| 摘要 |
A universal machine learning building block, comprising in some embodiments a differential pair of output electrodes, wherein each electrode comprises a plurality of input lines coupled to it via collections of meta-stable switches. In other embodiments, a methodology can be implemented in the context of hardware and/or software for deriving linear neurons implementing an AHaH plasticity rule, and generating an AHaH node(s) that can include one or more such linear neurons, wherein the AHaH node{s) functions according to an AHaH rule. Some embodiments can also include an AHaH classifier and/or AHaH cluster that include one or more such AHaH nodes. |
