Showing titles in Computer Science

Big Tech has sold us the illusion that artificial intelligence is a frictionless technology that will bring wealth and prosperity to humanity. But hidden beneath this smooth surface lies the grim reality of a precarious global workforce of millions that labour under often appalling conditions to make AI possible. Feeding the Machine presents an urgent, riveting investigation of the intricate network of organisations that maintain this exploitative system, revealing the untold truth of AI.

Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.

Discover how to leverage cutting-edge AR and VR technologies to transform your small business! Whether you're a tech novice or a seasoned entrepreneur, this book provides the tools and knowledge to stay ahead of the competition in the digital age. Unlock the potential of AR and VR to drive growth, enhance customer engagement, and revolutionize your business operations.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

Mastering AI Humanoid Robotics: Driving Generative AI and ChatGPT for Real-World Humanoid Applications is an essential listen for innovators, tech enthusiasts, and anyone curious about the rapidly evolving field of humanoid robotics. This book offers an in-depth exploration of how Generative AI, including ChatGPT, is transforming humanoid robots from science fiction into real-world solutions for industries like healthcare, education, and manufacturing.

Misinformation affects us daily, from social media to politics and even personal relationships. Policing social media alone cannot solve the complex problem shaped by partisan politics and subjective interpretations of truth. In Misbelief social scientist Dan Ariely explores the behaviour of 'misbelief' that leads people to distrust accepted truths and embrace conspiracy theories. Misinformation taps into something innate in all of us, regardless of political affiliation. By understanding this psychology, we can mitigate its effects.

Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control.

Are you curious about AI but overwhelmed by tech jargon? Are you wondering how AI could revolutionize your daily life or business but unsure where to start? Are you intimidated by the rapid advancements in AI technology? You're in the right place. This guide is crafted for anyone eager to dive into AI, from complete novices to those with a tech background. It provides a clear, jargon-free introduction to Generative AI.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

A direct sequel to the events of the non-fiction space opera Empires of EVE: A History of the Great Wars of EVE Online, the second volume picks up immediately following the first book's climactic conclusion at the end of EVE Online's "Great War".

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

From mechanical looms to combustion engines to early computers, new technologies have always provoked panic about workers being replaced by machines. In the past, such fears have been misplaced, and many economists maintain that they remain so today. Yet in A World Without Work, Daniel Susskind shows why this time really is different. Advances in artificial intelligence mean that all kinds of jobs are increasingly at risk.

If you want to use ChatGPT to help with your work or school tasks but are afraid of being flagged by AI content detection, this is the book for you.

Humanity has reached a critical moment. Our world is unsettled and rapidly changing, and we face existential risks over the next century. Various outcomes - good and bad - are possible. Yet our approach to the future is characterized by short-term thinking, polarizing debates, alarmist rhetoric, and pessimism. In this short, exhilarating book, renowned scientist and best-selling author Martin Rees argues that humanity’s prospects depend on our taking a very different approach to planning for tomorrow.

AI is coming fast and will affect every part of a business, including the role of the leader. And up until now, leaders have largely ceded their role in the transformation-pushing determination of strategy out to tech teams and leaving investment decisions with groups that don't have a full view of the organization. Just when responsible leadership is more imperative than ever, leaders are not stepping up to understand and execute in the new world of human-machine collaboration. A generation of AI transformation failures awaits if leaders don't connect their use of AI to their strategies.

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.

Do multiple versions of ourselves exist in parallel universes living out their lives in different timelines? In this follow-up to his best seller, The Simulation Hypothesis, MIT computer scientist and Silicon Valley game pioneer Rizwan Virk explores these topics from a new lens: that of simulation theory. Bringing his unique trademark style of combining video games, computer science, quantum physics, and computing with lots of philosophy and science fiction, Virk gives us a new way to think about not just our universe, but all possible timelines in the multiverse!

We are used to thinking of computers as being a step up from calculators - very good at storing information, and maybe even at playing a logical game like chess. But up to now they haven't been able to think in ways that are intuitive, or respond to questions as a human might. All that has changed, dramatically, in the past few years. Our search engines are becoming answer engines. Artificial intelligence is already revolutionising sectors from education to healthcare to the creative arts. But how does an AI understand sentiment or context?

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

Computer technology has improved exponentially over the last 50 years. But the headroom for bigger and better electronic solutions is running out. Our best hope is to engage the power of quantum physics. Brian Clegg explains algorithms and their quantum counterparts, explores the physical building blocks and quantum weirdness necessary to make a quantum computer and uncovers the capabilities of the current generation of machines.