Naiad, the home world, is a frozen ball, but the colonists persevere and expand through wormholes to remote systems.Navigating the time-space anomalies requires Axis-ships. The expensive vessels are constructed by corporations, and remote worlds are claimed by the companies for their valuable ores and gases.The corporations and Naiads are at odds with each other, and their lives are made more complicated by the arrival of strangers in an alien ship.To understand the nature of the unusual vessel coasting toward Beta Two, the director of operations orders the kidnapping of specialists from other mining worlds. Entire families are scooped up, but two siblings, Escher and Allie, evade capture.Hiding deep below the domes’ surfaces, the siblings are befriended by the orphans of miners. The young mickies don’t possess identification chips or cids, which would identify them as citizens.The gang of mickies and the siblings strike a deal to help each other. Each group is determined to reach Naiad. The mickies seek citizen status and freedom, and Escher and Allie want help rescuing their parents.The beleaguered group’s hastily derived plans bury them in criminal complications. When all appears lost, a second alien vessel exits the dark. The hull is similar to the ship at Beta Two, and these strangers seek their enemies.

    Through the lives of Geoff Hinton and other major players, Metz explains this transformative technology and makes the quest thrilling.--Walter Isaacson, author of The Code Breaker Recipient of starred reviews in both Kirkus and Library JournalTHE UNTOLD TECH STORY OF OUR TIMEWhat does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create?With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn't drive and didn't fly because he could no longer sit down--but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess prodigy who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do.They took two very different paths to that lofty goal, and they disagreed on how quickly it would arrive. But both were soon drawn into the heart of the tech industry. Their ideas drove a new kind of arms race, spanning Google, Microsoft, Facebook, and OpenAI, a new lab founded by Silicon Valley kingpin Elon Musk. But some believed that China would beat them all to the finish line.Genius Makers dramatically presents the fierce conflict between national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question:How far will we let it go?

    

    After the plagues and wars, the only nation remaining under human control is an increasingly urbanised Japan, now reluctantly harbouring refugees from many other countries.In the Chiba Refugee Zone, the best Sergeant Tatsu Yamada of the Tokyo–Yokohama Metropolitan Police Department can hope for is that things don’t get measurably worse.

    To understand it fully, we must look beneath the surface. The positive side is that technology is making machines smarter. However, the deeper view explained in this book shows that AI is also making a growing number of people cognitively and psychologically dependent on digital networks. Whether you are a social media fanatic, a diehard AI aficionado, or a paranoid sceptic, it is impossible to escape the ubiquitous impact of AI. Artificial Intelligence is the brains bringing together quantum computing, nanotechnology, medical technology, brain-machine interface, robotics, aerospace, 5G, Internet of Things, and more. It is amplifying human ingenuity and disrupting the foundations of healthcare, military, entertainment, education, marketing and manufacturing.Artificial Intelligence and The Future of Power argues that this AI-driven revolution will have an unequal impact on different segments of humanity. There will be new winners and losers, new haves and have-nots, resulting in an unprecedented concentration of wealth and power. After analyzing society’s vulnerabilities to the impending tsunami, the book raises troubling questions that provoke immediate debate: Is the world headed toward digital colonization by USA and China? Will depopulation become eventually unavoidable?Artificial Intelligence and The Future of Power is a wakeup call to action, compelling public intellectuals to be better informed and more engaged. It educates the social segments most at risk and wants them to demand a seat at the table where policies on Artificial Intelligence are being formulated.

    Is this the end of the world?Meanwhile two computer scientists have been educating their baby in a remote location. Their baby is called Talos, and he is an advanced AI program. Every week they feed him data, starting from the beginning of written history, era by era, and ask him to predict what will happen next to the human race. At the same time they're involved in a increasingly fraught philosophical debate about why human life is sacred and why the purpose for which he was built - to predict threats to human life to help us avoid them - is a worthwhile and ethical pursuit.These two strands come together in a way that is always suspenseful, surprising and intellectually provocative: this is an extraordinarily prescient and vital work of fiction - an apocalyptic road novel to frighten and thrill.

    

    But after his press release, another potential scandal emerges when he saves Jensen, a man on the run from an unknown assailant. Now living under the same roof, and paparazzi on every corner, could this romance be even more disastrous than his first?

