Nice had 13 patents in artificial intelligence during Q4 2023. Nice Ltd filed patents in Q4 2023 for a machine learning system inducing neuron activity, analyzing financial data for fraud detection, automatically transmitting notices to publishers of negative content, allocating multi-functional resources, and building ensemble ML models for fraud predictions in extremely imbalanced datasets. GlobalData’s report on Nice gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Nice grant share with artificial intelligence as a theme is 61% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Ltp-induced online incremental deep learning (Patent ID: US20230394313A1)

The patent filed by Nice Ltd. describes a machine learning system and method that induce neuron activity in a neural network through a multilayer perceptron. The system involves modifying input neurons by adjusting connections and activation functions, running batches of data through the network until a set constraint is met, and generating predictions based on the adjustments. The method includes incremental learning cycles, selecting input neurons for modification, adjusting activation function thresholds, and resetting values after meeting constraints. The system can collect data from online sources and operate in real-time, with the learning cycle being repeated with different input neurons.

The machine learning system and method outlined in the patent focus on inducing neuron activity in a neural network through a multilayer perceptron. This involves modifying input neurons, adjusting connections and activation functions, and running data batches until a set constraint is reached to generate predictions. The system can operate in real-time with data from online sources, and the method includes incremental learning cycles, resetting values after constraints are met, and repeating the learning cycle with different input neurons. The patent emphasizes the selective neuron inducement operations and the adjustments made to enhance the learning process within the neural network.

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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.