This book considers how we might think intelligently about the future. Taking different methodological approaches, well-known specialists forecast likely future developments and trends in human life.

Why wonder or worry about the future? God has given you a sneak preview. With all that’s transpiring in the world, people can’t help but wonder what the future holds. Will there ever be peace on earth? How long will the world live under the threat of terrorism? Is a one-world ruler on the horizon? God has already provided answers to these questions in the book of Daniel, which sets forth His blueprints for the future. In fact, when you understand the prophecies Daniel reveals, every other prophecy in the Bible will fit somewhere in the plan. If you want to understand the future, if you want to know what will happen in the “end of days,” you need to begin with the prophecies of the Book of Daniel. Join me on this glorious adventure into the future. --Kay Arthur The 40-Minute Bible Studies tackle vital issues in short, easy-to-grasp lessons for personal or group use–with no homework required.

This resource is filled with a combination of true life experiences, proven facts, and biblical truths that can give life new meaning and purpose.

“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.

New research and innovations in the field of science are leading to life-changing and world-altering discoveries like never before. What does the horizon of science look like? Who are the scientists that are making it happen? And, how are we to introduce these revolutions to a society in which a segment of the population has become more and more skeptical of science? Climate change is the biggest challenge facing our nation, and scientists are working on renewable energy sources, meat alternatives, and carbon dioxide sequestration. At the same time, climate change deniers and the politicization of funding threaten their work. CRISPR, (Clustered Regularly Interspaced Short Palindromic Repeats) repurposes bacterial defense systems to edit genes, which can change the way we live, but also presents real ethical problems. Optogenetics will help neuroscientists map complicated neural circuitry deep inside the brain, shedding light on treating Alzheimer’s and Parkinson’s disease. Zimmer also investigates phony science ranging from questionable “health” products to the fervent anti-vaccination movement. Zimmer introduces readers to the real people making these breakthroughs. Concluding with chapters on the rise of women in STEM fields, the importance of US immigration policies to science, and new, unorthodox ways of DIY science and crowdsource funding, The State of Science shows where science is, where it is heading, and the scientists who are at the forefront of progress.

Thinking about the future is essential for almost all organizations and societies. States, corporations, universities, cities, NGOs and individuals believe they cannot miss the future. But what exactly is the future? It remains a mystery – perhaps the greatest mystery, especially because futures are unpredictable and often unknowable, the outcome of many factors, known and unknown. The future is rarely a simple extrapolation from the present. In this important book, John Urry seeks to capture the many efforts that have been made to anticipate, visualize and elaborate the future. This includes examining the methods used to model the future, from those of the RAND Corporation to imagined future worlds in philosophy, literature, art, film, TV and computer games. He shows that futures are often contested and saturated with different interests, especially in relation to future generations. He also shows how analyses of social institutions, practices and lives should be central to examining potential futures, and issues such as who owns the future. The future seems to be characterized by 'wicked problems'. There are multiple 'causes' and 'solutions', long-term lock-ins and complex interdependencies, and different social groups have radically different frames for understanding what is at stake. Urry explores these issues through case-studies of 3D printing and the future of manufacturing, mobilities in the city, and the futures of energy and climate change.