Results 41 to 50 of about 88,920 (217)
Advances in Artificial Intelligence Require Progress Across all of Computer Science
, 2017 Advances in Artificial Intelligence require progress across all of computer science.
Hager, Gregory D. +4 more
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Advanced Functional Materials, EarlyView.This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner +9 more
wiley +1 more source
Synchrotron Radiation for Quantum Technology
Advanced Functional Materials, EarlyView.Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader +10 more
wiley +1 more source
Correction to: Advances in Artificial Intelligence, Computation, and Data Science [PDF]
, 2021 Hong Yan +3 more
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Engineering Strategies for 2D Layered Tin Halide Perovskite Field‐Effect Transistors
Advanced Functional Materials, EarlyView.2D halide perovskites are promising candidates for field‐effect transistor (FET) applications due to their high stability and suppressed ion migration in the presence of bulky organic spacers. This review systematically summarizes the optimization engineering strategies of 2D perovskite FETs and future challenges, which provide guidance for developing ...
Shuanglong Wang +4 more
wiley +1 more source
Research on Computer Science and Artificial Intelligence [PDF]
Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016), 2016 Xinyang Wang, Qi Wang
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Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
Advanced Functional Materials, EarlyView.This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer +10 more
wiley +1 more source
Artificial Intelligence (ChatGPT) and Bloom’s Taxonomy in Theoretical Computer Science Education
Applied SciencesThe study focuses on evaluating the performance of AI-based tools, specifically ChatGPT versions 3.5 and 4.0, in comparison to human students in the field of Theoretical Computer Science Education. The experiment aims to assess the capabilities of both AI and human subjects in solving learning tasks based on Bloom’s Taxonomy.
Hashim Habiballa +4 more
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Advanced Functional Materials, EarlyView.This study introduces a self‐powered real‐time ionic TENG temperature sensing system for flexible thermal management with high and real‐time temperature monitoring. Ionic liquids and elastomer chains are investigated under temperature via electrochemical and physical analysis, resulting in enhancing thermal sensitivity and output performance on TENG ...
Hee Jae Hwang +9 more
wiley +1 more source
Artificial intelligence in computer science and mathematics education [PDF]
, 2019 In this thesis I examine how Artificial Intelligence (AI) techniques can help Computer Science students learn programming and mathematics skills more efficiently using algorithms and concepts such as Predictive Modelling, Machine Learning, Deep Learning, Representational Learning, Recommender Systems and Graph Theory.
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