Renesas Electronics had seven patents in artificial intelligence during Q4 2023. The patent filed by Renesas Electronics Corp in Q4 2023 describes a semiconductor device that reduces power consumption by detecting and handling zero weight parameters efficiently. The device exchanges weight parameters and controls multiplier groups to ensure multiplication results are zero, ultimately disabling specific multiplier groups to save power. Additionally, pixel data transfer to the data input buffer is optimized based on these exchanges. GlobalData’s report on Renesas Electronics gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Renesas Electronics grant share with artificial intelligence as a theme is 28% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Semiconductor device (Patent ID: US20230376415A1)

The patent filed by Renesas Electronics Corp. describes a semiconductor device designed to reduce power consumption during neural network processing. The device includes multiple multiplier groups, memory for storing weight parameters and pixel data, Direct Memory Access (DMA) controllers, and a group controller. The group controller detects zero weight parameters among those to be transferred, exchanges them to ensure zero multiplication results in a target multiplier group, disables the group, and adjusts the pixel data accordingly. Additionally, the device may include adders, a switch circuit, and a decompressor for compressed weight parameters.

Furthermore, the semiconductor device is structured as a single chip with a neural network engine, memory, processor, and bus. The neural network engine consists of multiplier groups, weight parameter and data input buffers, DMA controllers, and the group controller. This configuration allows for efficient processing by detecting and handling zero weight parameters, adjusting multiplication results, and controlling the multiplier groups to optimize power consumption. The device may also include adders, a switch circuit, and a decompressor for compressed weight parameters, enhancing its capabilities for neural network processing while minimizing power usage.

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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.