Top Research Papers on AI

The main chapter will suggest the possible artificial intelligence technologies in the narrow field of artificial insemination for achieving the next gamete and zygote mix-up scenario.

Artificial Intelligence is a field of computer science and engineering concerned with the computational understanding of what is commonly called intelligent behavior, and with the creation of artifacts that exhibit such behavior.

The shift in Artificial Intelligence, automation and chatbots is continuing to evolve and local government is already implementing the technology.

This year was important in many aspects because the book Automata Studies came out, compiling now famous articles in the field of cybernetics, and the goal of AI systems is to develop systems capable of tacking complex problems in ways similar to human logic and reasoning.

There are three simple rules upon which a strategy for digital customer experience can be based, and these are the base elements that make the chemistry of creating a culture of customer.

The concept of AI is a relatively new concept that is being used with increasing frequency and the importance of this concept has to do in general with the increased capacity of what the authors understand as intelligence.

An array of strategies which the DoD and its ICT UARC are using to address the fundamental problem of quickly upskilling the DoC workforce of over 2 million adult learners are described.

Artificial Intelligence (AI) as science is concerned with psychologically viable computational modelling of agentive behavior, and in AI as engineering, the objectives to design a working AI system that exhibits some well-defined agentivebehavior are designed.

A short reflection of personal engagement with and an exploration of the unforeseen intersections between traditional educational paradigms and the disruptive force of AI. The reflection is not just about discovering a technological tool; it is about encountering a new form of activity, one that could potentially redefine the contours of education and learning. A reflection which brought me to realize that my interaction with ChatGPT, marked by an initial enchantment followed by a phase of critical scrutiny, mirrored the very human process of knowledge acquisition and validation. ChatGPT, with...

This talk will discuss the challenges of building trustworthy AI and explore some of the pathways forward to best utilize AI and its promise to advance robotics to conquer societal challenges.

Artificial intelligence in manufacturing impacts product quality and ensure profits and helps manufacturers to get faultless products to market on time and avoid sudden damages to machinery.

The results suggest that AI integration has led to more efficient resource management, personalized user services, and improved information accessibility, although challenges like infrastructure costs and ethical issues related to privacy remain.

This commentary starts by introducing the concept of AI, the authors and their disabilities, the meanings of ethics and goes on to discuss the ethical issues which Peter and Laura see in their day-to-day lives, returning to their own perspectives and concluding that AI offers many advantages to society and the authors' future.

This study provides content producers, social media practitioners, marketing managers, advertising industry, AI researchers, and academics with many insights into AI advertising.

This study examines the ethical implications of artificial intelligence (AI), looking at topics including privacy, fairness, accountability, transparency, and the possibility of prejudice and discrimination in AI algorithms and decision-making processes.

A preliminary overview of Artificial Intelligence software, hardware, and toolkits that may be useful for the U.S. Army Concepts Analysis Agency's computer simulation and study efforts is provided.

The goal of artificial intelligence is to replicate intelligence, which consists of elements that support reasoning, knowledge acquisition, and response to environmental changes.

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Congress may consider the benefits and risks of AI in classrooms, including the impact of AI on issues such as student data privacy, teacher preparation, and technology development and procurement.

The role of artificial intelligence is now particularly active in diagnosing various disorders including autism, and through the identification of different genes of people with autism several conclusions have been drawn.

Application of Artificial Intelligence in educational administration can lead to effective data analysis and decision making, effective school administrative, resource optimization, student support and intervention, streamlined communication and engagement and enhanced security and safety.

The design and implementation of the AIS SSL team, AIS, shows the electrical, mechanical and software topics involved in the work, which were designed according to the RoboCup rules.

The overall level of awareness is fairly higher and good, which shows learners has a good awareness level about AI in the education field, and it is analyzed that the execution of AI technology in the Education field will positively impact the overall effect of AI technology.

While the integration of AI in nursing brings numerous benefits, it is essential to address ethical considerations, data privacy, and the need for ongoing education and training for healthcare professionals.

This report discusses artificial intelligence in education, including current applications, benefits and drawbacks, and policy considerations.

components of AI are discussed, including (a) knowledge representation, (b) reasoning, (c) natural language processing, (d) machine learning, (e) computer vision, and (f) robotics, which delve into the implications, promise, and precautions of that component for AAC.

There’s a famous quote “Machines will not replace physicians but physicians using AI will soon replace those not using it”, but other important healthcare domains of clinical diagnostics or drug discovery are not uninfluenced by use of AI techniques.

