Startup Knowm combines machine learning, quantum computing via memristors
Startup Knowm's has a combo 'Anti-Hebbian and Hebbian' (AHaH) machine learning approach using memristors (others use one or the other, but only Knowm uses both at once) thus allowing the customer to define their own specific learning algorithm using the same building blocks.
"Knowm’s AHaH computing approach combines the best of machine learning and quantum computing via memristors," Chief Executive Officer Alex Nugent told EE Times in advance of the company's unveiling today. "Our neuromemristive processors use a low-level instruction set that can be combined in various ways to achieve any number of learning algorithms."
Many researchers take the “let’s decode the brain!” approach and want to simulate the brain on massive computer clusters. While this will most certainly provide insights into how the brain works, they will eventually be faced with the reality that that their simulations will not be able to compete on power, density and speed with other approaches that have addressed the issue directly.