Group 1 - The core point of the article is that Yuntian Lifei (688343) has filed an international patent application for a "Question and Answer Model Training Method, Question and Answer Method, Device, and Terminal Equipment" with the application number PCT/CN2024/129964, which will be published internationally on February 19, 2026 [1] - Yuntian Lifei has announced a total of 7 international patent applications this year [1] - In the first half of 2025, the company invested 203 million yuan in research and development, representing a year-on-year increase of 11.87% [1]

Group 1 - Beijing Xiaomi Mobile Software Co., Ltd. and Beijing Xiaomi Pinecone Electronics Co., Ltd. have applied for a patent titled "Question and Answer Method, Device, Electronic Equipment, Storage Medium, and Product" with publication number CN121350196A, filed on September 2025 [1] - The patent abstract describes a question and answer method that includes obtaining a target question to determine events occurring to a target object in an information flow, and generating a target answer based on the event's category [1] - The method aims to meet user needs for both status and historical statistics [1] Group 2 - Beijing Xiaomi Mobile Software Co., Ltd. was established in 2012, located in Beijing, primarily engaged in software and information technology services, with a registered capital of 148.8 million RMB [1] - The company has made investments in 4 enterprises, participated in 149 bidding projects, holds 5000 patent records, and possesses 123 administrative licenses [1] - Beijing Xiaomi Pinecone Electronics Co., Ltd. was founded in 2014, also located in Beijing, primarily focused on retail, with a registered capital of 25 million RMB [2] - The company has invested in 1 enterprise, has 15 trademark records, 1179 patent records, and holds 5 administrative licenses [2]

Group 1 - The core point of the news is that iFlytek Co., Ltd. has applied for a patent related to a hybrid expert network training method, which aims to reduce memory usage during the training process by optimizing the forward and backward propagation steps [1] - The patent application was published under the number CN120258046A, with the application date being June 2025 [1] - The technology described in the patent involves integrating layers in a way that minimizes the need to store large amounts of data, thus enhancing efficiency in machine learning processes [1] Group 2 - iFlytek Co., Ltd. was established in 1999 and is based in Hefei, primarily engaged in software and information technology services [2] - The company has a registered capital of approximately 2311.73 million RMB [2] - iFlytek has made investments in 129 companies and has participated in 5000 bidding projects, holding 2736 trademark records and 5000 patent records [2]