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AI voice dubbing = الدبلجة الصوتية بالذكاء الاصطناعي
The advent of artificial intelligence has revolutionized numerous domains, including media and entertainment. This project focuses on developing an AI Voice Dubbing application that facilitates the seamless dubbing of audio content from English to Arabic. Unlike traditional robotic voice outputs, our application ensures that the dubbed content retains the original voice characteristics, providing a natural and authentic listening experience. The system also offers users the option to select alternative output voices, including those of celebrities, or any other voice by uploading their media, providing a YouTube link, or recording audio directly. The core functionality of the application is to produce a dubbed audio file, maintaining high fidelity to the original speaker's voice tone and style, the application provides a text output of the dubbed content, which users can edit as needed to ensure accuracy and personal preference.
AI virtual mouse system
Even today, many people still find interacting with computers and hardware to be an unpleasant experience, despite the development of input devices over decades. Computers and hardware should be tailored to our natural modes of communication: Body language and speech. Intelligent machines that can work alongside computers are now being developed, allowing for friendlier Human-Computer Interaction (HCI). this project, intends a hand gesture-based system that allows users to control virtual keyboard, desktop mouse movements and connect it with mobile phone in order to monitor and control.
AI Strategy for sales and marketing : Connecting marketing, sales and customer experience
AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust.
AI in marketing : Applications, insights, and analysis
AI in marketing equips students with the knowledge to understand the impact of artificial intelligence (AI) on marketing strategies, processes, and activities, empowering them to navigate the AI-driven marketing landscape confidently. divided into four parts, it provides a comprehensive exploration of AI's transformative role in marketing. the first part lays the groundwork, offering foundational insights into the intersection of AI and marketing. Part II explores the various applications of AI in marketing, and the tools marketers use to optimize their processes and deliver enhanced customer experiences. the third part focuses on leveraging AI for consumer insights, enabling marketers to craft data-driven strategies. the final part examines ethical considerations and the pedagogical integration of AI into marketing education.
AI in learning : Designing the future
AI (artificial intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it. Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning.
AI in drug discovery
Constitutes the refereed proceedings of the First international workshop on ai in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.
AI in disease detection : Advancements and applications
Discusses the integration of artificial intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as computer vision, natural language processing, and machine learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation.
AI in clinical practice : A guide to artificial intelligence and digital medicine
Explains how artificial intelligence is applied to medicine, illustrating not only its enormous potential but also ancillary issues and the limits and risks inherent in its use on a large scale. The book focuses on the intersection between medicine and AI and its implications on the impact of human health care delivery. Topics discussed include wearable devices, health data, Internet of Things, virtual reality, robotic assistance system, and digital intelligence in the health sector. Additionally, sections discuss diagnostics and decision-making systems and machine/deep learning in clinical setting.
AI in clinical medicine : A practical guide for healthcare professionals
A Practical Guide for Healthcare Professionals is the definitive reference book for the emerging and exciting use of AI throughout clinical medicine. AI in Clinical Medicine: A Practical Guide for Healthcare Professionals is divided into four sections. Section 1 provides readers with the basic vocabulary that they require, a framework for AI, and highlights the importance of robust AI training for physicians. Section 2 reviews foundational ideas and concepts, including the history of AI. Section 3 explores how AI is applied to specific disciplines. Section 4 describes emerging trends, and applications of AI in medicine in the future.
AI home decorator
Presents the development of “DesignMate”, an innovative AI home decorator application designed to revolutionize interior design. With three main features powered by artificial intelligence, DesignMate simplifies and enhances the process of home decoration. The first feature leverages an Autoregressive transformer model trained on the extensive 3Dfront dataset to suggest room decor based on room layouts. The second feature employs Generative Adversarial Networks (GANs) to enhance the colors of specific room layouts. The third feature introduces an expert system that tailors decor options to user-entered conditions. DesignMate also introduces an integrated e-commerce platform dedicated to furniture, offering users a wide selection of high-quality items that perfectly complement their preferred room designs.
AI For Emerging Verticals : Human-robot computing, sensing and networking
Artificial intelligence (AI) and machine learning (ML) will play a major role. By adopting AI software and services, businesses can create predictive strategies, enhance their capabilities, better interact with customers, and streamline their business processes. Explores novel concepts and cutting-edge research and developments towards designing these fully automated advanced digital systems. Fostered by technological advances in artificial intelligence and machine learning, such systems potentially have a wide range of applications in robotics, human computing, sensing and networking. The chapters focus on models and theoretical approaches to guarantee automation in large multi-scale implementations of AI and ML systems; protocol designs to ensure AI systems meet key requirements for future services such as latency; and optimisation algorithms to leverage the trusted distributed and efficient complex architectures.
