scholarly journals Artificial intelligence in artistic practices

2021 ◽  
pp. 41-50
Author(s):  
Asmati Chibalashvili
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Visual Arts ◽  
Human Condition ◽  
Human Intervention ◽  
Basic Principles ◽  
Generative Art ◽  
Works Of Art ◽  
Artificial Intelligence Technology ◽  
Emotionally Intelligent

The article considers methods of involving artificial intelligence in artistic practices. Based on the analysis of ways to use this technology in visual arts and music, the basic principles of working with artificial intelligence technology are identified, including: imitation of historical art, implemented in projects The Next Rembrandt and Choral; generative art, which is found in the works “Hyperbolic Composition І” and “Hyperbolic Composition ІІ” of S. Eaton and also in the AIVA program (Artificial Intelligence Virtual Artist). The importance of the mechanisms of neurobiology in the process of working with artificial intelligence on the example of the project “Neural Zoo” of S. Crespo, Iamus program, in which the development of musical material is based on the principle of evolution, is stated. In the application Endel and in the opera “Emotionally intelligent” Artificially Intelligent Brainwave Opera» of E. Perlman, a neural network is used to read information about the human condition and its further processing for modification into a sound landscape or image. The development of artificial intelligence and its use in artistic practices opens up new opportunities, expanding both the field of authors of artistic content and attracting new audience. This phenomenon provokes many issues, including: the ability to think artificially of artificial intelligence, the ability to create works of art without human intervention, as well as issues related to copyright.

Recent Advances in Medical Image Processing

2020 ◽  
pp. 1-14
Author(s):  
Zhen Huang ◽  
Qiang Li ◽  
Ju Lu ◽  
Junlin Feng ◽  
Jiajia Hu ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Image Processing ◽  
Medical Imaging ◽  
Medical Image ◽  
Medical Image Processing ◽  
Convolution Neural Network ◽  
Artificial Intelligence Technology ◽  
Deep Convolution Neural Network

<b><i>Background:</i></b> Application and development of the artificial intelligence technology have generated a profound impact in the field of medical imaging. It helps medical personnel to make an early and more accurate diagnosis. Recently, the deep convolution neural network is emerging as a principal machine learning method in computer vision and has received significant attention in medical imaging. <b><i>Key Message:</i></b> In this paper, we will review recent advances in artificial intelligence, machine learning, and deep convolution neural network, focusing on their applications in medical image processing. To illustrate with a concrete example, we discuss in detail the architecture of a convolution neural network through visualization to help understand its internal working mechanism. <b><i>Summary:</i></b> This review discusses several open questions, current trends, and critical challenges faced by medical image processing and artificial intelligence technology.

scholarly journals Application of Artificial Intelligence Technology Optimized by Deep Learning to Rural Financial Development and Rural Governance

2022 ◽  
Vol 30 (7) ◽  
pp. 1-23
Author(s):  
Hongwei Hou ◽  
Kunzhi Tang ◽  
Xiaoqian Liu ◽  
Yue Zhou
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Deep Learning ◽  
Convolutional Neural Network ◽  
Short Term Memory ◽  
Research Result ◽  
Customer Information ◽  
Rural Governance ◽  
Artificial Intelligence Technology ◽  
Reasonable Prediction

The aim of this article is to promote the development of rural finance and the further informatization of rural banks. Based on DL (deep learning) and artificial intelligence technology, data pre-processing and feature selection are conducted on the customer information of rural banks in a certain region, including the historical deposit and loan, transaction record, and credit information. Besides, four DL models are proposed with a precision of more than 87% by test to improve the simulation effect and explore the application of DL. The BLSTM-CNN (Bi-directional Long Short-Term Memory-Convolutional Neural Network) model with a precision of 95.8%, which integrates RNN (Recurrent Neural Network) and CNN (Convolutional Neural Network) in parallel, solves the shortcomings of RNN and CNN separately. The research result can provide a more reasonable prediction model for rural banks, and ideas for the development of rural informatization and promoting rural governance.

