This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.

The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI.

The use of digital technology in our societies is growing to meet the ever-increasing challenges of data collection, raising awareness, education and understanding nature. Artificial intelligence, for example, appears to be the answer to collecting massive amounts of data on biodiversity at a global scale and facilitating citizen participation in such data collection. Linking with Nature in the Digital Age explores the reconfiguration of our relationship with nature within this digital framework. This book examines this mediated linking from three angles. Firstly, it shows how digital technology can foster the development of links to nature. Then, it describes in greater detail the materiality of these links and how they have evolved with the developments in information technology. Finally, it questions the belief in the digital as a facilitator and opens up new perspectives on our relationship with nature and the living world

This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.

There has been growing academic interest in local food plants. This is a subject that lies at the frontiers of knowledge of various areas, such as environmental sciences, nutrition, public health, and humanities. To date, however, we do not have a book bringing these multi-disciplinary perspectives to bear on this complex field. This book presents the current state of knowledge on local Brazilian food plants through a multidisciplinary approach, including an overview of food plants in Brazil, as well as comprehensive nutritional data. It compiles basic theories on the interrelationship between biodiversity and food and nutrition security, as well as ethnobotanical knowledge of local Brazilian food plants. Additionally, this title provides various methods of learning and teaching the subject, including through social media, artificial intelligence, and through workshops, among others.

Artificial Intelligence in Forensic Science addresses the current and emerging opportunities being utilized to apply modern Artificial Intelligence (AI) technologies to current forensic and investigation practices. The book also showcases the increasing benefits of AI where and when it can be applied to various techniques and forensic disciplines. The increasing rate of sophisticated crimes has increased the opportunity and need for the forensic field to explore a variety of emerging technologies to counter criminals—and AI is no exception. There are many current investigative challenges that, with ingenuity and application, can be helped with the application of AI, especially in the digital forensic and cyber-crime arena. The book also explains many practical studies that have been carried out to test AI technologies in crime detection, uncovering evidence, and identifying perpetrators. In the last decade, the use of AI has become common in many fields and now is an ideal time to look at the various ways AI can be integrated into judicial, forensic, and criminal cases to better collect and analyze evidence, thereby improving outcomes.

This edited book collates latest findings in the field of agro-biodiversity and agri-ecosystem management across the globe through selected case studies. The primary aim of the book is to cover agro-biodiversity and agri-ecosystem advancements in the field of agricultural resource management. The book explores a range of technologies that support sustainable use of resources and facilities, such as Natural Resource Management (NRM), Resource Conservation Technologies (RCTs), Integrated Farming System (IFS), Integrated Crop Management (ICM), Integrated Nutrient Management (INM), use of solar energy, promotion of agro-ecological zone specific agricultural production, application of climate resilient technologies, secondary agricultural practices and post-harvest technologies. Agro-biodiversity and agri-ecosystem not only contributes to overall growth of the economy but also reduces poverty by providing employment and food security to the majority of the population in the continent and thus it is the most inclusive growth sectors of the economy of Asian and African countries. The book is relevant for researchers and policy makes in the field of agriculture, food system research, ecology, agricultural diversification, resource management etc.

The year 2022 has been declared by the United Nations as the "International Year of Basic Sciences for Sustainable Development". Sustainable development is focused on the UN's 17 Sustainable Development Goals. These require the use of basic sciences. This edited book (volume 1) is a collection of twelve invited and peer-reviewed contributions from chemistry, materials science, energy applications, and artificial intelligence.