TDK had ten patents in artificial intelligence during Q2 2024. The patents filed by TDK Corp in Q2 2024 include a method for one bit quantization of data using a neural network with a regularizer to force weights to converge to binary integers, a magnetic domain wall moving element with specific electrode connections, and a signal processor with an input unit, analog-digital converter, control circuit, and reservoir unit for extracting and processing analog signals. GlobalData’s report on TDK gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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TDK had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Data quantization (Patent ID: US20240185066A1)
The patent filed by TDK Corp. describes a method for performing one bit quantization of data using a neural network. The method involves receiving data for training, applying it to a classifier to determine classification probabilities, and using a loss function with a regularizer to force weights to converge to binary integers. The regularizer has a smooth curve with a continuously turning tangent at a midpoint, ensuring accurate quantization of weights.
Additionally, the patent includes claims for methods of N bit quantization, incorporating different regularizers such as Euclidean, Cosinus, and Manhattan, as well as decay functions to facilitate convergence. The system described in the patent includes a memory and processor configured to implement the quantization process, outputting either one bit or N bit quantized weights based on the application requirements. The system can also multiplex data, scale it according to multipliers, and apply decay functions to ensure convergence to binary integers, enhancing the accuracy and efficiency of the quantization process.
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