Scaling up neuromorphic computing for more efficient and effective AI everywhere and anytime
The NeuRRAM chip is not only twice as energy efficient as state-of-the-art, it’s also versatile and delivers results that are just as accurate as conventional digital chips. Credit: David Baillot/University of California San Diego Neuromorphic computing—a field that applies principles of neuroscience to computing systems to mimic the brain’s function and structure—needs to scale up … Read more