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Mercedes-Benz and the University of Waterloo have signed a Memorandum of Understanding to collaborate on research led by Prof. Chris Eliasmith in the field of neuromorphic computing.
The focus is on the development of algorithms for advanced driver assistance systems.
By mimicking the way the human brain works, neuromorphic computing could significantly improve AI calculations, making them faster and more energy-efficient.
While maintaining the vehicle's range, safety systems would be able to recognize traffic signs, lanes and objects, for example, much better and react more quickly, even in poor visibility.
The collaboration with the University of Waterloo expands on a number of our existing research collaborations on neuromorphic computing.
To unlock the full potential of neuromorphic computing, we are building a network of universities and research partnerships.