Are you interested in artificial intelligence, neuromorphic computing, or neuromemristive processors? Do you want to learn about the future of intelligent machine technology? Then make sure to read about our technology page, the articles on our blog and join the discussions on our social media pages such as reddit.com/r/knowm. We welcome you to explore the site and contact us if you have any questions.
Are you interested in building brains or other electric circuits with memristors? Then check out our online shop, get your hands on some memristors and our Memristor Discovery board, which lets you run your own experiments on memristors and memristor circuits.
By looking at nature and thermodynamics, we were able to develop a new computational framework, fundamentally different from von Neumann architecture (regular ol’ digital computers) and quantum computers, called AHaH Computing (Anti-Hebbian and Hebbian), which aims to reduce the size and power consumption of intelligent machine learning applications by up to 9 orders of magnitude. The fundamental building block of AHaH Computing is not a transistor nor a q-bit, but a differential pair of memristors, we call a Thermodynamic-synapse or kT-synapse for short. The computers of the future will be made of kT-synapses and we’re already seeing it being developed all over the place from university labs to the R&D departments of giant tech companies.
Interested in the gory details? Check out our 2014 PLOS paper titled AHaH Computing–From Metastable Switches to Attractors to Machine Learning.
For more information, visit knowm.org/learn.