Results 121 to 130 of about 746,427 (311)
Distrust of Artificial Intelligence: Sources & Responses from Computer Science & Law [PDF]
, 2022 Cynthia Dwork, Martha Minow
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Two Series of Time in Logic, Natural Language, Computer Science and Artificial Intelligence
FILOSOFIE DNES, 2017 J. M. E. McTaggart famously divided time into two time series, which he entitled A-series and B-series. Although he was proponent of neither of them, his division initiated a discussion as to which of the series is prior or real. This paper follows Clifford Williams’s claim that these series are not as distant as their proponents argue they are.
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, 2005 This paper presents work on a collaborative project funded by the National Science Foundation that incorporates machine learning as a unifying theme to teach fundamental concepts typically covered in the introductory Artificial Intelligence courses.
Coleman, Susan +4 more
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Advanced Functional Materials, EarlyView.Many known diseases arise from dysregulated gene expression, and differentially expressed genes can serve as biomarkers to distinguish diseased cells from healthy tissues. In this study, reconfigurable nucleic acid nanoparticles (recNANPs) are introduced that can detect overexpressed cancer biomarkers and subsequently release RNAi inducers to silence ...
Yelixza I. Avila +7 more
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Advanced Functional Materials, EarlyView.This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu +6 more
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The Use of Artificial Intelligence Methods in Teaching Modern Computer Science
Artificial Intelligence (AI) has transformed computer science education by enhancing teaching methodologies, personalizing learning, and streamlining assessment. This paper discusses AI techniques, such as machine learning (ML) and natural language processing (NLP), that optimize computer science instruction, thereby improving student engagement and ...
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Advanced Functional Materials, EarlyView.AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu +5 more
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1. Expanded CODES Framework (Empirical Studies + Theory) 🔹 CODES: The Chirality of Dynamic Emergent Systems (Main Paper) 2. Introduction & High-Level Overview 🔹 CODES: High-Level Introduction 3. Structured Resonance & Emergent Intelligence 🔹 Structured Resonance and the Nature of Intelligence Abstract The evolution of computing, programming ...
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Recycling of Thermoplastics with Machine Learning: A Review
Advanced Functional Materials, EarlyView.This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
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