main webpage W Topic Artificial Intelligence Sensors • Vol 25 • No 12 A Unified Deep-Domain Adaptation Framework: Advancing Feature Separability and Local Alignment 2025 In transfer learning, domain adaptation is one of the key research areas. For domain adaptation, domain shift is a known problem when the data distribution of the source domain, from which the training data is fetched, and the target domain, from which the te… Article Open Artificial Intelligence Open Article Page

Artificial Intelligence

Intelligence of machines Artificial intelligence ( AI ) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g. Critical Symbolic Virtual Narrative Open Artificial Intelligence Open Article Page

Exploring foci of: Sensors • Vol 25 • No 12 A Unified Deep-Domain Adaptation Framework: Advancing Feature Separability and Local Alignment 2025 In transfer learning, domain adaptation is one of the key research areas. For domain adaptation, domain shift is a known problem when the data distribution of the source domain, from which the training data is fetched, and the target domain, from which the test data is fetched, vary significantly. Aligning the source and target domains is a solution, but due to alignment, the intrinsic properties of the data may be altered. To address this issue of domain shift, we introduce a novel method, called “A Unified Deep-… Open Article Page

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Explore Artificial Intelligence W Topic Artificial Intelligence Sensors • Vol 25 • No 12 A Unified Deep-Domain Adaptation Framework: Advancing Feature Separability and Local Alignment 2025 In transfer learning, domain adaptation is one of the key research areas. For domain adaptation, domain shift is a known problem when the data distribution of the source domain, from which the training data is fetched, and the target domain, from which the te… Article Critical Symbolic Virtual Narrative Open Artificial Intelligence Open Article Page