|
US2018204138A1
|
|
Autonomous vehicle
|
|
US2016004959A1
|
|
Memristor apparatus with meta-stable switching elements
|
|
US2016148091A1
|
|
Thermodynamic-RAM technology stack
|
|
US2015347899A1
|
|
Cortical processing with thermodynamic RAM
|
|
US2015286926A1
|
|
Anti-hebbian and hebbian computing with thermodynamic RAM
|
|
US2015074029A1
|
|
Thermodynamic random access memory for neuromorphic computing utilizing AHaH (anti-hebbian and hebbian) and memristor components
|
|
US2015019468A1
|
|
Thermodynamic computing
|
|
EP2994855A1
|
|
Universal machine learning building block
|
|
US2014192587A1
|
|
Thermodynamic bit formed of two memristors
|
|
US2014156576A1
|
|
Memristive neural processor utilizing anti-hebbian and hebbian technology
|
|
US2011145179A1
|
|
Framework for the organization of neural assemblies
|
|
US2009228415A1
|
|
Multilayer training in a physical neural network formed utilizing nanotechnology
|
|
US2007176643A1
|
|
Universal logic gate utilizing nanotechnology
|
|
US2006184466A1
|
|
Fractal memory and computational methods and systems based on nanotechnology
|
|
US2007005532A1
|
|
Plasticity-induced self organizing nanotechnology for the extraction of independent components from a data stream
|
|
US2006036559A1
|
|
Training of a physical neural network
|
|
US7392230B2
|
|
Physical neural network liquid state machine utilizing nanotechnology
|
|
US7412428B2
|
|
Application of hebbian and anti-hebbian learning to nanotechnology-based physical neural networks
|
