AIMC Topic: Learning

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RM-GPT: Enhance the comprehensive generative ability of molecular GPT model via LocalRNN and RealFormer.

Artificial intelligence in medicine Feb 27, 2024
Due to the surging of cost, artificial intelligence-assisted de novo drug design has supplanted conventional methods and become an emerging option for drug discovery. Although there have arisen many successful examples of applying generative models t...
Learning Artificial Intelligence
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Design and preliminary validation of a high-fidelity vascular simulator for robot-assisted manipulation.

Scientific reports Feb 27, 2024
The number of robot-assisted minimally invasive surgeries is increasing annually, together with the need for dedicated and effective training. Surgeons need to learn how to address the novel control modalities of surgical instruments and the loss of ...
Computer Simulation Feedback Learning Humans Clinical Competence Robotics Physical Examination
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Continuous Gesture Control of a Robot Arm: Performance Is Robust to a Variety of Hand-to-Robot Maps.

IEEE transactions on bio-medical engineering Feb 26, 2024
OBJECTIVE: Despite advances in human-machine-interface design, we lack the ability to give people precise and fast control over high degree of freedom (DOF) systems, like robotic limbs. Attempts to improve control often focus on the static map that l...
Hand Humans Movement Robotics Gestures Learning
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Artificial intelligence and explanation: How, why, and when to explain black boxes.

European journal of radiology Feb 23, 2024
Artificial intelligence (AI) is infiltrating nearly all fields of science by storm. One notorious property that AI algorithms bring is their so-called black box character. In particular, they are said to be inherently unexplainable algorithms. Of cou...
Physical Examination Radiologists Algorithms Learning Artificial Intelligence Humans
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SecureNet: Proactive intellectual property protection and model security defense for DNNs based on backdoor learning.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2024
With the widespread application of deep neural networks (DNNs), the risk of privacy breaches against DNN models is constantly on the rise, resulting in an increasing need for intellectual property (IP) protection for such models. Although neural netw...
Algorithms Neural Networks, Computer Intellectual Property Learning
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Some suggestions for 'A checklist for reporting, reading and evaluating Artificial Intelligence Technology Enhanced Learning (AITEL) research in medical education'.

Medical teacher Feb 21, 2024
Humans Artificial Intelligence Education, Medical Checklist Learning
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Robust noise-aware algorithm for randomized neural network and its convergence properties.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2024
The concept of randomized neural networks (RNNs), such as the random vector functional link network (RVFL) and extreme learning machine (ELM), is a widely accepted and efficient network method for constructing single-hidden layer feedforward networks...
Algorithms Learning Neural Networks, Computer
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The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task.

Sensors (Basel, Switzerland) Feb 15, 2024
During the learning of a new sensorimotor task, individuals are usually provided with instructional stimuli and relevant information about the target task. The inclusion of haptic devices in the study of this kind of learning has greatly helped in th...
Motor Skills Algorithms Humans Robotics Learning
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scMGCN: A Multi-View Graph Convolutional Network for Cell Type Identification in scRNA-seq Data.

International journal of molecular sciences Feb 13, 2024
Single-cell RNA sequencing (scRNA-seq) data reveal the complexity and diversity of cellular ecosystems and molecular interactions in various biomedical research. Hence, identifying cell types from large-scale scRNA-seq data using existing annotations...
Single-Cell Analysis Single-Cell Gene Expression Analysis Gene Expression Profiling Cluster Analysis Sequence Analysis, RNA Learning Ecosystem Artificial Intelligence Biomedical Research Algorithms
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Audio-Visual Kinship Verification: A New Dataset and a Unified Adaptive Adversarial Multimodal Learning Approach.

IEEE transactions on cybernetics Feb 9, 2024
Facial kinship verification refers to automatically determining whether two people have a kin relation from their faces. It has become a popular research topic due to potential practical applications. Over the past decade, many efforts have been devo...
Learning Machine Learning Attention Humans
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