‘Better brains’ for cars
UNIVERSITY of Cambridge machine professors have launched Wayve, a self-driving technology startup that makes artificial intelligence software for the next generation of self-driving cars.
The company announced that they are pioneering end-to-end machine learning algorithms to make autonomous vehicles a day to day reality for everyone.
They asked why aren’t autonomous vehicles on the roads today in a meaningful numbers despite several technology companies and auto manufacturers having invested billions into solving the self-driving car problem over the last decade.
Wayve said the industry has been doing too much hand-engineering and too little machine learning.
“The missing piece of the self-driving puzzle is intelligent algorithms, not more sensors, rules and maps,” said Wayve Co-Founder and CEO, Amar Shah in a statement. “Humans have a fascinating ability to perform complex tasks in the real world, because our brains allow us to learn quickly and transfer knowledge across our many experiences. We want to give our vehicles better brains, not more hardware.”
“Building a self-driving system which can safely drive on roads is too difficult to hand-engineer,” said Wayve Co-Founder and CTO, Alex Kendall. “We’re betting on technology like reinforcement and imitation learning; we think machine learning will provide the breakthrough to deliver autonomous vehicles for everyone, everywhere.”
Professor Zoubin Ghahramani, Chief Scientist of Uber and an investor in Wayve said the team is pushing the forefront of machine learning adding state-of-the-art machine learning was essential for successful self-driving.