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Wayve, a London-based company pioneering deep learning for autonomous vehicles (AVs), has announced that it is working with Microsoft to leverage the supercomputing infrastructure needed to support the development of AI-based models for driverless vehicles on a global scale is required. The companies bring together Wayve’s expertise in using deep neural networks to train AI models with Microsoft’s technical excellence in powering large AI systems.
This announcement follows Microsoft’s participation in Wayve’s $200 million Series B investment round.
It also extends their existing collaboration, which began in 2020 when Wayve chose Microsoft Azure to accelerate the development of its technology.
The company has a fleet of vehicles being tested in cities across the UK and is aiming to be the first company to use autonomy in 100 cities.
Wayve CEO Alex Kendall said, “Working with Microsoft to develop the supercomputing infrastructure needed to accelerate deep learning for autonomous mobility is an opportunity we are excited to spearhead. Deep learning systems thrive on data, and we’ve put tremendous effort into understanding what it takes to get these systems on the road. We are excited about the possibilities this collaboration will create as we take deep learning to a new level of scale.”
Mark Russinovich, CTO, Azure at Microsoft, adds: “Supercomputing capabilities are key to processing the immense amount of data required to simulate, validate and train AI models that enable safe autonomous driving. Wayve combines its expertise in deep learning-based autonomous vehicle systems with Microsoft Azure
Computing power to bring self-driving transportation experiences to more people and
Founded in 2017, Wayve is comprised of a global team of machine learning and robotics experts from leading organizations around the world.
Wayve is backed by Eclipse Ventures, D1 Capital Partners, Baillie Gifford, Moore Strategic Ventures, Balderton Capital, Virgin, Ocado Group and prominent technology leaders such as Sir Richard Branson, Rosemary Leith and Yann LeCun.