Top Research Papers on AIML

This survey aims to provide a comprehensive review of state-of-the-art methods in sign language capturing, recognition, translation and representation, pinpointing their advantages and limitations.

The study combines a quantitative study of approximately 30 classrooms in Baden-Württemberg and North Rhine-Westphalia with a qualitative analysis of two classrooms in Hamburg to explore the conditions and effects of adaptive, individualized practice with intelligent feedback and scaffolding on classroom-based communicative task performance and language learning processes in general.

This comprehensive review paper aims to contribute to the evolving landscape of AI-driven language translation by critically examining the existing literature, identifying key debates, and uncovering areas of innovation and limitations.

It is found that using algorithmic responses changes language and social relationships, which increases communication speed, use of positive emotional language, and conversation partners evaluate each other as closer and more cooperative.

The article explores natural language processing (NLP), data-driven learning (DDL), automated writing evaluation (AWE), computerized dynamic assessment (CDA), intelligent tutoring systems (ITSs), automatic speech recognition (ASR), and chatbots to suggest that AI will be continuously integrated into language education and AI technologies and applications will have a profound impact on language learning and teaching.

A study that evaluates bias in existing Natural Language Processing models used in psychiatry and discusses how these biases may widen health inequalities, and offers recommendations for avoiding these harms in the future.

Artificial Intelligence (AI) plays an increasingly important role in language education; however, the trends, research issues, and applications of AI in language learning remain largely under-investigated. Accordingly, the present paper, using bibliometric analysis, investigates these issues via a review of 516 papers published between 2000 and 2019, focusing on how AI was integrated into language education. Findings revealed that the frequency of studies on AI-enhanced language education increased over the period. The USA and Arizona State University were the most active country and instituti...

How AI is currently used in ELT is described, and some of the opportunities and challenges that AI can provide for learners, teachers and institutions are explored.

This work evaluates CILLE as a Chinese-as-a-foreign-language (CFL) education tool through a seven-week, mixed-methods study with university students and shows how CILLE is designed and experienced by students to learn CFL.

The findings of this literature review suggest that AI has the potential to significantly enhance English language learners' communication skills by providing personalized and interactive learning experiences, however, further research is needed to explore the long-term effects and optimal integration of AI in language learning environments.

The paper explores the existing usability of chatbot to assess whether it can fulfill customers ever-changing needs and sheds light on the potential of intelligent systems.

It is suggested that a large language model could be used to translate discharge summaries into patient-friendly language and format, but implementation will require improvements in accuracy, completeness, and safety.

AI's present applications in healthcare, including its benefits, limitations and future scope are reviewed, alongside further research into the specific capabilities and limitations of its medical use.

Generative artificial intelligence (AI), such as ChatGPT, has taken the world by storm, especially in the education sector, because of its capacity to produce responses that are contextually relevant and appear to imitate human language. This has increased concerns from both scholars and practitioners regarding the potential impacts of ChatGPT on students' learning. However, research on higher education students' adoption of ChatGPT is still scant. Drawing on the modified technology acceptance model (TAM) and a sample of 1389 higher education students recruited in 11 universities in Vietnam wi...

The integration of generative artificial intelligence (AI) in English language teaching presents opportunities and challenges for instructors. This study explores the attitudes of higher education English language instructors towards generative AI tools, their intentions to use them and the institutional support and professional development necessary to teach and learn with them. As the field continues to evolve rapidly, it is essential to comprehend the readiness of front-line language instructors. This qualitative interpretive study seeks to identify the digital competencies and pedagogical ...

This scoping literature review examines the application of Generative Artificial Intelligence (GenAI), a disruptive technology, in language teaching and learning. Since its launch in November 2022, GenAI has captured global attention with OpenAI's ChatGPT, powered by the generative pre-trained transformer-3 (GPT-3) large-language model. The emergence of GenAI holds immense implications across various domains, including language education. This review aims to provide an overview of the current state of research and identify research gaps and future directions in this emerging field. The review ...

Abstract The use of transformer‐based language models in artificial intelligence (AI) has increased adoption in various industries and led to significant productivity advancements in business operations. This article explores how these models can be used to augment human innovation teams in the new product development process, allowing for larger problem and solution spaces to be explored and ultimately leading to higher innovation performance. The article proposes the use of the AI‐augmented double diamond framework to structure the exploration of how these models can assist in new product de...

As its broad application prospect in agriculture, industry, service and public sectors, AI may bring opportunities and challenges to the labor market of multifarious industries, a new technology that is overcritical of worker’s quality and competence, but numerous posts demanding human intelligence are generated.

A potential menu of safeguards and limitations to significantly limit the deployment of physiognomic AI systems is considered, which the authors hope can be used to strengthen local, state, and federal legislation.

Our entertainment and shopping media, smartphones and other devices all generate data. In 2021, just one minute on the internet accounted for 200,000 tweets, two million views on Twitch, 197 million emails and 69 million text messages, and $1.6 million in online shopping spend. This phenomenon, known as Big Data, comprises the data shared by the 3 Vs: volume, speed and variety. However, the wealth of information leads to a poverty of attention on our part, and challenges our ability to concentrate on data from different sources at the same time, which makes it necessary to set up automatic sys...

This chapter presents the introduction to AI, its roots, sub-domains, Turing test to judge if the given program is intelligent, what are the goals of AI for Engineers and Scientists, what is the basic requirements for AI, symbol system, andWhat are the requirements for knowledge representation.