    Trust No One. And work just hard enough not to make enemies.Here, in the last sanctuary for the dying embers of the human race in a world run by artificial intelligence, if you stray from the path - your life is forfeit. But when a Party propagandist is killed - and is discovered as a "machine" - he's given a new mission: chaperone the widow, Lily, who has arrived to claim her husband's remains.But when South sees that she, the first "machine" ever allowed into the country, bears an uncanny resemblance to his late wife, he's thrown into a maelstrom of betrayal, murder, and conspiracy that may bring down the Republic for good.WHEN THE SPARROW FALLS illuminates authoritarianism, complicity, and identity in the digital age, in a page turning, darkly-funny, frightening and touching story that recalls Philip K. Dick, John le Carré and Kurt Vonnegut in equal measure.

    Greatest Britain: For a Global Universe.Agent Isaac Steele has problems. He spends all his splibs on drink and drugs. He has some deep-seated and very much unresolved issues with his parents. And his robotic partner at Greatest Britain’s Department of Clarification, Dr Timothy Stephens, is ruled more by his heart than his hard drive. But all these issues take a back seat when Isaac stumbles upon a case involving the most sensitive information in the cosmos - a Never File, inaccessible to all except those with the highest clearance. He is expressly forbidden to involve himself. So naturally he does. So begins an investigation that will take him across the Discovered Universe, into the path of the mysterious Forever Man, and eventually to answers about his past. Along the way, he will have to contend with aliens, robots, monsters, bureaucrats and, perhaps most deadly of all, his own numerous flaws. Written and narrated by Daniel Rigby (Flowers, Black Mirror), not since The Hitchhiker’s Guide to the Galaxy have listeners been offered such a joyful, anarchic and insightful universe. Contains strong language

    For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world-not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought.

    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.A tech entrepreneur and pioneering research scientist working at the forefront of natural language processing, 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. Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. This is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don't correlate data sets: we make conjectures informed by context and experience. Human intelligence is a web of best guesses, given what we know about the world. We haven't a clue how to program this kind of intuitive reasoning, known as abduction. Yet it is the heart of common sense. That's why Alexa can't understand what you are asking, and why AI can only take us so far.Larson argues that AI hype is both 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 want to make real progress, we will need to start by more fully appreciating the only true intelligence we know--our own.

    They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations that understand these tools and know how to use them are benefiting at the expense of their rivals.Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies.This revised and fully updated edition contains several new sections and chapters, covering a broader set of topics than before, but retains the no-nonsense style of the original.Steven Finlay is a data scientist and author with more than 20 years’ experience of developing practical, business focused, analytical solutions. He holds a PhD in management science and is an honorary research fellow at Lancaster University in the UK.

    AI is impossible to avoid online. And it has already changed everything from how doctors diagnose disease to how you interact with friends or read the news. But in Rule of the Robots, Martin Ford argues that the true revolution is yet to come. In this sequel to his prescient New York Times bestseller Rise of the Robots, Ford presents us with a striking vision of the very near future. He argues that AI is a uniquely powerful technology that is altering every dimension of human life, often for the better. For example, advanced science is being done by machines, solving devilish problems in molecular biology that humans could not, and AI can help us fight climate change or the next pandemic. It also has a capacity for profound harm. Deep fakes—AI-generated audio or video of events that never happened—are poised to cause havoc throughout society. AI empowers authoritarian regimes like China with unprecedented mechanisms for social control. And AI can be deeply biased, learning bigoted attitudes from us and perpetuating them. In short, this is not a technology to simply embrace, or let others worry about. The machines are coming, and they won’t stop, and each of us needs to know what that means if we are to thrive in the twenty-first century. And Rule of the Robots is the essential guide to all of it: both AI and the future of our economy, our politics, our lives.

    In the final Vader’s Castle tale, Lina, Hudd, Skritt, and Jaxxon race to Mustafar to save Milo and Crater. Will the group be able to fight the ghosts that still haunt the castle, or will the galaxy forever be bound to suffer from the wrath of the GHOSTS OF VADER’S CASTLE?

    

    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, motivating the questions driving forward the frontiers of research. How does genetic information unfold during the years-long process of human brain development--and is there a quicker path to creating human-level artificial intelligence? Is the biological brain just messy hardware, which scientists can improve upon by running learning algorithms on computers? Can AI bypass the evolutionary programming of "grown" networks? Through a series of fictional discussions between researchers across disciplines, complemented by in-depth seminars, Hiesinger explores these tightly linked questions, highlighting the challenges facing scientists, their different disciplinary perspectives and approaches, as well as the common ground shared by those interested in the development of biological brains and AI systems. In the end, Hiesinger contends that the information content of biological and artificial neural networks must unfold in an algorithmic process requiring time and energy. There is no genome and no blueprint that depicts the final product. The self-assembling brain knows no shortcuts.Written for readers interested in advances in neuroscience and artificial intelligence, The Self-Assembling Brain looks at how neural networks grow smarter.