scholarly journals An Automatic Logistics System using Artificial Intelligence

2019 ◽  
Vol 8 (2S4) ◽  
pp. 924-926
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Optimal Route ◽  
Logistics System ◽  
The Neural Network ◽  
Artificial Intelligence Technology ◽  
Artificial Neural ◽  
Set Up

In this paper, we propose a method to utilize machine learning to automate the system of classifying and transporting large quantities of logistics. First, establish an environment similar to the task of transferring logistics to the desired destination, and set up basic rules for classification and transfer. Next, each of the logistics that need sorting and transportation is defined as one entity, and artificial intelligence is introduced so that each individual can go to an optimal route without collision between the objects to the destination. Artificial intelligence technology uses artificial neural networks and uses genetic algorithms to learn neural networks. The artificial neural network is generated by each chromosome, and it is evolved based on the most suitable artificial neural network, and a score is given to each operation to evaluate the fitness of the neural network. In conclusion, the validity of this algorithm is evaluated through the simulation of the implemented system.

Autonomous Vehicular Corridor using Artificial Intelligence

2021 ◽  
Vol 9 (VI) ◽  
pp. 1254-1258
Author(s):  
Aravind R Kashyap
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Time Series ◽  
Collision Avoidance ◽  
Autonomous Vehicles ◽  
Human Intervention ◽  
Macroscopic Level ◽  
Operational Impact

This project considers the operational impact of Autonomous Vehicles by creating a corridor using the latest network available. The behaviour of these vehicles entering the corridor is monitored at the macroscopic level by modifying the data which can be extracted from the vehicle. This data is made to learn using machine learning called the Time Series Neural Network and the data is used as a parameter to make the vehicles Autonomous. The project resolves the location, develops and demonstrates the collision avoidance of the vehicles using Artificial Intelligence. Autonomous means the vehicles will be able to learn to act accordingly without human intervention

The Application of Artificial Intelligence Technology in the Selective Laster Sintering

2014 ◽  
Vol 1037 ◽  
pp. 236-239
Author(s):  
Li Yuan Cai ◽  
Qing Shun Wang ◽  
Wei Sun
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Bp Neural Network ◽  
Research Method ◽  
Control Method ◽  
Laser Sintering ◽  
Sintering Process ◽  
Optimal Parameters ◽  
Artificial Intelligence Technology ◽  
Neural Network Algorithm

Based on laser sintering constituency as the research object, this paper aimed at the perspective of artificial intelligence technology. It uses the new control theory and research method of BP neural network algorithm and tries to provide reference for optimizing the sintering process of laser district. This paper argues that the application of artificial intelligence technology to laser sintering constituency. Through the simulation, it can make up for the inadequacy of the traditional control method. Under certain conditions, the goal of process optimization will be achieved by finding the optimal parameters.

scholarly journals Evaluation of the efficacy of neural network technology in the analysis of the condition of the optic nerve disc and peripapillary retina in healthy individuals examined for glaucoma

2020 ◽  
pp. 43-47
Author(s):  
A. B. Movsisyan ◽  
A. V. Kuroyedov ◽  
V. V. Gorodnichy ◽  
G. A. Ostapenko ◽  
S. V. Podvigin ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Optic Nerve ◽  
High Efficiency ◽  
Study Groups ◽  
Automated Perimetry ◽  
Healthy Individuals ◽  
Study Results ◽  
Artificial Intelligence Technology ◽  
Peripapillary Retina

Objective: Evaluation of efficacy of the application of artificial intelligence technology and neural networks in the analysis of the condition of the optic disc and the peripapillary retina in healthy individuals.Methods: Prospective analysis of the condition of visual organs in 54 patients aged from 49 to 71 years (100 eyes) was conducted. The examination included autorefractometry, visometry, tonometry, automated perimetry, spectral domain optical coherence tomography, Heidelberg retina tomography. A pre-trained neural network evaluated only a photograph of the optic nerve disc and the peripapillary retina.Results: Neural network identified twelve images with suspected glaucoma, five of which were selected by medical experts. The comparison of all study groups has demonstrated the presence of statistically significant differences between them according to a range of visiometric indicators.Conclusions: The study results showed high efficiency of artificial intelligence and the prospects of its use for the diagnosis of glaucoma. 

