Ricoh had 33 patents in artificial intelligence during Q1 2024. The patents filed by Ricoh Co Ltd in Q1 2024 include systems and methods for validating an autoencoder for a printing system, an information processing apparatus that outputs answer information based on inquiry information, an information processing system that acquires and distributes profile information for print output, and an information processing system that searches minutes using user information as a search key and transmits the search result to a terminal apparatus. GlobalData’s report on Ricoh gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Ricoh grant share with artificial intelligence as a theme is 57% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Validation of autoencoders that perform timestamp compression for printing system data (Patent ID: US20240086711A1)
The patent filed by Ricoh Co Ltd. describes systems and methods for validating an autoencoder in a printing system. The system stores values and times associated with individual features, compresses the data using an autoencoder, and validates it by comparing predictive powers of features before and after compression through partial F tests. If the differences in predictive powers are within a threshold, the autoencoder is deemed valid, and a report is generated for the user. Additionally, the system can use the autoencoder to train a machine learning model if the validation criteria are met.
The claims further detail the process, including the use of partial F tests to determine predictive powers, comparing sets of f-values and p-values, and iteratively testing different groups of features. The autoencoder performs time-compression by estimating values at predetermined times based on stored data. The features involved in the validation process include fan speed, print medium temperature, fan temperature, print medium speed, print medium alignment, and ink consumption. The patent also covers a non-transitory computer-readable medium embodying programmed instructions and a method for validating the autoencoder, emphasizing the importance of determining differences in predictive powers before and after compression to ensure the autoencoder's effectiveness in the printing system.
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