(Pdf) a Detailed Account of Artificial Intelligence Algorithms and
At the heart of AI are the algorithms and approaches that enable machines to learn from data, make decisions, and perform tasks that would otherwise require human intelligence. In this research ...
Algorithms for Artificial Intelligence
Algorithms for Artificial Intelligence. Abstract: Artificial intelligence and machine learning use a wide variety of algorithms. More than 60 years of research have shown that intelligent behavior requires a variety of methods. We discuss the major classes of algorithms and their uses. Published in: Computer ( Volume: 55 , Issue: 7 , July 2022 ...
Artificial intelligence research: A review on dominant themes, methods
Artificial intelligence research: A review on dominant ...
Artificial intelligence in information systems research: A systematic
Artificial intelligence in information systems research
Medical Diagnostic Systems Using Artificial Intelligence (AI
Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives ... and Deep Learning. This research paper aims to reveal some important insights into current and previous different AI techniques in the medical field used in today's medical research, particularly in heart disease prediction, brain disease ...
Artificial intelligence and machine learning research: towards digital
Also, the bachelor program of Computer Science has tracks in Artificial Intelligence and Cyber Security which was launched in Fall 2020 semester. Additionally, Energy & Technology and Smart Building Research Centers were established to support innovation in the technology and energy sectors.
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning
tical insights into the usage and types of AI/learning algorithms over the years, showcasing the evolving research landscape within the automotive industry. Furthermore, the paper highlights the pivotal role of parameters in refining algorithms for both trucks and cars, facilitating vehicles to adapt, learn, and improve performance over time.
The formal rationality of artificial intelligence-based algorithms and
AI, or artificial intelligence, is "a system's ability to correctly interpret external data, learn from it, and use that learning to achieve specific goals and tasks through flexible adaptation" (Haenlein and Kaplan, 2019:p 5).It includes ML, which refers to machines using various algorithms to process and learn from large datasets to solve practical problems (Burkov, 2019; Taddy, 2019).
Ethical principles in machine learning and artificial intelligence
Ethical principles in machine learning and artificial ...
Artificial intelligence in healthcare: transforming the practice of
Artificial intelligence in healthcare: transforming the ...
(PDF) Artifical Intelligence and Bias: Challenges ...
This paper investigates the multifaceted issue of algorithmic bias in artificial intelligence (AI) systems and explores its ethical and human rights implications. The study encompasses a ...
Analysis of Searching Algorithms in Solving Modern Engineering Problems
Many current engineering problems have been solved using artificial intelligence search algorithms. To conduct this research, we selected certain key algorithms that have served as the foundation for many other algorithms present today. This article exhibits and discusses the practical applications of A*, Breadth-First Search, Greedy, and Depth-First Search algorithms. We looked at several ...
Machine Learning: Algorithms, Real-World Applications and Research
A systematic literature review on hardware implementation of artificial
4.3 Algorithms, tools, and platforms perspective In this section, an analysis for the collected research papers from algorithm perspective is presented in order to state the most used AI and ML algorithms in different applications (Fig. 6). Most of the research papers implemented object detection acceleration.
PDF The Impact of Artificial Intelligence on Innovation
The Impact of Artificial Intelligence on Innovation
Artificial intelligence approaches and mechanisms for big data
Artificial intelligence approaches and mechanisms for big ...
A survey on performance evaluation of artificial intelligence
The first research question is as follows: "which is the best AI technique or algorithm for improving IoT security?" for that, this paper performs a comprehensive study on the performance of ...
Artificial Intelligence and Pricing: The Impact of Algorithm Design
Artificial Intelligence and Pricing: The Impact of Algorithm Design. John Asker, Chaim Fershtman & Ariel Pakes. Working Paper 28535. DOI 10.3386/w28535. Issue Date March 2021. The behavior of artificial intelligences algorithms (AIAs) is shaped by how they learn about their environment. We compare the prices generated by AIAs that use different ...
The Role of Artificial Intelligence and Machine Learning in Software
Artificial Intelligence (AI) and Machine Learning (ML) have significantly impacted various industries, including software development. Software testing, a crucial part of the software development lifecycle (SDLC), ensures the quality and reliability of software products. Traditionally, software testing has been a labor-intensive process requiring significant manual effort. However, the advent ...
Research on Artificial Intelligence Algorithm and Its Application in
With the in-depth development of intelligent technology, game artificial intelligence (AI) has become the technical core of improving the playability of a game and the main selling point of game promotion, deepening the game experience realm. Modern computer games achieve the realism of games by integrating graphics, physics and artificial intelligence. It is difficult to define the meaning of ...
Novel neurosymbolic artificial intelligence (NSAI) based algorithm to
In this paper, two neurosymbolic-based methods—the neurosymbolic decision tree (DT) and the neurosymbolic XGBoost—are compared with a simple artificial neural network (ANN) to see how well they perform. This provides a novel comparison of prediction algorithms.
Application of artificial intelligence algorithms in image processing
With the development of the times, the demand for image processing technology is increasing. The application of artificial intelligence algorithm in image processing can achieve better image processing effect. Based on this background, the image segmentation in this paper is implemented by ant colony algorithm.
Artificial intelligence: A powerful paradigm for scientific research
Artificial intelligence: A powerful paradigm for scientific ...
