首页|Patent Application Titled 'Systems And Methods For Artificial- Intelligence Model Training Using Unsupervised Domain Adaptation With Multi-Source Meta-Distillation' Published Online (USPTO 20240046107)

Patent Application Titled 'Systems And Methods For Artificial- Intelligence Model Training Using Unsupervised Domain Adaptation With Multi-Source Meta-Distillation' Published Online (USPTO 20240046107)

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According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors CHI, Zhixiang (Markham, CA); GU, Li (Markham, CA); TANG, Jin (Markham, CA); WANG, Yang (Markham, CA); YU, Yuanhao (Markham, CA); ZHONG, Tao (Markham, CA), filed on October 14, 2022, was made available online on February 8, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “Artificial intelligence (AI) has been used in many areas. Generally, AI involves the use of a digital computer or a machine controlled by a digital computer to simulate, extend, and expand human intelligence, perceive an environment, obtain knowledge, and use the knowledge to obtain a best result. “AI methods, machines, and systems analyze a variety of data for perception, inference, and decision making. Examples of areas for AI include robots, natural language processing, computer vision, decision making and inference, man-machine interaction, recommendation and searching, basic theories of AI, and the like.

Artificial IntelligenceEmerging TechnologiesMachine LearningPatent Application

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.26)