    Yes, today’s AI systems are miracles of modern engineering, but no, humans do not have to fear robots seizing control or taking over all our jobs. In this exploration of the fascinating and ever-changing landscape of artificial intelligence, Dr. Shwartz explains how AI works in simple terms. After reading this captivating book, you will understand • the inner workings of today’s amazing AI technologies, including facial recognition, self-driving cars, machine translation, chatbots, deepfakes, and many others; • why today’s artificial intelligence technology cannot evolve into the AI of science fiction lore;• the crucial areas where we will need to adopt new laws and policies in order to counter threats to our safety and personal freedoms resulting from the use of AI. So although we don’t have to worry about evil robots rising to power and turning us into pets—and we probably never will—artificial intelligence is here to stay, and we must learn to separate fact from fiction and embrace how this amazing technology enhances our world.

    Richard Petty explore the seismic social changes that will be thrust on the world over the coming decades. The Rise of Technosocialism seeks to answer how our children will live with AI and climate disruption, the impact of COVID-19 in our lives along with which economies will likely emerge victorious in an always-on, smart world.

    No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Discover powerful machine learning techniques you can understand and apply using only high school math! Put simply, machine learning is a set of techniques for data analysis based on algorithms that deliver better results as you give them more data. ML powers many cutting-edge technologies, such as recommendation systems, facial recognition software, smart speakers, and even self-driving cars. This unique book introduces the core concepts of machine learning, using relatable examples, engaging exercises, and crisp illustrations. About the book Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you’ll build interesting projects with Python, including models for spam detection and image recognition. You’ll also pick up practical skills for cleaning and preparing data. What's inside     Supervised algorithms for classifying and splitting data     Methods for cleaning and simplifying data     Machine learning packages and tools     Neural networks and ensemble methods for complex datasets About the reader For readers who know basic Python. No machine learning knowledge necessary. About the author Luis G. Serrano is a research scientist in quantum artificial intelligence. Previously, he was a Machine Learning Engineer at Google and Lead Artificial Intelligence Educator at Apple. Table of Contents 1 What is machine learning? It is common sense, except done by a computer 2 Types of machine learning 3 Drawing a line close to our points: Linear regression 4 Optimizing the training process: Underfitting, overfitting, testing, and regularization 5 Using lines to split our points: The perceptron algorithm 6 A continuous approach to splitting points: Logistic classifiers 7 How do you measure classification models? Accuracy and its friends 8 Using probability to its maximum: The naive Bayes model 9 Splitting data by asking questions: Decision trees 10 Combining building blocks to gain more power: Neural networks 11 Finding boundaries with style: Support vector machines and the kernel method 12 Combining models to maximize results: Ensemble learning 13 Putting it all in practice: A real-life example of data engineering and machine learning

    

    Set in a mad world overseen by “The Neon God”, the deceitful and ubiquitous digital hive-mind A.I. controlling the metropolis of New Vega, five people are made to compete for “Gold Stars” in hope of escaping their impending doom.ABOUT THE BOOKFive days before the inevitable end of humanity, five unlikely heroes find themselves on an impossible quest to outlive the apocalypse.Aurora, Stella, Rolf, Tümay and Sorano must challenge themselves to beat the Neon God’s Algorithm in a crumbling, totalitarian, surveillance state complicated by crime, technology and civil unrest. Under the ubiquitous eye of the Neon God, they set out to collect “Gold Stars” – an elusive, difficult to obtain, merit-based currency – and secure a seat on the last shuttle to Luna.In a desperate attempt to save her baby daughter, Aurora must navigate the Dark and do her utmost to survive the last technological remnants of a dying civilization.GENRE: neon science-fiction, survival thriller;SUBJECT: nature and technology, digital totalitarianism, meta-reality, social commentary, the nature of reality;THEMES: inner and outer self, ideology vs. identity, will to survive, darkness and light, escapism, motherhood, love, sacrifice and redemption;WORLD: futuristic totalitarian dystopia, global apocalypse, crumbling civilization.Want to uncover more stories from the mind of Louise Blackwick? Visit her on her website! louiseblackwick.com

    Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions.Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors such as education or gender?C�sar Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly. Through original research, How Humans Judge Machines bring us one step closer tounderstanding the ethical consequences of AI.

