首页|Study Results from Penza State Technological University in the Area of Artificia l Intelligence Published (Matching visually observed 3D model to original refere nce object)
Study Results from Penza State Technological University in the Area of Artificia l Intelligence Published (Matching visually observed 3D model to original refere nce object)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in artificial intelligence. According to news reporting from Penza State Technologi cal University by NewsRx journalists, research stated, "In the development of a visual environment simulator or a thermal imager simulator, one of the challenge s encountered when assessing the external appearance of engineering structures i s the need to ensure the correspondence of the developed 3D model of a reference object to the original 3D object." The news journalists obtained a quote from the research from Penza State Technol ogical University: "Since creating a complete model is currently impractical, th e criterion for assessment is based on the conformity of forming specified compo nents of the cognitive model of a human observer necessary in their professional activities. Research has shown that to address this challenge, it is advisable to choose one of the artificial intelligence methods to entrust it with the task of evaluating the developed 3D model and minimize the subjectivity in the decis ion-making process of ‘whether the external appearance of the 3D model meets the client's requirements.' The article proposes using deductive reasoning in ChatG PT to assess the conformity of the external appearance of a 3D model to a specif ied 3D object by representing the model as incomplete sequences and evaluating i ts ability to complete them in accordance with conclusions made by humans. The s uggested approach involves solving the problem based on scenarios where humans f ormulate logical conclusions from provided information, followed by the applicat ion of ChatGPT in processing the presented sequences of conclusions. A comparati ve analysis is presented to determine the extent to which ChatGPT demonstrates d eductive reasoning and how closely it aligns with human deductive models."
Penza State Technological UniversityAr tificial IntelligenceEmerging TechnologiesMachine Learning
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