Abstract:
Numerous embodiments of a precision programming algorithm and apparatus are disclosed for precisely and quickly depositing the correct amount of charge on the floating gate of a non-volatile memory cell within a vector-by-matrix multiplication (VMM) array in an artificial neural network. Selected cells thereby can be programmed with extreme precision to hold one of N different values.
Abstract:
Numerous embodiments of a precision tuning algorithm and apparatus are disclosed for precisely and quickly depositing the correct amount of charge on the floating gate of a non-volatile memory cell within a vector-by-matrix multiplication (VMM) array in an artificial neural network. Selected cells thereby can be programmed with extreme precision to hold one of N different values.
Abstract:
Numerous embodiments are disclosed for a configurable hardware system for use in an analog neural memory system for a deep learning neural network. The components within the configurable hardware system that are configurable can include vector-by-matrix multiplication arrays, summer circuits, activation circuits, inputs, reference devices, neurons, and testing circuits. These devices can be configured to provide various layers or vector-by-matrix multiplication arrays of various sizes, such that the same hardware can be used in analog neural memory systems with different requirements.
Abstract:
A memory device includes a plurality of memory cells and a controller. The controller is configured to program each of the memory cells to one of a plurality of program states, and to read the memory cells using a read operation of applied voltages to the memory cells. During the read operation, separations between adjacent ones of the program states vary based on frequencies of use of the program states in the plurality of memory cells.
Abstract:
A memory device includes a plurality of memory cells and a controller. The controller is configured to program each of the memory cells to one of a plurality of program states, and to read the memory cells using a read operation of applied voltages to the memory cells. During the read operation, separations between adjacent ones of the program states vary based on frequencies of use of the program states in the plurality of memory cells.
Abstract:
Numerous embodiments are disclosed for a configurable hardware system for use in an analog neural memory system for a deep learning neural network. The components within the configurable hardware system that are configurable can include vector-by-matrix multiplication arrays, summer circuits, activation circuits, inputs, reference devices, neurons, and testing circuits. These devices can be configured to provide various layers or vector-by-matrix multiplication arrays of various sizes, such that the same hardware can be used in analog neural memory systems with different requirements.
Abstract:
A memory device includes rows and columns of memory cells, word lines each connected to a memory cell row, bit lines each connected to a memory cell column, a word line driver connected to the word lines, a bit line driver connected to the bit lines, word line switches each disposed on one of the word lines for selectively connecting one memory cell row to the word line driver, and bit line switches each disposed on one of the bit lines for selectively connecting one memory cell column to the bit line driver. A controller controls the word line switches to connect only some of the rows of memory cells to the word line driver at a first point in time, and controls the bit line switches to connect only some of the columns of memory cells to the bit line driver at a second point in time.
Abstract:
A memory device that generates a unique identifying number, and includes a plurality of memory cells and a controller. Each of the memory cells includes first and second regions formed in a semiconductor substrate, wherein a channel region of the substrate extends between the first and second regions, a floating gate disposed over and insulated from a first portion of the channel region, and a select gate disposed over and insulated from a second portion of the channel region. The controller is configured to apply one or more positive voltages to the first regions of the memory cells while the memory cells are in a subthreshold state for generating leakage current through each of the channel regions, measure the leakage currents, and generate a number based on the measured leakage currents.
Abstract:
A three-dimensional NOR flash memory system is disclosed. The system optionally comprises configurable standard pins, a configurable output buffer, and a configurable input buffer.