AIMC Topic: Computer Systems

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Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery.

IEEE transactions on neural networks and learning systems Aug 31, 2021
Symbolic regression is a powerful technique to discover analytic equations that describe data, which can lead to explainable models and the ability to predict unseen data. In contrast, neural networks have achieved amazing levels of accuracy on image...
Humans Biomechanical Phenomena Deep Learning Computer Systems Linear Models Neural Networks, Computer Research Design Feedback
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Deep ReLU neural networks in high-dimensional approximation.

Neural networks : the official journal of the International Neural Network Society Jul 29, 2021
We study the computation complexity of deep ReLU (Rectified Linear Unit) neural networks for the approximation of functions from the Hölder-Zygmund space of mixed smoothness defined on the d-dimensional unit cube when the dimension d may be very larg...
Neural Networks, Computer Computer Systems
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Spin-Orbit Torque-Induced Domain Nucleation for Neuromorphic Computing.

Advanced materials (Deerfield Beach, Fla.) Jul 24, 2021
Neuromorphic computing has become an increasingly popular approach for artificial intelligence because it can perform cognitive tasks more efficiently than conventional computers. However, it remains challenging to develop dedicated hardware for arti...
Copper Platinum Neurons Cobalt Torque Computer Simulation Deep Learning Computer Systems Neural Networks, Computer Algorithms
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A deep convolutional neural network model for hand gesture recognition in 2D near-infrared images.

Biomedical physics & engineering express Jul 9, 2021
The hand gesture recognition (HGR) process is one of the most vital components in human-computer interaction systems. Especially, these systems facilitate hearing-impaired people to communicate with society. This study aims to design a deep learning ...
Upper Extremity Recognition, Psychology Neural Networks, Computer Gestures Computer Systems Humans
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Preclinical evaluation of a markerless, real-time, augmented reality guidance system for robot-assisted radical prostatectomy.

International journal of computer assisted radiology and surgery Jun 2, 2021
PURPOSE: Intra-operative augmented reality (AR) during surgery can mitigate incomplete cancer removal by overlaying the anatomical boundaries extracted from medical imaging data onto the camera image. In this paper, we present the first such complete...
Augmented Reality Surgery, Computer-Assisted Prostatectomy Ultrasonography Imaging, Three-Dimensional Equipment Failure Robotics Equipment Design Prostate Algorithms Male Computer Systems Humans
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Computing Primitive of Fully VCSEL-Based All-Optical Spiking Neural Network for Supervised Learning and Pattern Classification.

IEEE transactions on neural networks and learning systems Jun 2, 2021
We propose computing primitive for an all-optical spiking neural network (SNN) based on vertical-cavity surface-emitting lasers (VCSELs) for supervised learning by using biologically plausible mechanisms. The spike-timing-dependent plasticity (STDP) ...
Neural Networks, Computer Algorithms Computer Systems Lasers Pattern Recognition, Automated Neuronal Plasticity Supervised Machine Learning Synapses
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Artificial Intelligence and Medical Internet of Things Framework for Diagnosis of Coronavirus Suspected Cases.

Journal of healthcare engineering May 28, 2021
The world has been facing the COVID-19 pandemic since December 2019. Timely and efficient diagnosis of COVID-19 suspected patients plays a significant role in medical treatment. The deep transfer learning-based automated COVID-19 diagnosis on chest X...
Radiography, Thoracic X-Rays Brazil COVID-19 Testing Diagnosis, Computer-Assisted Internet of Things Deep Learning Pattern Recognition, Automated China Computer Systems United States Databases, Factual Computer Simulation Humans SARS-CoV-2 Artificial Intelligence COVID-19
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Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach.

PloS one May 19, 2021
Effective and timely disease surveillance systems have the potential to help public health officials design interventions to mitigate the effects of disease outbreaks. Currently, healthcare-based disease monitoring systems in France offer influenza a...
France Epidemiological Monitoring Influenza, Human Weather Information Storage and Retrieval Public Health Surveillance Humans Social Media Internet Disease Outbreaks Computer Systems Models, Statistical Machine Learning Forecasting Electronic Health Records
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Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics.

Neural networks : the official journal of the International Neural Network Society May 14, 2021
An approach to the time-accurate prediction of chaotic solutions is by learning temporal patterns from data. Echo State Networks (ESNs), which are a class of Reservoir Computing, can accurately predict the chaotic dynamics well beyond the predictabil...
Bayes Theorem Nonlinear Dynamics Forecasting Computer Systems Neural Networks, Computer
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Cheetah: A Computational Toolkit for Cybergenetic Control.

ACS synthetic biology Apr 27, 2021
Advances in microscopy, microfluidics, and optogenetics enable single-cell monitoring and environmental regulation and offer the means to control cellular phenotypes. The development of such systems is challenging and often results in bespoke setups ...
Software Reproducibility of Results Animals Deep Learning Data Accuracy Synthetic Biology Lab-On-A-Chip Devices Mouse Embryonic Stem Cells Escherichia coli Cell Line Microscopy Computer Systems Image Processing, Computer-Assisted Mice
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