Nippon Telegraph and Telephone had 279 patents in artificial intelligence during Q4 2023. The Nippon Telegraph and Telephone Corp filed patents related to identifier generation, learning methods for topic modeling, voice signal conversion model learning, calculation processing systems for managing heat dissipation during virtual machine migration, and computer algorithms for evaluating participant behavior in group dialogues to improve estimation accuracy. GlobalData’s report on Nippon Telegraph and Telephone gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Nippon Telegraph and Telephone grant share with artificial intelligence as a theme is 44% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Discriminator generation device, discriminator generation method, and discriminator generation program (Patent ID: US20230419173A1)
The patent filed by Nippon Telegraph and Telephone Corp. describes an identifier generation device that processes flow data of applications to generate learning data sets for identifiers. The device calculates feature vectors from the flow data, converts them into similar feature vectors for the same type of application, clusters them, adds pseudo-labels, and updates identifier settings based on the learning data set provided.
The identifier generation device acquires flow data for each IP address, calculates statistical feature vectors, maps them to a latent space, and performs unsupervised clustering. It further processes flow data per predetermined time, calculates histograms of packet-related data, and conducts multiple unsupervised clustering iterations. Additionally, the device randomly selects feature vectors with pseudo-labels to create learning data sets and updates identifier settings based on identification accuracy. The method and program described in the patent outline the steps involved in acquiring, processing, and utilizing flow data to enhance identifier performance efficiently.
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