Results 71 to 80 of about 81,239,174 (287)

Exploring Artificial Intelligence Through Image Recognition

, 2017
This demonstration showcases the different use cases of Artificial Intelligence (AI) in education by introducing students to applications of the Scribbler robot with the Fluke board in order to cultivate an interest in programming, robotics, and AI.
Staruk, Elizabeth, Tejada, Sheila, Zhou, Bingjie, Fargas, Kelsey   +3 more
core   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Exploration of Design Alternatives for Reducing Idle Time in Shor's Algorithm: A Study on Monolithic and Distributed Quantum Systems

IEEE Transactions on Quantum Engineering
Shor's algorithm is one of the most prominent quantum algorithms, yet finding efficient implementations remains an active research challenge. While many approaches focus on low-level modular arithmetic optimizations, a broader perspective can ...
Moritz Schmidt, Abhoy Kole, Leon Wichette, Rolf Drechsler, Frank Kirchner, Elie Mounzer   +5 more
doaj   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

A 2 to 16 GHz dual polarized end fire ETS array with corrugated edges for unified ECC evaluation framework

Scientific Reports
This paper presents a reusable evaluation framework for broadband dual-linearly polarized end-fire multiple-input–multiple-output (MIMO) arrays based on exponentially tapered slot (ETS) elements. A 2 × 2 ETS subarray operating from 2 to 16 GHz is used as
Zihe Wang, Mengxin Li, Zi-Neng Ng, Khuzairi Masrakin, A. R. A. Rahman, Wei Hown Tee, Yu Chen Lee, Chia Chao Kang   +7 more
doaj   +1 more source

Learn to Make Decision with Small Data for Autonomous Driving: Deep Gaussian Process and Feedback Control

Journal of Advanced Transportation, 2020
Autonomous driving is a popular and promising field in artificial intelligence. Rapid decision of the next action according to the latest few actions and status, such as acceleration, brake, and steering angle, is a major concern for autonomous driving ...
Wenqi Fang, Shitian Zhang, Hui Huang, Shaobo Dang, Zhejun Huang, Wenfei Li, Zheng Wang, Tianfu Sun, Huiyun Li   +8 more
doaj   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

Asymptotically Unambitious Artificial General Intelligence

, 2020
General intelligence, the ability to solve arbitrary solvable problems, is supposed by many to be artificially constructible. Narrow intelligence, the ability to solve a given particularly difficult problem, has seen impressive recent development ...
Vellambi, Badri, Hutter, Marcus, Cohen, Michael   +2 more
core   +1 more source