Microchip Technology. has been granted a patent for a method that enhances the reading and verification of values in non-volatile memory cells within a vector-by-matrix multiplication array in artificial neural networks. The method involves sequentially applying input bits, generating signals, and processing outputs to yield a digital result. GlobalData’s report on Microchip Technology gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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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 July 2024 was 59%. Grant share is based on the ratio of number of grants to total number of patents.
Method for reading values in non-volatile memory cells
The granted patent US12075618B2 outlines a method for processing a sequence of input bits using an array of non-volatile memory cells. The method involves sequentially providing input bits to an input circuit, which generates an input signal for each bit. This signal is then applied to a selected non-volatile memory cell, and the output generated in response to the input bit is received by an output circuit. The output is converted into a digital format, and further processing includes shifting the digital output based on the bit's location and summing the results to yield a final digital output. The patent specifies that the selected memory cell can be a split-gate flash memory cell or part of a neural memory, and the input signal may consist of various components, including pulses and analog bias signals.
Additionally, the patent describes methods that incorporate specific features such as using a current summer for output generation and employing binary weighted values for the analog bias level. The claims also highlight the potential for the output value to be derived solely from pulse-width modulation inputs. The methods detailed in the patent provide a framework for efficiently processing input data through non-volatile memory systems, with applications that may extend to advanced memory architectures and neural computing.
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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.
