Autonomous Vehicles: Timeline and Roadmap Ahead This white paper provides a grounded timeline for vehicle autonomy adoption, offering insights into the road ahead for policymakers, business leaders and the public
How GenAI is driving the development of vehicle autonomy Driving has proven to be a particularly tricky task for machines, given the infinite set of new scenarios that may arise during a journey AI can be a key enabler in overcoming technological hurdles to vehicle autonomy by generating synthetic datasets, for example Collaboration within the autonomous vehicle industry is key to harnessing the potential of GenAI, while addressing associated risks
The transition to EVs must be sustainable. Heres why OPINION: Switching to electric vehicles is undoubtedly key to the climate transition — but as demand slows, a foot on the brake pedal may not be a bad thing
Bringing AI into the physical world with autonomous systems Physical autonomous systems – referred to simply as autonomous systems in this article – are the result of bringing together mechanical engineering, artificial intelligence (AI), sensor technology and connectivity They can be seen as the next AI frontier, which leaps from the digital realm into the physical world to perform complex tasks in unstructured environments