Cloud providers such as Amazon, Google, IBM, Microsoft, Salesforce, or SAP have started to offer machine learning, deep learning, analytics, and inference as a service, bringing the discussions about provisioning AI capabilities from the cloud into practice.

Abstract Artificial intelligence (AI) has contributed substantially to the resolution of a variety of biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI that is highly flexible and supports automatic feature extraction, is increasingly being applied in various areas of both basic and clinical cancer research. In this review, we describe numerous recent examples of the application of AI in oncology, including cases in which deep learning has efficiently solved problems that were previously thought to be unsolvable, and we address obstacles that must be ...

This conceptual paper addresses the issues of transparency as linked to artificial intelligence (AI) from socio-legal and computer scientific perspectives and argues for the need of developing a multidisciplinary understanding in order to contribute to the governance of AI as applied on markets and in society.

The Myth of Artificial Intelligence offers a technical and philosophical introduction to AI with an emphasis on AI's limitations, and disentangles the hype of AI from what is actually possible with current technology.

This authoritative reference work will provide readers with a complete overview of artificial intelligence (AI), including its historic development and current status, existing and projected AI applications, and present and potential future impact on the United States and the world. Some people believe that artificial intelligence (AI) will revolutionize modern life in ways that improve human existence. Others say that the promise of AI is overblown. Still others contend that AI applications could pose a grave threat to the economic security of millions of people by taking their jobs and other...

➤ Artificial intelligence (AI) provides machines with the ability to perform tasks using algorithms governed by pattern recognition and self-correction on large amounts of data to narrow options in order to avoid errors. ➤ The 4 things necessary for AI in medicine include big data sets, powerful computers, cloud computing, and open source algorithmic development. ➤ The use of AI in health care continues to expand, and its impact on orthopaedic surgery can already be found in diverse areas such as image recognition, risk prediction, patient-specific payment models, and clinical decision-making....

How the frontiers of AI have shifted with time are demonstrated, and how the seven exemplar studies included in this special issue are helping to learn about management at the frontiers of AI are explained.

Over many centuries, tools of increasing sophistication have been developed to serve the human race Digital computers are, in many respects.They can perform the same sort of numerical ana symbolic manipulations, but faster and more reliably.AI is the science of mimicking human mental faculties in a computer.

The rapidly growing applications of AI-especially DL technology in the field of US-based on the following anatomical regions are reviewed, covering image quality control, anatomy localization, object detection, lesion segmentation, and computer-aided diagnosis and prognosis evaluation.

The state of the art of artificial intelligence in the preoperative, intraoperative and postoperative settings, where it has enormous potential to improve patient outcomes, surgical education and system efficiencies is outlined.

The problems with audit quality, almost in every case, are human related and not procedural. In other words, the issues existed not because the audit methods failed or were not sufficient to perform a quality audit, but because of human error in judgment. Artificial intelligence (AI) does not eliminate human work as much as it eliminates human work errors, mistakes, and intentional misconduct. This chapter clarifies some of the misconceptions in the AI field. The Turing Test can be viewed as a measure of intelligence in an AI artifact. Another way to think about the Turing Test is to ask the q...

Abstract The book has two goals. The first goal is meta-theoretical and is fulfilled by Part One: an interpretation of the past (Chapter 1), the present (Chapter 2), and the future of AI (Chapter 3). Part One develops the thesis that AI is an unprecedented divorce between agency and intelligence. On this basis, Part Two investigates the consequences of such a divorce, developing the thesis that AI as a new form of agency can be harnessed ethically and unethically. Chapter 4 offers a unified perspective on the many principles that have been proposed to frame the ethics of AI. Chapter 5 discusse...

A data-driven research framework for TAI is developed and its utility is demonstrated by delineating fruitful avenues for future research, particularly with regard to the distributed ledger technology-based realization of TAI.

Recent advances in artificial intelligence (AI) and machine learning have witnessed many successes in various disciplines including the healthcare sector. Innovations in intelligent medical systems have revolutionized the way in which healthcare services are provided, ranging from making clinical diagnosis, developing personalized treatment and drugs, assisting patient monitoring, to automating administrative tasks and reducing operational costs. In this book, the authors present key applications in the general area of health care, where AI has made significant successes.
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This special issue introduces the multifaceted challenges of governance of AI, including emerging governance approaches to AI, policy capacity building, exploring legal and regulatory challenges of AI and Robotics, and outstanding issues and gaps that need attention.

"This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like AI, IoT, and Signal Processing. It will also contribute to biosensors, MEMS, and related research. Applied Artificial Intelligence: Biomedical Perspective begins by detailing recent trends and challenges of applied artificial intelligence in biomedical systems. Part I of the book presents the technological background of the book in terms of applied artificial intelligence in the biomedical domain. Part II demonstrates the recent advancements in automated medica...

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication of voices (even John Lennon's years after his death), use of AI in art and music creation, facial recognition, and others. This new field is readily used in the management of big data in many arenas but is filled with risks and uncertainty (Botes 2023). If the world population declines in number (scientificamerican.com/article/population-decline-will-change-...

The necessity for researchers and practitioners to comprehend the distinctive characteristics of generative artificial intelligence in order to harness its potential while mitigating its risks and to contribute to a principal understanding is underlined.

The report examines eight domains of typical urban settings on which AI is likely to have impact over the coming years: transportation, home and service robots, healthcare, education, public safety and security, low-resource communities, employment and workplace, and entertainment.