    Newly orphaned, and horribly disfigured from a car accident, Evelyn finds herself ensnared in a dangerous game between a narcissistic CEO and a brilliant surgeon. In order to survive, she is forced to ignore her own moral compass, and recruit the homeless for deadly experiments where humans are merged with artificial intelligence, all for the "good" of mankind.The "Stranger in the Cloud" series brings readers on a fascinating exploration of the origins of artificial intelligence (AI). This electric journey into a dark future finds normal humans confronting horrors of powerful AI, oligarchic businessmen, and lingering emotional scars.

    Space-pirate Nyx Marcus is no exception. With it, she can prove to her father that she is worthy of his legacy. But she’s come up empty-handed aboard the space-ship Thanatos and now Malcam, her father’s First Officer, is mutinying. As Nyx flees with a loyal skeleton crew, she discovers that the planet-killing weapon, named after one of the seven gods, is more than what it seems. Erebus isn’t a simple weapon, but an ancient AI and a technological god.With the oppressive Queen of the Protectorate and new pirate captain Malcam searching for the Thanatos and Erebus, the AI god has more surprises for Nyx. Waking dormant AI code in Nyx’s blood, Erebus reveals they are family and Nyx is the head of the Seven Stars pantheon. But while Nyx’s only choice is to protect Erebus, she wants no part of her AI responsibilities. Now Nyx must learn to control her power without sacrificing her own humanity or give her enemies a new way to oppress the known universe and lose the family she holds dear.

    In issue #4, Lina’s dreams are visited by the ghost of the galaxy’s most threatening villain! The GHOSTS OF VADER’S CASTLE are looming closer...

    And yet, starting with Freud's treatments by mail, psychotherapy has operated through multiple communication technologies and media. These have included advice columns, radio broadcasts, crisis hotlines, video, personal computers, and mobile phones; the therapists (broadly defined) can be professional or untrained, strangers or chatbots. In The Distance Cure, Hannah Zeavin proposes a reconfiguration of the traditional therapeutic dyad of therapist and patient as a triad: therapist, patient, and communication technology.Zeavin tracks the history of teletherapy (understood as a therapeutic interaction over distance) and its metamorphosis from a model of cure to one of contingent help. She describes its initial use in ongoing care, its role in crisis intervention and symptom management, and our pandemic-mandated reliance on regular Zoom sessions. Her account of the "distanced intimacy" of the therapeutic relationship offers a powerful rejoinder to the notion that contact across distance (or screens) is always less useful, or useless, to the person seeking therapeutic treatment or connection. At the same time, these modes of care can quickly become a backdoor for surveillance and disrupt ethical standards important to the therapeutic relationship. The history of the conventional therapeutic scenario cannot be told in isolation from its shadow form, teletherapy. Therapy, Zeavin tells us, was never just a "talking cure"; it has always been a communication cure.

    After decades of sci-fi fantasies and hype, artificial intelligence has leapt out of research labs and Silicon Valley engineering departments and into the center of our lives. Algorithms shape everything around us, from the news we see to the products we buy and the relationships we form. And while the debate over whether or not automation will destroy jobs rages on, a much more important question is being ignored:What does it mean to be a human in a world that is increasingly built by and for machines?In Futureproof: 9 Rules for Humans in the Age of Automation, New York Times technology columnist Kevin Roose lays out a hopeful, pragmatic vision of how people can succeed in the machine age by making themselves irreplaceably human. He shares the secrets of people and organizations that have survived technological change, and explains how we can protect our own futures, with lessons like- Do work that is surprising, social, and scarce (the types of work machines can't do). - Demote your phone. - Work near other people. - Treat A.I. like an army of chimpanzees. - Add more friction to your life.Roose rejects the conventional wisdom that in order to compete with machines, we have to become more like them--hyper-efficient, data-driven, code-writing workhorses. Instead, he says, we should let machines be machines, and focus on doing the kinds of creative, inspiring, and meaningful things only humans can do.

    Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.

    In issue #3, catch up with Hudd and Skritt! Hudd has been dreaming of the Spirit of the Swamp, a gilled monster that terrorizes Dagobah! The GHOST OF VADER’S CASTLE are in all corners of the galaxy...