Measuring the demand for AI skills in the United Kingdom
At a regional level, the higher demand for AI-related jobs is found in London and research hubs. At the occupation level, marked changes in the demand for AI skills are also visible. Professions such as data scientist, computer scientist, hardware engineer and robotics engineer are estimated to be the most AI-hiring intense occupations in the ...
AI tool achieves 94% accuracy in telling apart fake from real research
Researchers have developed a tool that could tell apart an original research article from one created by AI-chatbots, including ChatGPT.In a set of 300 fake and real scientific papers, the AI-based tool, named 'xFakeSci', detected up to 94 per cent of the fake ones. This was nearly twice the success rate seen among the more common data-mining techniques, the authors from the State University ...
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Artificial intelligence: A powerful paradigm for scientific ...
Machine Learning: Algorithms, Real-World Applications ...
At the heart of AI are the algorithms and approaches that enable machines to learn from data, make decisions, and perform tasks that would otherwise require human intelligence. In this research ...
Algorithms for Artificial Intelligence. Abstract: Artificial intelligence and machine learning use a wide variety of algorithms. More than 60 years of research have shown that intelligent behavior requires a variety of methods. We discuss the major classes of algorithms and their uses. Published in: Computer ( Volume: 55 , Issue: 7 , July 2022 ...
Artificial intelligence research: A review on dominant ...
Artificial intelligence in information systems research
Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives ... and Deep Learning. This research paper aims to reveal some important insights into current and previous different AI techniques in the medical field used in today's medical research, particularly in heart disease prediction, brain disease ...
Also, the bachelor program of Computer Science has tracks in Artificial Intelligence and Cyber Security which was launched in Fall 2020 semester. Additionally, Energy & Technology and Smart Building Research Centers were established to support innovation in the technology and energy sectors.
tical insights into the usage and types of AI/learning algorithms over the years, showcasing the evolving research landscape within the automotive industry. Furthermore, the paper highlights the pivotal role of parameters in refining algorithms for both trucks and cars, facilitating vehicles to adapt, learn, and improve performance over time.
AI, or artificial intelligence, is "a system's ability to correctly interpret external data, learn from it, and use that learning to achieve specific goals and tasks through flexible adaptation" (Haenlein and Kaplan, 2019:p 5).It includes ML, which refers to machines using various algorithms to process and learn from large datasets to solve practical problems (Burkov, 2019; Taddy, 2019).
Ethical principles in machine learning and artificial ...
Artificial intelligence in healthcare: transforming the ...
This paper investigates the multifaceted issue of algorithmic bias in artificial intelligence (AI) systems and explores its ethical and human rights implications. The study encompasses a ...
Many current engineering problems have been solved using artificial intelligence search algorithms. To conduct this research, we selected certain key algorithms that have served as the foundation for many other algorithms present today. This article exhibits and discusses the practical applications of A*, Breadth-First Search, Greedy, and Depth-First Search algorithms. We looked at several ...
Machine Learning: Algorithms, Real-World Applications ...
4.3 Algorithms, tools, and platforms perspective In this section, an analysis for the collected research papers from algorithm perspective is presented in order to state the most used AI and ML algorithms in different applications (Fig. 6). Most of the research papers implemented object detection acceleration.
The Impact of Artificial Intelligence on Innovation
Artificial intelligence approaches and mechanisms for big ...
The first research question is as follows: "which is the best AI technique or algorithm for improving IoT security?" for that, this paper performs a comprehensive study on the performance of ...
Artificial Intelligence and Pricing: The Impact of Algorithm Design. John Asker, Chaim Fershtman & Ariel Pakes. Working Paper 28535. DOI 10.3386/w28535. Issue Date March 2021. The behavior of artificial intelligences algorithms (AIAs) is shaped by how they learn about their environment. We compare the prices generated by AIAs that use different ...
Artificial Intelligence (AI) and Machine Learning (ML) have significantly impacted various industries, including software development. Software testing, a crucial part of the software development lifecycle (SDLC), ensures the quality and reliability of software products. Traditionally, software testing has been a labor-intensive process requiring significant manual effort. However, the advent ...
With the in-depth development of intelligent technology, game artificial intelligence (AI) has become the technical core of improving the playability of a game and the main selling point of game promotion, deepening the game experience realm. Modern computer games achieve the realism of games by integrating graphics, physics and artificial intelligence. It is difficult to define the meaning of ...
In this paper, two neurosymbolic-based methods—the neurosymbolic decision tree (DT) and the neurosymbolic XGBoost—are compared with a simple artificial neural network (ANN) to see how well they perform. This provides a novel comparison of prediction algorithms.
With the development of the times, the demand for image processing technology is increasing. The application of artificial intelligence algorithm in image processing can achieve better image processing effect. Based on this background, the image segmentation in this paper is implemented by ant colony algorithm.
Artificial intelligence: A powerful paradigm for scientific ...
At a regional level, the higher demand for AI-related jobs is found in London and research hubs. At the occupation level, marked changes in the demand for AI skills are also visible. Professions such as data scientist, computer scientist, hardware engineer and robotics engineer are estimated to be the most AI-hiring intense occupations in the ...
Researchers have developed a tool that could tell apart an original research article from one created by AI-chatbots, including ChatGPT.In a set of 300 fake and real scientific papers, the AI-based tool, named 'xFakeSci', detected up to 94 per cent of the fake ones. This was nearly twice the success rate seen among the more common data-mining techniques, the authors from the State University ...