Future Intelligence

Alla fine del 2017 un algoritmo di intelligenza artificiale ha collezionato una serie di vittorie schiaccianti a scacchi scegliendo mosse che la mente umana non è nemmeno in grado di assimilare o utilizzare. Qualche anno più tardi, i ricercatori del Massachusetts Institute of Technology (MIT) hanno annunciato la scoperta di un nuovo antibiotico ottenuto grazie all'aiuto dell'intelligenza artificiale, che era riuscita a individuare proprietà molecolari sfuggite alla concettualizzazione e alla classificazione degli scienziati.

Feel overwhelmed by Artificial Intelligence (AI)? Turn fear into fascination with this guide.

As machines are trained to "think", many tasks that previously required human intelligence are becoming automated through artificial intelligence. However, it is more difficult to automate emotional intelligence, and this is where the human worker's competitive advantage over machines currently lies. This book explores the impact of AI on everyday life, looking into workers' adaptation to these changes, the ways in which managers can change the nature of jobs in light of AI developments, and the potential for humans and AI to continue working together.

In the wake of World War II, four agents were critical in helping build a new organization that we now know as the CIA. Adelaide Hawkins, Mary Hutchison, Eloise Page, and Elizabeth Sudmeier, called the “wise gals” by their male colleagues because of their sharp sense of humor and even quicker intelligence, were not the stereotypical femme fatale of spy novels.

Entertaining and enlightening, this collection is an insightful guide to how computer science shapes and influences not just our day-to-day lives but also our future. Quantum Computing: Brian Clegg explains algorithms and their quantum counterparts. Big Data: Though big data can set us free and enhance our lives, it has the potential to create an underclass and a totalitarian state. Acclaimed science writer Brian Clegg brings big data to life. Artificial Intelligence: AI expert Yorick Wilks takes a journey through the history of artificial intelligence up to the present day.

In Robotaxi Revolution, Dr. Samuel Xiangming Li explores the transformative impact of autonomous taxis on the future of transportation and society. These self-driving vehicles, powered by cutting-edge AI and advanced sensor technologies, are set to redefine personal mobility, disrupt the auto industry, and reshape urban infrastructure. From ride-hailing services to the decline of car ownership, robotaxis promise to bring greater convenience, reduced emissions, and safer roads.

As the first book of its kind, Artificial Intelligence in Business and Technology guides listeners on an expansive journey through the transformative world of AI, offering a thorough dissection of this game-changing technology that promises to redefine our future.

Bob Muglia helps us understand how innovation in data and information technology have led us to AI—and how this technology must shape our future. The long-time Microsoft executive, former CEO of Snowflake, and current tech investor maps the evolution of the modern data stack and how it has helped build today's economy and society. And he explains how humanity must create a new social contract for the artificial general intelligence (AGI)—autonomous machines intelligent as people-that he expects to arrive in less than a decade.

Health care as it stands today needs to be re-imagined. Redefining the Boundaries of Medicine by Paul Cerrato and Dr. John Halamka challenges the profession to renegotiate its priorities and address the fact that it’s become timid and reluctant to explore new care delivery models. The guiding premise of this book is that rethinking and reimagining the way medicine is practiced in the 21st century will improve health outcomes, and that technology is central to this transformation.

Imagine a robotic stuffed animal that can read and respond to a child's emotional state or a commercial that can change based on a customer's facial expression. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate.

This is an audiobook about AI and AI risk. But it's also more importantly about a community of people who are trying to think rationally about intelligence, and the places that these thoughts are taking them, and what insight they can and can't give us about the future of the human race over the next few years. It explains why these people are worried, why they might be right and why they might be wrong.

In the age of artificial intelligence, where the lines between human and machine blur, a new era of creativity and possibility emerges. Surviving Creative Evolution by Shannon Hayner is your compass in this transformative landscape, offering a unique blend of spirituality, philosophy, and practical self-care strategies to help you not just survive but thrive amidst automation anxiety.

In this book we are exploring AI from the past, present, and future. Artificial intelligence is a myth that turned into reality. Living in these times, have you ever wondered how your digital assistant, whether in the form of Siri or Alexa, gets you and provides you answers to all your sudden inquiries? It’s all thanks to artificial intelligence. Before we dig into its purpose and how it works, we should get to know a bit more about what it actually is.

In Artificial You, Susan Schneider says that it is inevitable that AI will take intelligence in new directions but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with "tools" they do not understand how to use: the self, the mind, and consciousness.

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

A New York Times Magazine writer explores the Next Big Thing in tech - the impending revolution in voice recognition - and shows how it will upend Silicon Valley and transform how we use computers, the Web, and much more. Every decade or so brings a seismic shift in how people interact with tech, from the PC to the internet to the smartphone. James Vlahos shows that we are on the cusp of the next shift: to voice computing. Siri and Alexa are early forms of this technology, but soon we may talk as fluently with our phones, appliances, cars, etc. as we do with any human.

The Future of Work Now is more than a guide. It's a roadmap for understanding and navigating the changes sweeping across workplaces worldwide. It's an essential listen for business leaders, HR professionals, and employees who are navigating these changes, offering insights, case studies, and practical strategies for adapting to the evolving world of work. As we stand at the crossroads of a new work era, this book serves as a beacon, illuminating the path to a future where AI and hybrid models redefine what it means to work and succeed.

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. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.

Sensationalism about AI has reached new heights, and getting a useful understanding of it has never been more important. AI will extend and accelerate thinking, delivering unprecedented abundance. But it will also require us to navigate a path of challenges ranging from today’s issues of bias, privacy, and explainability, to job displacement through automation, and a future coexistence with superintelligent machines. This book is the roadmap to that path.