    It bridges the gap between the theoretical, experimental, and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science.Beginning with an overview of the historical, methodological, and technical issues in the field of cognitively inspired artificial intelligence, Lieto illustrates how the cognitive design approach has an important role to play in the development of intelligent AI technologies and plausible computational models of cognition. Introducing a unique perspective that draws upon Cybernetics and early AI principles, Lieto emphasizes the need for an equivalence between cognitive processes and implemented AI procedures, in order to realize biologically and cognitively inspired artificial minds. He also introduces the Minimal Cognitive Grid, a pragmatic method to rank the different degrees of biological and cognitive accuracy of artificial systems in order to project and predict their explanatory power with respect to the natural systems taken as a source of inspiration.Providing a comprehensive overview of cognitive design principles in constructing artificial minds, this text will be essential reading for students and researchers of artificial intelligence and cognitive science.

    These fast, autonomous, and opaque machines offer great benefits - and significant risks. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed - including the role that AI might play in regulating itself. Drawing on diverse technologies and examples from around the world, the book offers lessons on how to manage risk, draw red lines, and preserve the legitimacy of public authority. Though the prospect of AI pushing beyond the limits of the law may seem remote, these measures are useful now - and will be essential if it ever does"--

    When it fails, the results can be devastating.Most AI models never make it out of testing, but those failures aren’t random. This practical guide to deploying AI lays out a human-first, responsible approach that has seen more than three times the success rate when compared to the industry average.In Real World AI, Alyssa Simpson Rochwerger and Wilson Pang share dozens of AI stories from startups and global enterprises alike featuring personal experiences from people who have worked on global AI deployments that impact billions of people every day.AI for business doesn’t have to be overwhelming. Real World AI uses plain language to walk you through an AI approach that you can feel confident about—for your business and for your customers.

    And my experiences have taught me many things. So, when given the option to either sit on the sideline and watch as things unravelled all around me, or leave the only family I have ever known and loved and do something about it, I chose to be a hero.Of course, I didn't count on a lurid red spaceship that looks like a downtrodden dog, or the seedy, backstabbing arms dealer in the galaxy's crappiest black market, or the Synthetic Hunter who didn't like that I had broken into one of its masters' supply caches and stole a whole bunch of stuff.Sometimes being a hero sucks.Sometimes, it hurts.But I'm not your average artificial intelligence. I'm a third-gen out of New Earth. [End Recording]

    They are also very hard questions to answer. After all, how can a mindunderstand itself? How can you understand something as complex as the tool that is being used to understand it?This book provides an introductory and self-contained description of some of the exciting answers to these questions that modern theories of mind and brain have recently proposed. Stephen Grossberg is broadly acknowledged to be the most important pioneer and current research leader who has, for thepast 50 years, modelled how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. This research has led to a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about theworld, and effectively plan and act within it.The work embodies revolutionary Principia of Mind that clarify how autonomous adaptive intelligence is achieved. It provides mechanistic explanations of multiple mental disorders, including symptoms of Alzheimer's disease, autism, amnesia, and sleep disorders; biological bases of morality andreligion, including why our brains are biased towards the good so that values are not purely relative; perplexing aspects of the human condition, including why many decisions are irrational and self-defeating despite evolution's selection of adaptive behaviors; and solutions to large-scale problemsin machine learning, technology, and Artificial Intelligence that provide a blueprint for autonomously intelligent algorithms and robots.Because brains embody a universal developmental code, unifying insights also emerge about shared laws that are found in all living cellular tissues, from the most primitive to the most advanced, notably how the laws governing networks of interacting cells support developmental and learning processesin all species.The fundamental brain design principles of complementarity, uncertainty, and resonance that Grossberg has discovered also reflect laws of the physical world with which our brains ceaselessly interact, and which enable our brains to incrementally learn to understand those laws, thereby enablinghumans to understand the world scientifically.Accessibly written, and lavishly illustrated, Conscious Mind/Resonant Brain is the magnum opus of one of the most influential scientists of the past 50 years, and will appeal to a broad readership across the sciences and humanities.

    You’ll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You’ll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network.In addition you’ll find coverage of gradient descent including variations commonly used by the deep learning community: SGD, Adam, RMSprop, and Adagrad/Adadelta.

    But MIT Media Lab researcher and technology policy expert Kate Darling argues just the opposite, and that treating robots with a bit of humanity, more like the way we treat animals, will actually serve us better. From a social, legal, and ethical perspective, she shows that our current ways of thinking don't leave room for the robot technology that is soon to become part of our everyday routines. Robots are likely to supplement--rather than replace--our own skills and relationships. So if we consider our history of incorporating animals into our work, transportation, military, and even families, we actually have a solid basis for how to contend with this future.A deeply original analysis of our technological future and the ethical dilemmas that await us, The New Breed explains how the treatment of machines can reveal a new understanding of our own history, our own systems and how we relate--not just to non-humans, but also to each other.