main webpage W Topic Artificial Intelligence The European Physical Journal C • Vol 83 • No 7 Parton labeling without matching: unveiling emergent labelling capabilities in regression models 2023 Abstract Parton labeling methods are widely used when reconstructing collider events with top quarks or other massive particles. State-of-the-art techniques are based on machine learning and require training data with events that have been matched using simul… 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: The European Physical Journal C • Vol 83 • No 7 Parton labeling without matching: unveiling emergent labelling capabilities in regression models 2023 Abstract Parton labeling methods are widely used when reconstructing collider events with top quarks or other massive particles. State-of-the-art techniques are based on machine learning and require training data with events that have been matched using simulations with truth information. In nature, there is no unique matching between partons and final state objects due to the properties of the strong force and due to acceptance effects. We propose a new approach to parton labeling that circumvents these challenge… Open Article Page

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Explore Artificial Intelligence W Topic Artificial Intelligence The European Physical Journal C • Vol 83 • No 7 Parton labeling without matching: unveiling emergent labelling capabilities in regression models 2023 Abstract Parton labeling methods are widely used when reconstructing collider events with top quarks or other massive particles. State-of-the-art techniques are based on machine learning and require training data with events that have been matched using simul… Article Critical Symbolic Virtual Narrative Open Artificial Intelligence Open Article Page