AI and UX : Why artificial intelligence needs user experience
Great effort has been put forth to continuously make AI “smarter.” But, will smarter always equal more successful AI? It is not just about getting a product to market, but about getting the product into a user’s hands in a form that will be embraced. This demands examining the product from the perspective of the user. Authors Gavin Lew and Robert Schumacher have written AI and UX to examine just how product managers and designers can best strike this balance. From exploring the history of the parallel journeys of AI and UX, to investigating past product examples and failures, to practical expert knowledge on how to best execute a positive user experience, AI and UX examines all angles of how AI can best be developed within a UX framework.
AI 2007: Advances in artificial intelligence ; 20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, December 2-6, 2007, Proceedings
The book is organized in topical sections on machine learning, neural networks, evolutionary computing, constraint satisfaction, satisfiability, automated reasoning, knowledge discovery, robotics, social intelligence, ontologies and semanti.
Agroecology now! : Transformations towards more just and sustainable food systems
Develops a framework for advancing agroecology transformations focusing on power, politics and governance. It explores the potential of agroecology as a sustainable and socially just alternative to today’s dominant food regime. Agroecology is an ecological approach to farming that addresses climate change and biodiversity loss while contributing to the Sustainable Development Goals
Agroecological transitions : From theory to practice in local participatory design
There is wide agreement on the need to change the prevalent agricultural models, given their negative impacts and their incompatibility with current societal issues. Agroecological transition has been promoted as a potential solution to the ecological, social and economic problems generated by these models. It however involves a systemic, multi-scale and transdisciplinary process. Due to this complexity, the overall picture of what farms and food systems “actually are” and “might be” may not be apparent at the individual level. Yet individuals’ knowledge and values provide complementary insights on how to proceed in deepening ecological modernisation. Expertise can also provide landmarks to be considered in that process. Because local stakeholders’ experience and skills are key resources in the adaptation and adoption of agroecological transition, new conceptual and methodological frameworks and tools have to be developed to support them in the design process of such a complex transition. This book presents feedback from the ‘Territorial Agroecological Transition in Action’- TATA-BOX research project, which was devoted to these specific issues.
Agrobacterium : From Biology to Biotechnology
Agrobacterium’ is a comprehensive book on Agrobacterium research, including its history, application, basic biology discoveries, and effects on human society. Although the book largely focuses on providing a detailed review of virtually all molecular events of the genetic transformation process, it also provides coverage of ethical and legal issues relevant to the use of Agrobacterium as a "genetic transformation machine". The result is an all-inclusive text which readers—including scientists and students involved in plant genetic engineering—will find useful as a reference source for all major aspects of the Agrobacterium-mediated genetic transformation of plant and non-plant organisms.
Agriculture for Economic Development in Africa : Evidence from Ethiopia
This book explores the role of agriculture in long-term economic growth. With a particular focus on Ethiopia, the role of the state in igniting agricultural growth and in sustaining economic growth is highlighted as essential for low-income countries. Taking ideas from both economic history and development economics, the ability of Ethiopia and the rest of Africa to sustain recent rapid growth into something that can tackle the development agenda is discussed, alongside policy suggestions.
Agriculture and Climate Beyond 2015 : A New Perspective on Future Land Use Patterns
Interactions between agriculture, climate and patterns of land use are complex. Major changes in agriculture, and land use patterns are foreseen in the next couple of decades in response to shifts in climate, greenhouse gas management initiatives, population growth and other forces. The book explores key interactions between changes in agriculture, patterns of land use and efforts to reduce greenhouse emissions from agriculture. The volume is based on inter-disciplinary science and policy interactions, exploring the way land use may aid in addressing or be affected by the onset of climate change and alterations in food demand. Future forces shaping land use decisions are examined, and its sensitivity to climate change is highlighted. Patterns of land use and the agricultural role in climate change mitigation are explored. Also, policy and social responses to the new perspectives on future land use patterns are identified. The perspective of the book is beyond the year 2015.
Agricultural Medicine : A Practical Guide
Covering both injury prevention and environmental h- ards, this innovative work is a practical guide for the family physician wo- ing in a rural area. The contents demonstrate the vitality of agromedicine and the vision and insight of the authors. The chapters on farm chemicals provide thorough information about the many types of chemicals commonly used in the farm environment, how they are applied, and the principles of diagnosis and management for family physicians treating patients for toxic chemical exposure.
Agricultural Biotechnology in China : Origins and Prospects
Building on a long tradition of agricultural advances, Chinese scientists have applied biotechnology techniques to develop hundreds of novel crop varieties suited to local farming conditions and challenges.Agricultural Biotechnology in China: Origins and Prospects is a comprehensive examination of how the origins of biotechnology research agendas, along with the effectiveness of the seed delivery system and biosafety oversight, help to explain current patterns of crop development and adoption in China. Based on firsthand insights from China’s laboratories and farms, Valerie Karplus and Dr. Xing Wang Deng explore the implications of China’s investment for the nation’s rural development, environmental footprint, as well as its global scientific and economic competitiveness.
