A semiconductor device includes a lower silicon layer comprising a first area and a second area. The lower silicon layer in the first area includes a first silicon oxide layer, a first upper silicon layer disposed above the first silicon oxide layer, and a first metal gate disposed above the first upper silicon layer. The lower silicon layer in the second area includes a second silicon oxide layer, a plurality of first doped silicon gates disposed above the second silicon oxide layer, and a plurality of portions of a second doped silicon gate disposed above the second silicon oxide layer. The plurality of first doped silicon gates and the plurality of portions of the second doped silicon gate are alternatively arranged with each other. The lower silicon layer in the second area also includes a plurality of second metal gates disposed directly above the plurality of first doped silicon gates, respectively.

Systems and methods of configuring a fixed memory array of an integrated circuit with coefficients of one or more applications includes identifying a utilization constraint type of the fixed memory array from a plurality of distinct utilization constraint types based on computing attributes of the one or more applications; identifying at least one coefficient mapping technique from a plurality of distinct coefficient mapping techniques that addresses the utilization constraint type; configuring the fixed memory array according to the at least one coefficient mapping technique, wherein configuring the array includes at least setting within the array the coefficients of the one or more applications in an arrangement prescribed by the at least one coefficient mapping technique that optimizes a computational utilization of the fixed memory array.

The application relates to an architecture that allows for less precision of demarcation read voltages by combining two physical memory cells into a single logical bit. Reciprocal binary values may be written into the two memory cells that make up a memory pair. When activated using bias circuitry and address decoders the memory cell pair creates current paths having currents that may be compared to detect a differential signal. The application is also directed to writing and reading memory cell pairs.

A circuit for performing energy-efficient and high-throughput multiply-accumulate (MAC) arithmetic dot-product operations and convolution computations includes a two dimensional crossbar array comprising a plurality of row inputs and at least one column having a plurality of column circuits, wherein each column circuit is coupled to a respective row input. Each respective column circuit includes an excitatory memristor neuron circuit having an input coupled to a respective row input, a first synapse circuit coupled to an output of the excitatory memristor neuron circuit, the first synapse circuit having a first output, an inhibitory memristor neuron circuit having an input coupled to the respective row input, and a second synapse circuit coupled to an output of the inhibitory memristor neuron circuit, the second synapse circuit having a second output. An output memristor neuron circuit is coupled to the first output and second output of each column circuit and has an output.

This invention relates to memtransistors, fabricating methods and applications of the same. The memtransistor includes a polycrystalline monolayer film of an atomically thin material. The polycrystalline monolayer film is grown directly on a sapphire substrate and transferred onto an SiO.sub.2/Si substrate; and a gate electrode defined on the SiO.sub.2/Si substrate; and source and drain electrodes spatially-apart formed on the polycrystalline monolayer film to define a channel region in the polycrystalline monolayer film therebetween. The gate electrode is capacitively coupled with the channel region.

A method for writing to a memory is disclosed. The method includes generating a write current that flows to a memory cell of the memory, generating a mirror current that mirrors the write current, and inhibiting application of a write voltage to the memory cell of the memory based on the mirror current. A device that performs the method is also disclosed. A memory that includes the device is also disclosed.

A semiconductor memory cell and arrays of memory cells are provided In at least one embodiment, a memory cell includes a substrate having a top surface, the substrate having a first conductivity type selected from a p-type conductivity type and an n-type conductivity type; a first region having a second conductivity type selected from the p-type and n-type conductivity types, the second conductivity type being different from the first conductivity type, the first region being formed in the substrate and exposed at the top surface; a second region having the second conductivity type, the second region being formed in the substrate, spaced apart from the first region and exposed at the top surface; a buried layer in the substrate below the first and second regions, spaced apart from the first and second regions and having the second conductivity type; a body region formed between the first and second regions and the buried layer, the body region having the first conductivity type; a gate positioned between the first and second regions and above the top surface; and a nonvolatile memory configured to store data upon transfer from the body region.

An improved electronic mixed mode multiplier and accumulate circuit for artificial intelligence and computing system applications that perform vector-vector, vector-matrix and other multiply-accumulate computations. The circuit is provided is a high resolution, high linearity, low area, low power multiply—accumulate (MAC) unit to interface with a memory device for storing computation output results. The MAC unit uses a less number of current carrying elements resulting in much lower integrated circuit area, and provides a tight matching between the current elements thus preserving inherent linearity requirements due to current mode operation. Further the MAC performs current scaling using switches and current division where the current switches occupy minimum size transistors requiring a small area to implement that renders it compatible with MRAM such as a magnetic tunnel junction device. The MAC is hierarchically extended for increased number of bits to provide a delay implementation using orthogonal vector and current addition.

An output, representing synaptic weights of a neural network can be received from first memory elements. The output can be compared to a known correct output. A random number can be generated with a tuned bias via second memory elements. The weights can be updated based on the random number and a difference between the output and the known correct output.

Technologies relating to CMOS image sensors with integrated Resistive Random-Access Memory (RRAMs) units that provide energy efficient analog storage, ultra-high speed analog storage, and in-memory computing functions are disclosed. An example CMOS image sensor with integrated RRAM crossbar array circuit includes a CMOS image sensor having multiple pixels configured to receive image signals; a column decoder configured to select the pixels in columns to read out; a row decoder configured to select the pixels in rows to read out; an amplifier configured to amplify first signals received from the CMOS image sensor; a multiplexer configured to sequentially or serially read out second signals received from the amplifier; and a first RRAM crossbar array circuit configured to store third signals received from the multiplexer.