Smart Machine

Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does Intelligence frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works and the processed information reflects an imperfect world.

In nearly every industry, smart machines are replacing human labor. It's not just factory jobs - automated technologies are handling people's investments, diagnosing illnesses, and analyzing written documents. If we humans are going to endure, Edward Hess and Katherine Ludwig say we're going to need a dose of humility. We need to be humble enough to let go of the idea that "smart" means knowing the most, using that information quickest, and making the fewest mistakes. Smart machines will always be better than we are at those things.

In this audiobook, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today's machines so smart. Science and technology buffs will find this audiobook an essential guide to a future in which machines can outsmart people.

In an exposition reminiscent of crossover works such as Gödel, Escher, Bach and Fermat's Last Theorem, Andrew Smart weaves together Mangarevan binary numbers, the discovery of LSD, Leibniz, computer programming, and much more to connect the vast but largely forgotten world of psychedelic research with the resurgent field of AI and the attempt to build conscious robots.

Written by bestselling author Tom Davenport and Deloitte's Nitin Mittal, All-In on AI looks at artificial intelligence at its cutting edge from the viewpoint of established companies like Anthem, Ping An, Airbus, and Capital One. Filled with insights, strategies, and best practices, All-In on AI also provides leaders and their teams with the information they need to help their own companies take AI to the next level.

Artificial intelligence is everywhere—powering news feeds, curating search results, and invisibly steering our lives. We talk to it and, increasingly, it talks back. And sometimes, its answers seem eerily smart, until they don't.

The greatest threat we face is not robots replacing us, but our reluctance to reinvent ourselves. We live in an age of wonder: cars that drive themselves, devices that anticipate our needs, and robots capable of everything from advanced manufacturing to complex surgery. Automation, algorithms, and AI will transform every facet of daily life, but are we prepared for what that means for the future of work, leadership, and creativity?

Navigating the complexities of the stock market can be daunting. This book demystifies the process, offering clear, concise, and practical insights into using AI technologies to identify trends, predict market movements, and manage investment risks effectively. Whether you're planning for retirement, looking to grow your personal wealth, or simply curious about stock market investing, this guide is your first step towards financial empowerment.

Over the past 10 years, urban planners, technology companies, and governments have promoted smart cities with a somewhat utopian vision of urban life made knowable and manageable through data collection and analysis. Emerging smart cities have become both crucibles and showrooms for the practical application of the Internet of Things, cloud computing, and the integration of big data into everyday life. Are smart cities optimized, sustainable, digitally networked solutions to urban problems? Or are they neoliberal, corporate-controlled, undemocratic non-places?

Leaders already know that the classic approach to strategy - analyze, plan, execute - is losing relevance. But they don't yet know what replaces it. As everyone and everything becomes more interconnected and digitized, how do you operate, compete, and win? Ming Zeng, the former chief of staff and strategy adviser to Alibaba Group's founder, Jack Ma, explains how the latest technological developments, such as artificial intelligence, machine learning, the mobile internet, and cloud computing, are redefining how value is created.

Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by finely tuned algorithms trained with huge datasets. AI is transforming the way business is done; learn the techniques and strategies to apply this cutting-edge tech to your own businesses.

Drawing on decades of research into decision-making under uncertainty, Gerd Gigerenzer makes a compelling case for the enduring importance of human discernment in an automated world that we are told can - and will - replace our efforts. Filled with practical examples and cutting-edge research, How to Stay Smart in a Smart World examines the growing role of AI at all levels of daily life with refreshing clarity. This book is a life raft in a sea of information and an urgent invitation to actively shape the digital world in which we want to live.

Jamie Merisotis, author of the award-winning 2016 book America Needs Talent, argues that people will coexist with smart machines by learning, earning, and serving others over their lifetimes. But Merisotis asserts large-scale change is necessary to develop and hone the knowledge, skills, and abilities that render us uniquely human. These qualities include compassion, critical thinking, ethical reasoning, and interpersonal communication.

In Only Humans Need Apply, Thomas Hayes Davenport and Julia Kirby reframe the conversation about automation, arguing that the future of increased productivity and business success isn't either human or machine. It's both. The key is augmentation, utilizing technology to help humans work better, smarter, and faster. Instead of viewing these machines as competitive interlopers, we can see them as partners and collaborators in creative problem solving as we move into the next era.

What's wrong with preferring domestic assistants with feminine personalities? We like our assistants to conform to gender stereotypes - so what? For one thing, Strengers and Kennedy remind us, the design of gendered devices reinscribes outdated and unfounded stereotypes. Strengers and Kennedy offer a Smart Wife "manifesta", proposing a rebooted Smart Wife that would promote a revaluing of femininity in society in all her glorious diversity.

How smart machines are transforming us all - and what we should do about it. The smart machines revolution is reshaping our lives and our societies. Here, Nigel Shadbolt (one of Britain’s leading authorities on artificial intelligence) and Roger Hampson dispel terror, confusion and misconception. We are not about to be elbowed aside by a rebel army of superintelligent robots of our own creation. We were using tools before we became Homo sapiens and will continue to control them. How we exercise that control - in our private lives, in employment, in politics - and make the best of the wonderful opportunities will determine our collective future well-being.

Elon Musk, Stephen Hawking, and Bill Gates have proclaimed Artificial Intelligence as a possible threat in the future unless humans learn to use it wisely. Could this be true? Is it possible for us to create artificial intelligence programming so that we'll soon have thinking and feeling AI? Is it even possible for us to have a human-looking AI run for president in the future? All of these questions and thoughts are addressed in Artificial Intelligence: Understanding A.I. and the Implications of Machine Learning.

This is a sci-fi thriller in which a decorated soldier is set out to kill androids that have "gone off the farm" and are now a threat to the rest of Earth's inhabitants.

Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by fine-tuned algorithms trained with huge data sets. In this guide, you're going to be handed all the information and tools you need to transform data into powerful insights.

Yes, you can succeed in an AI-driven world by unleashing your potential in machine learning! A working knowledge of AI and ML is no longer a “nice-to-have” but an “essential” in today's job market. But what if you feel lost amid the tech jargon? What if terms like “algorithms”, “neural networks”, or “data preprocessing” sound like a foreign language to you?