Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a deep learning algorithm that ...
Large language models power everyday tools and reshape modern digital work.Beginner and advanced books together create a ...
Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Chris Phillips, VP and GM of Education at Google, says AI can help students deepen their understanding of concepts, enhance critical thinking, and foster creativity, while freeing up teachers to focus ...
Abstract: The increasing complexity of optical communication systems and networks necessitates advanced methodologies for extracting valuable insights from vast and heterogeneous datasets. Machine ...
Abstract: Global Navigation Satellite System (GNSS) is essential for unmanned systems and location-based technologies, providing critical geospatial information for navigation and situational ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
Background: Diabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies ...
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