Nanowire ‘brain’ network learns and remembers ‘on the fly’
Like a collection of ‘Pick Up Sticks’, this neural network has passed a critical step for developing machine intelligence. For the first time, a physical neural network has successfully been shown to learn and remember ‘on the fly’, in a way inspired by and similar to how the brain’s neurons work. The result opens a pathway for developing efficient and low-energy machine intelligence for more complex, real-world learning and memory tasks.
A team at Los Alamos National Laboratory has developed a novel approach for comparing neural networks that looks within the "black box" of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants,…
A team has developed a novel approach for comparing neural networks that looks within the 'black box' of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving…