for autonomous driving cars
As sophisticated as AI training has become, the truly advanced part of using AI in autonomous driving is in the motion. Far beyond simply helping the car to drive, motion includes using AI to maneuver and function in the real world, and solve the dynamic driving task.
The AI of today will be the self-driving car of tomorrow
The future of autonomous driving 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. […]
read more – www.iottechnews.com
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The dream of Hollywood comes true – Knight Rider as Reality
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.
AI for self-driving vehicles isn’t limited to a Knight Rider-like driving experience where your vehicle anticipates your needs and acts accordingly.
As sophisticated as AI training has become, the truly advanced part of using AI in autonomous driving is in the motion. Far beyond simply helping the car to drive, motion includes using AI to maneuver and function in the real world, and solve the dynamic driving task.
Training the AI for autonomous driving cars
As sophisticated as AI training has become, the truly advanced part of using AI in autonomous driving is in the motion. Far beyond simply helping the car to drive, motion includes using AI to maneuver and function in the real world, and solve the dynamic driving task.
The AI of today will be the self-driving car of tomorrow
The future of autonomous driving 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. […]
read more – www.iottechnews.com
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
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