Microchip Technology. has been granted a patent for systems and methods involving a vector-by-matrix multiplication (VMM) array in artificial neural networks. The invention allows precise programming, verification, and reading of memory cells, enabling accurate determination of stored values during operations. GlobalData’s report on Microchip Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Microchip Technology, Adaptive video coding was a key innovation area identified from patents. Microchip Technology's grant share as of June 2024 was 59%. Grant share is based on the ratio of number of grants to total number of patents.

Circuit for reading and verifying values in memory cells

Source: United States Patent and Trademark Office (USPTO). Credit: Microchip Technology Inc

The granted patent US12046290B2 presents a circuit designed to determine the value stored in a memory cell during read or verify operations. The circuit includes a memory cell that outputs a current at an input node, a switch that pulls the input node to ground before the operation, and a capacitor connected to the memory cell. A comparator is employed, with one input linked to the input node and the other to a selection of voltage references. The output of the comparator indicates the stored value. Additional claims detail variations of the circuit, including configurations with transistors for holding memory cell current, array leakage compensation circuits, and specific types of memory cells such as split gate and stacked gate memory cells.

Further claims expand on the circuit's functionality, emphasizing the use of time-multiplexed voltage references for the comparator's second input. The design aims to enhance the accuracy and reliability of reading values from memory cells, addressing potential issues related to leakage and current holding. The inclusion of various configurations and components suggests a versatile approach to memory cell operations, potentially improving performance in memory applications.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.