The Secret Behind Our Perceptions Finally Revealed! Why do we gravitate to products endorsed by celebrities? Why does time seem to go by faster as we get older? Why are some athletes perpetual winners and others losers? Exploring the brain’s ability to interpret and make sense of the world, Dr. Brian Boxer Wachler describes how your perception can be reality or fantasy and how to separate the two, which is the basis of improving your Perceptual Intelligence (PI). With concrete examples and case studies, Dr. Brian (as he’s known to his patients) explains why our senses do not always match reality and how we can influence the world around us through perceptions, inward and outward. By fine-tuning your PI, you can better understand what’s really going on and make more insightful decisions in your life.
It seems like every week, if not everyday, a new article is published about obesity and diabetes. Americans are getting heavier every year. The percentage of overweight boys and girls has more than doubled during the past two decades. Since both positive and negative behaviors established at a young age have a high probability of persisting into adulthood, it is likely that inactive kids will become inactive adults. This trend can be altered if we decide to accept the solution, eat healthier and exercise. This story is about a young girl who is overweight and is teased and bullied about her weight and her size. After some disturbing news from her doctor, Sarah with the help of her family decides that she will meet her problem head-on by taking control of her life through a healthy diet and exercise. Sarah becomes fit and her self-esteem soars. When it comes to dealing with obesity and possibly the onset of diabetes, we all know the solution is a healthy diet and exercise, but we lack the motivation. Well, Sarah's here, and she is ready to kick butt.
Machine learning and artificial intelligence are already widely applied to facilitate our daily lives, as well as scientific research, but with the world currently facing a global COVID-19 pandemic, their capacity to provide an important tool to support those searching for a way to combat the novel corona virus has never been more important. This book presents the proceedings of the International Conference on Machine Learning and Intelligent Systems (MLIS 2020), which was due to be held in Seoul, Korea, from 25-28 October 2020, but which was delivered as an online conference on the same dates due to COVID-19 restrictions. MLIS 2020 was the latest in a series of annual conferences that aim to provide a platform for exchanging knowledge about the most recent scientific and technological advances in the field of machine learning and intelligent systems. The annual conference also strengthens links within the scientific community in related research areas. The book contains 53 papers, selected from more than 160 submissions and presented at MLIS 2020. Selection was based on the results of review and scored on: originality, scientific/practical significance, compelling logical reasoning and language. Topics covered include: data mining, image processing, neural networks, human health, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics. Offering a current overview of research and developments in machine learning and artificial intelligence, the book will be of interest to all those working in the field.
Truly personal handheld and wearable technologies should be small and unobtrusive and allow access to information and computing most of the time and in most circumstance. Complimentary, environment-based technologies make artifacts of our surrounding world computationally accessible and facilitate use of everyday environments as a ubiquitous computing interface. The International Symposium on Handheld and Ubiquitous Computing, held for the first time in September 1999, was initiated to investigate links and synergies in these developments, and to relate advances in personal technologies to those in environment-based technologies. The HUC 99 Symposium was organised by the University of Karlsruhe, in particular by the Telecooperation Office (TecO) of the Institute for Telematics, in close collaboration with ZKM Karlsruhe, which generously hosted the event in its truly inspiring Center for Arts and Media Technology. The symposium was supported by the Association of Computing Machinery (ACM) and the German Computer Society (Gesellschaft f r Informatik, GI) and held in cooperation with a number of special interest groups of these scientific societies. HUC 99 attracted a large number of paper submissions, from which the international programme committee selected 23 high-quality contributions for presentation at the symposium and for inclusion in these proceedings. In addition, posters were solicited to provide an outlet for novel ideas and late-breaking results; selected posters are also included with these proceedings. The technical programme was further complemented by four invited keynote addresses, and two panel sessions.
The rise of technology has led to rapid developments in robotic intelligence and its various applications. The success or failure of these systems is linked closely with effective perception and cognition models. Aligning Perceptual and Conceptual Information for Cognitive Contextual System Development: Emerging Research and Opportunities is an innovative source of academic content on approaches to cognitive and perceptual systems development in artificial intelligence. Including a range of relevant topics such as object processing, implicit symbols, and knowledge representation, this book is ideally designed for engineers, academics, practitioners, and students interested in perceptual and conceptual interpretation in artificial intelligence.
Intelligent environments are revolutionizing the ways in which people live, work, and play. Such an environment, typically called a smart environment, is a small, specialized world where all kinds of devices work together to make inhabitants' lives more comfortable. These environments are as varied and individualized as the people who live there, with technologies that range from safety and security systems, to robotic lawn mowers, to intelligent cars, kitchens, and more. The interdisciplinary scope of the field integrates aspects of machine learning, human-machine interfacing, wireless networking, mobile communications, sensor networks, and pervasive computing. Smart Environments explores the state of the art in this exploding field, and shows the impact these environments are having in homes, offices, classrooms, hospitals and automobiles. It examines everything from design and architecture to health care issues and software engineering is explored and utilized in these far-reaching applications. With contributions from leading researchers in a wide array of disciplines, Smart Environments covers such important topics as: wireless sensor networks, middleware, home and office networking and appliances, location and estimation techniques, automated decision-making, privacy and security issues, assisted environments for individuals with special needs, future trends, and much more.