Renesas Electronics had five patents in artificial intelligence during Q1 2024. The patents filed by Renesas Electronics Corp in Q1 2024 focus on improving processing efficiency in neural networks. They involve utilizing multiple banks in memory to store and transfer pixel data to parallel multiply-accumulate units, optimizing the processing of input data sets and weight parameters, and implementing a compressed weight parameter storage system to shorten processing time. These innovations aim to enhance the performance of semiconductor devices in neural network applications. GlobalData’s report on Renesas Electronics gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Renesas Electronics grant share with artificial intelligence as a theme is 40% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Semiconductor device (Patent ID: US20240104034A1)
The patent filed by Renesas Electronics Corp. describes a semiconductor device with a memory having multiple banks storing pixel data, n multiply-accumulate units, and controllers for transferring data between memory and units. A sequence controller coordinates the transfer of pixel data from specific pixel spaces in the memory to designated multiply-accumulate units using input channels. Additionally, the output DMA controller transfers data from the multiply-accumulate units back to the memory.
The semiconductor device's functionality is based on a neural network engine that processes neural networks, with a first memory storing weight parameters and a second memory storing pixel data. The device includes a processor, system bus, and memory bus to interconnect components. The sequence controller manages the transfer of pixel data from specific pixel spaces in the memory to designated multiply-accumulate units using input channels, as well as the transfer of data back to the memory. This design allows for efficient processing and manipulation of pixel data within the semiconductor device.
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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.
