ROHM had no grants in artificial intelligence as a theme in Q2 2024.

Recent Patents

Application: Machine learning device (Patent ID: US20240211809A1)

The patent filed by ROHM Co Ltd describes a machine learning device that includes a data conversion unit to convert time series data into frequency feature quantity data, a machine learning inference unit for performing machine learning based on the frequency data, and a computation circuit unit used by both the data conversion and machine learning units. The device also includes a control unit for selecting computation inputs and methods, with the computation circuit capable of executing various types of computations such as matrix, vector, and scalar operations.

Additionally, the machine learning device can convert time series data using Hadamard, discrete Fourier, or discrete cosine transforms, with the computation circuit performing the necessary computations. The machine learning inference unit utilizes a neural network with a fully-connected layer, where the computation circuit executes computations within this layer. The device also includes a learning unit for machine learning, with the computation circuit being commonly used by all units. Furthermore, the computation circuit operates by calculating memory addresses, reading inputs and operator data, executing computations, and writing outputs, with the process starting before completion for efficiency. Overall, the machine learning device is capable of processing vibration data from sensors as time series input.

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