Showing titles in Computer Science

The Age of Living Machines describes some of the most exciting new developments and the scientists and engineers who helped create them. Virus-built batteries. Protein-based water filters. Cancer-detecting nanoparticles. Mind-reading bionic limbs. Computer-engineered crops. Together they highlight the promise of the technology revolution of the 21st century to overcome some of the greatest humanitarian, medical, and environmental challenges of our time.

The Age of Prediction is about two powerful, and symbiotic, trends: the rapid development and use of artificial intelligence and big data to enhance prediction, as well as the often paradoxical effects of these better predictions on our understanding of risk and the ways we live. Beginning with dramatic advances in quantitative investing and precision medicine, this book explores how predictive technology is quietly reshaping our world in fundamental ways, from crime fighting and warfare to monitoring individual health and elections.

Medicine has become inhuman, to disastrous effect. The doctor-patient relationship - the heart of medicine - is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality.

A compelling and clear exploration of the power and peril of advanced artificial intelligence that provides actionable suggestions for all citizens to create a safer future with AI.

Information architecture (IA) is far more challenging - and necessary - than ever. To guide you through this broad ecosystem, this popular guide - now in its fourth edition - provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message.

A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, "computational thinking" has become part of the K-12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

Doomsday prophets of technology predict that robots will take over the world, leaving humans behind in the dust. Tech industry boosters think replacing people with software might make the world a better place—while tech industry critics warn darkly about surveillance capitalism. Despite their differing views of the future, they all agree: machines will soon do everything better than humans. How to Stay Smart in a Smart World shows why that's not true, and tells us how we can stay in charge in a world populated by algorithms.

Computer science is a field that deals with the study of computers and computational systems. It encompasses both the theoretical and practical aspects of computing, including algorithms, data structures, programming languages, software engineering, and more. It's about understanding how computers work, how they can solve problems, and how they interact with humans and other systems.

5th Edition - New for 2024 A great intro to Computer Science concepts for all ages. Perfect for: AP Computer Science Principles (AP-CSP) Teacher Certification Tests (PRAXIS, GACE, etc.) Integrated Digital Technology CS Foundations Exploring Computer Science Curious kids and adults Everyone!--- The 5th edition comes with several updates, including: Computing Systems Deeper dive into CPU/GPU More on logic gate Other updates And more!--- Computer science is the world's fastest growing field of study, and this growth is showing no signs of slowing down. As a new field, computer science can seem...

Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.

In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.

AI Revolution 2023: Harnessing Artificial Intelligence for Profitable Startups and Business Success is a thorough exploration of the profound impact artificial intelligence (AI) is making in the business world.

In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.

Can a well-programmed machine do anything a human can - only better? Complex algorithms are buying our groceries, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we've taken solace in the notion that they can't create. But now that algorithms can learn and adapt, does the future of creativity belong to machines too?

A comprehensive guide to successful event management, this audiobook serves as a valuable resource for both beginners and seasoned professionals, equipping them with the tools needed to plan, execute, and evaluate memorable events. The guide takes listeners through a deep exploration of understanding their audience, conceptualizing resonant events, managing budgets, procuring vendors, effectively marketing, and embracing technology. It also emphasizes the power of networking and the importance of post-event evaluation for continuous improvement.

A lo largo del último siglo, la humanidad ha logrado lo imposible frenando la hambruna, la peste y la guerra. Por primera vez en la historia, más personas mueren por obesidad que por pasar hambre y hay más probabilidades de quitarse la vida que de morir en un conflicto bélico o un atentado terrorista.

This is the first reference book on intelligent automation (IA). Also called hyperautomation, it is one of the most recent trends in the field of artificial intelligence. IA is a cutting-edge combination of methods and technologies involving people, organizations, machine learning, low-code platforms, robotic process automation (RPA), and more. This book is for everyone - whether you are an experienced practitioner, new to the topic, or simply interested in what the future holds for enterprises, work, life, and society as a whole.

As humans compete for work against faster, cheaper, and smarter technology, the flood of AI-generated information undermines traditional expertise, eroding essential skills like writing, analysis, and decision-making. Despite these challenges, AI presents immense opportunities for those who master its intricacies, such as driving innovation, improving efficiency, and creating new markets. Can we thread the needle balancing the immeasurable benefits with the profound risks that AI presents to our future?

How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in AI strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network? As Peter Robin Hiesinger argues, "the information problem" underlies both fields.