This survey provides the definitions for the term Artificial Intelligence, and then a brief historical description for the interactive form of the Artificial Intelligence.

This paper reviews developments in the use of Artificial Intelligence (AI) in sports biomechanics, and outlines possible uses of Expert Systems as diagnostic tools for evaluating faults in sports movements (techniques) and presents some example knowledge rules for such an expert system.

This work defends AI against the sentimentality charge, under each of the ways in which the notion has been be construed, and explains the film’s apparent lack of consistency as emerging from one of the clear goals this movie has: blurring distinctions that are fundamental to the authors' conception of the world.

The specific objectives of the research are to identify the countries that invest the most in cybersecurity and the most prominent organizations in cybersecurity worldwide and to determine the advances related to the cybersecurity and artificial intelligence (AI).

Across multiple biological systems in human physiology, AI can integrate with traditional diagnostic tests in medicine, and AI can sometimes determine additional findings missed by traditional diagnostic tests.

CAs, considered value-added AI-driven applications such as CAs or social robots, serve as a coworker to facilitate healthcare practitioners and patients, catering to patients' needs and communication to enhance care delivery experience and improve information flow processes using interactive services within EDs.

This paper will discuss AI ethics by looking at the ethics of AI and ethical AI, an AI that performs and behaves ethically and some of the necessary features and characteristics of an ethical AI.

This study has collected the artworks that had been removed by Facebook as racy and applied the Wilcoxon signed-rank test for the test, and Multidimensional Scaling to show the distribution of research samples to explore the differences between Google AI and Microsoft AI in making image judgments.

This article introduces AI and its core concepts, such as deep learning, machine learning, and large language models (LLMs), and provides examples that were generated using ChatGPT to highlight the use of prompts and the limitations of LLMs in AI.

This conversation underscores the significance of proactively mitigating biases in Artificial Intelligence through Appreciative Inquiry’s generative-focused approach and highlights the need for collaboration between AI experts and ai practitioners to foster ethical AI development practices that prioritize transparency, fairness, and accountability.

AI in structural biology is briefly overviewed, including in molecular dynamics simulations and prediction of microbiota–human protein–protein interactions, and their powerful impact on the life sciences.

METHODOLOGY A key-word search of artificial intelligence, artificial intelligence in medicine, and artificial intelligence models was done in PubMed and Google Scholar yielded more than 100 articles that were reviewed for summation in this article.

This thesis provides an application focused on androids that use knowledge research techniques to predict the most useful crop under current weather and soil conditions, detection the leaf disease, predict the rainfall, and finally predict the soil lacks (fertilizer) elements.

Through diverse case studies and expert insights, Artificial Intelligence (AI) in Social Sciences illuminates how AI is reshaping these disciplines, offering a glimpse into the future of AI integration across various fields.

No abstract available

This year was important in many aspects, as the book “Automata Studies” came out, compiling now famous articles in the field of cybernetics, and interest in the topic and research into the development of intelligent machines has seen several ups and downs.

The knowledge gathered using Artificial Intelligence (AI), coupled with the efficiency of BOTs is a boon for testing activity in the IT world, and can significantly speed up the whole testing process and by extension the project timeline.

The article analyzes the top ten AI tools that will drive the success of personalized marketing strategies in 2024 and analyzes Undetectable.ai, Grammarly, ChatGPT-4, Copy.ai, SurferSEO, Trellis, Crayon, Manychat, ChatFuel, and LivePerson.

The review covers various aspects of AI (Machine learning, Deep learning, artificial neural networks, Artificial neural networks) in drug design and provides a brief overview of the recent progress by the pharmaceutical companies in drug discovery by associating with different AI companies.

This document analyzes the degree of introduction of the gender perspective in the AI grades and how to improve the gender competences of the students.

This paper created an area for the researchers that will be beneficial for the ease of understanding of the advancements of various technologies such as AI, IoT, Data Analytics, etc.

The U.S. Food & Drug Administration has authorized the system for use by health professionals for the autonomous detection of diabetic retinopathy (>mild NPDR and/or DME), which is the first ever FDAauthorized AI diagnostic system in any field of medicine.

The study will survey students and instructors to gauge their perspectives on AI, assess its benefits and obstacles in education, and propose strategies for successfully implementing AI into teaching and learning techniques to provide educators and policymakers with critical insights.