The Application of Wavelet Neural Network in Prediction of the Fish Price

2014 ◽  
Vol 687-691 ◽  
pp. 1945-1949
Author(s):  
Hong Wei Li ◽  
Xiao Xiang Gao ◽  
Ke Jun Cheng
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Neural Networks ◽  
Success Rate ◽  
Bp Algorithm ◽  
Price Forecasting ◽  
Bp Network ◽  
Market Prices ◽  
Short Period ◽  
Artificial Intelligence Technology

The market fish price is an important factor that affects the income of fishermen, so how to accurately analyze and predict the fish pricet o obtain huge profits has caught people's attention. As science advances, various price forecasting and analysis methods have come into being. How to build a prediction theories and models with relatively high success rate has been the study of many scholars over the years. With the development of artificial intelligence, neural networks have become an important tool of predicting and analyzing changes in market prices. Neural networks are important artificial intelligence technology, which have simple structures, but are able to solve complicated problems. They have strong applicability in predicting the mature index fluctuations in a short period. This paper considers some shortcomings and deficiencies the BP network prototype, which tries to use the wavelet Functions to replace the excitation function in the traditional BP algorithm on the basis of a network of neurons and then forms into WNN. We can verify the feasibility of WNN by perch price forecasts, and then this method is used in price forecasts of the three main fish of the Ulungur Lake Aquatic, to provide the basis for the aquatic base decision

scholarly journals Principles of digital technologies introduction in the cultural and artistic practice

2020 ◽  
Author(s):  
Tetyana Sovgyra
Keyword(s):  
Artificial Intelligence ◽  
Digital Technology ◽  
Digital Technologies ◽  
Integrated Approach ◽  
Artistic Process ◽  
Works Of Art ◽  
Art Form ◽  
Algorithmic Art ◽  
Artificial Intelligence Technology ◽  
Static Images

Purpose of the Article. The study is related to the study of the current state of culture and best practices in using the latest digital technologies in the cultural and artistic process. The author analyzes the specifics of the works created through the use of "artificial intelligence" technology. The methodology is based on an integrated approach and analytical (in the analysis of philosophical, art history, cultural literature on the subject of research), historical (in clarifying the stages of the formation of algorithmic art as a modern art form) and conceptual (in analyzing and characterizing the conceptual and terminological research system) research methods. The scientific novelty lies in the fact that for the first time the specifics of using digital technologies, in particular artificial intelligence, in the field of art, is considered. The article discusses the role of digital technology in the process of creating works of art. Conclusions. It was revealed that artificial intelligence is a technology that can only produce invariants of already created masterpieces, the recombination of what has already been created by man. Using digital technology, you can create not only static images in the form of paintings printed on a 3D printer but also dynamic video installations. The principles of the functioning of artificial intelligence technology in the process of creating works of art are considered. It was revealed that with the help of artificial neural networks commercial projects related to the recognition of images and sound information are successfully implemented.

scholarly journals Data Processing and Artificial Neural Network in the Background of Big Data

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Yang You
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Artificial Neural Network ◽  
Big Data ◽  
Back Propagation ◽  
Human Beings ◽  
Back Propagation Algorithm ◽  
Emerging Industries ◽  
Artificial Intelligence Technology ◽  
Artificial Neural

The existing significance of big data technology lies not only in collecting massive information, but also in professional processing and analysis. It transforms information into data and extracts valuable knowledge from data. The advent of the era of big data has brought us a new development model, but also produced many emerging industries, such as cloud computing, artificial intelligence and so on. Based on this, this paper studies the artificial neural network and back propagation algorithm in this context, so that computer technology can better serve human beings, which is of great significance to promote the further development of artificial intelligence technology.

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