Patent classifications
G11C2216/04
NEGATIVE VOLTAGE SWITCHING DEVICE AND NON-VOLATILE MEMORY DEVICE USING THE SAME
A negative voltage switching device includes a first switching circuit configured to transmit a first negative voltage, a second switching circuit configured to transmit a second negative voltage, and a switching selection circuit configured to select one of the first switching circuit or the second switching circuit for transmitting one of the first negative voltage and the second negative voltage to an output terminal
PRECISION TUNING OF A PAGE OR WORD OF NON-VOLATILE MEMORY CELLS IN AN ANALOG NEURAL MEMORY SYSTEM
Numerous examples for performing tuning of a page or a word of non-volatile memory cells in an analog neural memory are disclosed. In one example, a method comprises programming a word or page of non-volatile memory cells in an analog neural memory system; and identifying any fast bits in the word or page of non-volatile memory cells.
DETERMINATION OF A BIAS VOLTAGE TO APPLY TO ONE OR MORE MEMORY CELLS IN A NEURAL NETWORK
Numerous embodiments for improving an analog neural memory in a deep learning artificial neural network as to accuracy or power consumption as temperature changes are disclosed. In some embodiments, a method is performed to determine in real-time a bias value to apply to one or more memory cells in a neural network. In other embodiments, a bias voltage is determined from a lookup table and is applied to a terminal of a memory cell during a read operation.
VERIFICATION OF A WEIGHT STORED IN A NON-VOLATILE MEMORY CELL IN A NEURAL NETWORK FOLLOWING A PROGRAMMING OPERATION
Numerous examples are disclosed for verifying a weight programmed into a selected non-volatile memory cell in a neural memory. In one example, a circuit comprises a digital-to-analog converter to convert a target weight comprising digital bits into a target voltage, a current-to-voltage converter to convert an output current from the selected non-volatile memory cell during a verify operation into an output voltage, and a comparator to compare the output voltage to the target voltage during a verify operation.
Deep Learning Neural Network Classifier Using Non-volatile Memory Array
An artificial neural network device that utilizes one or more non-volatile memory arrays as the synapses. The synapses are configured to receive inputs and to generate therefrom outputs. Neurons are configured to receive the outputs. The synapses include a plurality of memory cells, wherein each of the memory cells includes spaced apart source and drain regions formed in a semiconductor substrate with a channel region extending there between, a floating gate disposed over and insulated from a first portion of the channel region and a non-floating gate disposed over and insulated from a second portion of the channel region. Each of the plurality of memory cells is configured to store a weight value corresponding to a number of electrons on the floating gate. The plurality of memory cells are configured to multiply the inputs by the stored weight values to generate the outputs.
SMEICONDUCTOR MEMORY DEVICE
A semiconductor memory device includes a substrate, a plurality of memory cells and at least one strap cell between the plurality of memory cells disposed along a first direction, a plurality of bit line (BL) contacts electrically connected to a plurality of drain doped regions of the plurality of memory cells, respectively, and at least one source line contact electrically connected to a diffusion region of the strap cell. The at least one source line contact is aligned with the plurality of BL contacts in the first direction.
Multi-type high voltage devices fabrication for embedded memory
Various embodiments of the present application are directed to an IC device and associated forming methods. In some embodiments, a memory region and a logic region are integrated in a substrate. A memory cell structure is disposed on the memory region. A plurality of logic devices disposed on a plurality of logic sub-regions of the logic region. A first logic device is disposed on a first upper surface of a first logic sub-region. A second logic device is disposed on a second upper surface of a second logic sub-region. A third logic device is disposed on a third upper surface of a third logic sub-region. Heights of the first, second, and third upper surfaces of the logic sub-regions monotonically decrease. By arranging logic devices on multiple recessed positions of the substrate, design flexibility is improved and devices with multiple operation voltages are better suited.
Flash Memory Array With Individual Memory Cell Read, Program And Erase
A memory device that provides individual memory cell read, write and erase. In an array of memory cells arranged in rows and columns, each column of memory cells includes a column bit line, a first column control gate line for even row cells and a second column control gate line for odd row cells. Each row of memory cells includes a row source line. In another embodiment, each column of memory cells includes a column bit line and a column source line. Each row of memory cells includes a row control gate line. In yet another embodiment, each column of memory cells includes a column bit line and a column erase gate line. Each row of memory cells includes a row source line, a row control gate line, and a row select gate line.
Semiconductor device
A semiconductor device includes: a semiconductor substrate; a first transistor provided at an upper surface of the semiconductor substrate; and a first capacitor provided above the first transistor and connected to a gate of the first transistor. A tunnel current is able to flow between the gate and the semiconductor substrate.
Bias control for memory cells with multiple gate electrodes
Disclosed herein are related to a memory device including a memory cell and a bias supply circuit providing a bias voltage to the memory cell. In one aspect, the bias supply circuit includes a bias memory cell coupled to the memory cell, where the bias memory cell and the memory cell may be of a same semiconductor conductivity type. The memory cell may include at least two gate electrodes, and the bias memory cell may include at least two gate electrodes. In one configuration, the bias memory cell includes a drain electrode coupled to one of the at least two gate electrodes of the bias memory cell. In this configuration, the bias voltage provided to the memory cell can be controlled by regulating or controlling current provided to the drain electrode of the bias memory cell.