Microchip Technology had 27 patents in artificial intelligence during Q1 2024. Microchip Technology Inc has filed patents for input circuitry, verification circuitry, transistor circuits, memory cell arrays, and neural network devices in Q1 2024. These patents cover various methods and systems for artificial neural networks, including address decoders, non-volatile memory cells, input transistors, output transistors, analog-to-digital converters, synapses, and weight values stored in memory cells. 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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Microchip Technology grant share with artificial intelligence as a theme is 37% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Input circuit for artificial neural network array (Patent ID: US20240104357A1)
The patent filed by Microchip Technology Inc. discloses input circuitry and methods for an artificial neural network. The system includes address decoders, registers for storing activation data, and buffers for driving non-volatile memory cells during read operations. The method involves outputting row enabling signals, sequentially storing activation data, and then storing it in parallel for efficient processing. Additionally, the system utilizes static random access memory to provide activation data to the registers, enhancing the overall functionality of the neural network.
Furthermore, the patent describes a system with registers storing activation data and tag bits, where the output is based on the value of the tag bits. This innovative approach allows for selective output of activation data based on specific criteria, improving the precision and efficiency of the neural network. The method involves driving memory cells based on the activation data output from the registers, showcasing a comprehensive and integrated approach to neural network operations. Overall, the patent presents a detailed and structured system for processing activation data in artificial neural networks, enhancing their performance and functionality.
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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.
