AIMC Topic: Problem Solving

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Computational Thinking Training and Deep Learning Evaluation Model Construction Based on Scratch Modular Programming Course.

Computational intelligence and neuroscience Feb 22, 2023
To improve the algorithmic dimension, critical thinking, and problem-solving ability of computational thinking (CT) in students' programming courses, first, a programming teaching model is constructed based on the scratch modular programming course. ...
Students Deep Learning Algorithms Humans Problem Solving Thinking
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Interaction with Industrial Digital Twin Using Neuro-Symbolic Reasoning.

Sensors (Basel, Switzerland) Feb 3, 2023
Digital twins have revolutionized manufacturing and maintenance, allowing us to interact with virtual yet realistic representations of the physical world in simulations to identify potential problems or opportunities for improvement. However, traditi...
Humans Artificial Intelligence Natural Language Processing Problem Solving Language Technology
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DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing.

Journal of biomedical informatics Jan 25, 2023
The meaningful use of electronic health records (EHR) continues to progress in the digital era with clinical decision support systems augmented by artificial intelligence. A priority in improving provider experience is to overcome information overloa...
Natural Language Processing Problem Solving Humans Artificial Intelligence Information Storage and Retrieval Benchmarking
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Emulating future neurotechnology using magic.

Consciousness and cognition Dec 23, 2022
Recent developments in neuroscience and artificial intelligence have allowed machines to decode mental processes with growing accuracy. Neuroethicists have speculated that perfecting these technologies may result in reactions ranging from an invasion...
Problem Solving Neurosciences Prospective Studies Humans Artificial Intelligence Forecasting
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Self-regulated learning and the future of diagnostic reasoning education.

Diagnosis (Berlin, Germany) Dec 8, 2022
Diagnostic reasoning is a foundational ability of health professionals. The goal of enhancing clinical reasoning education is improved diagnostic accuracy and reduced diagnostic error. In order to do so, health professions educators need not only hel...
Diagnostic Errors Problem Solving Computer Simulation Humans Health Personnel Artificial Intelligence
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On a Finitely Activated Terminal RNN Approach to Time-Variant Problem Solving.

IEEE transactions on neural networks and learning systems Nov 30, 2022
This article concerns with terminal recurrent neural network (RNN) models for time-variant computing, featuring finite-valued activation functions (AFs), and finite-time convergence of error variables. Terminal RNNs stand for specific models that adm...
Problem Solving Neural Networks, Computer Neurons
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Utilizing artificial intelligence to solving time - cost - quality trade-off problem.

Scientific reports Nov 22, 2022
This study presents the Slime Mold Algorithm (SMA) to solve the time-cost-quality trade-off problem in a construction project. The proposed SMA is a flexible and efficient algorithm in exploration and exploitation to reach the best optimal solution t...
Physarum polycephalum Problem Solving Algorithms Cell Movement Artificial Intelligence
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Deep Learning Model for the Image Fusion and Accurate Classification of Remote Sensing Images.

Computational intelligence and neuroscience Nov 22, 2022
Deep learning is widely used for the classification of images that have various attributes. Image data are used to extract colour, texture, form, and local features. These features are combined in feature-level image fusion to create a merged remote ...
Remote Sensing Technology Deep Learning Principal Component Analysis Problem Solving Neural Networks, Computer
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Multiagent-Based Data Presentation Mechanism for Multifaceted Analysis in Network Management Tasks.

Sensors (Basel, Switzerland) Nov 15, 2022
Although network management tasks are highly automated using big data and artificial intelligence technologies, when an unforeseen cybersecurity problem or fault scenario occurs, administrators sometimes directly analyze system data to make a heurist...
Heuristics Computer Security Big Data Artificial Intelligence Problem Solving
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Capturing advanced human cognitive abilities with deep neural networks.

Trends in cognitive sciences Nov 2, 2022
How can artificial neural networks capture the advanced cognitive abilities of pioneering scientists? I suggest they must learn to exploit human-invented tools of thought and human-like ways of using them, and must engage in explicit goal-directed pr...
Neural Networks, Computer Cognition Learning Humans Problem Solving
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