A research team led by UCLA and the University of Rochester has demonstrated a promising evolution of an imaging system ...
Image courtesy by QUE.com The concept of health has undergone a radical transformation over the last decade. No longer viewed simply as ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Enterprise AI teams face a costly dilemma: ...
Abstract: In this research, we present the revolutionary ‘EffiDenseGenOp’ framework for Polycystic Ovary Syndrome (PCOS) detection, leveraging the amalgamation of Ensembled Transfer Learning Models.
Generative AI models use prompts to guide content generation and use transfer learning to become more proficient. Early genAI models were built with specific data types and applications in mind. For ...
The official opening of the Foster + Partners-designed Alibaba Shanghai Campus office building, rooted in the city's DNA of innovation and openness, redefines the traditional office environment. The ...
Abstract: The traditional approach for analyzing the quality of arecanuts is based on their external appearance. However, using machine learning and deep learning techniques, automated classifications ...
Introduction: Triply periodic minimal surface (TPMS) is widely used in the design of bone scaffolds due to its structural advantages. However, the current approach to designing bone scaffolds using ...
Research on specific domain question-answering technology has become important with the increasing demand for intelligent question-answering systems. This paper proposes a domain question-answering ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results