Topics covered range from the difference between deductive and inductive reasoning, to a discussion of how to highlight the structure of information.

    A simple web search picks out a handful of relevant needles from the world's biggest haystack: the billions of pages on the World Wide Web. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers; and we use digital signatures to verify the identity of the websites we visit. How do our computers perform these tasks with such ease? This is the first book to answer that question in language anyone can understand, revealing the extraordinary ideas that power our PCs, laptops, and smartphones. Using vivid examples, John MacCormick explains the fundamental "tricks" behind nine types of computer algorithms, including artificial intelligence (where we learn about the "nearest neighbor trick" and "twenty questions trick"), Google's famous PageRank algorithm (which uses the "random surfer trick"), data compression, error correction, and much more. These revolutionary algorithms have changed our world: this book unlocks their secrets, and lays bare the incredible ideas that our computers use every day.

    It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills—and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These “bots” started with human programming and logic, but now their reach extends beyond what their creators ever expected. In this fascinating, frightening book, Christopher Steiner tells the story of how algorithms took over—and shows why the “bot revolution” is about to spill into every aspect of our lives, often silently, without our knowledge. The May 2010 “Flash Crash” exposed Wall Street’s reliance on trading bots to the tune of a 998-point market drop and $1 trillion in vanished market value. But that was just the beginning. In Automate This, we meet bots that are driving cars, penning haiku, and writing music mistaken for Bach’s. They listen in on our customer service calls and figure out what Iran would do in the event of a nuclear standoff. There are algorithms that can pick out the most cohesive crew of astronauts for a space mission or identify the next Jeremy Lin. Some can even ingest statistics from baseball games and spit out pitch-perfect sports journalism indistinguishable from that produced by humans. The interaction of man and machine can make our lives easier. But what will the world look like when algorithms control our hospitals, our roads, our culture, and our national security? What hap­pens to businesses when we automate judgment and eliminate human instinct? And what role will be left for doctors, lawyers, writers, truck drivers, and many others?  Who knows—maybe there’s a bot learning to do your job this minute.

    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?It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. The Pollockizer can produce drip paintings in the style of Jackson Pollock, Botnik spins off fanciful (if improbable) scenes inspired by J. K. Rowling, and the music-composing algorithm Emmy managed to fool a panel of Bach experts. But do these programs just mimic, or do they have what it takes to create? Du Sautoy argues that to answer this question, we need to understand how the algorithms that drive them work―and this brings him back to his own subject of mathematics, with its puzzles, constraints, and enticing possibilities.While most recent books on AI focus on the future of work, The Creativity Code moves us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines. It challenges us to reconsider what it means to be human―and to crack the creativity code.

    Corporations & government agencies around the world are pouring billions into achieving AI’s Holy Grail—human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with a rival more cunning, more powerful & more alien than we can imagine. Thru profiles of tech visionaries, industry watchdogs & groundbreaking AI systems, James Barrat's Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? Will they allow us to?

    If you're a reasonably proficient programmer who can think logically, you have all the background you'll need. Stepanov and Rose introduce the relevant abstract algebra and number theory with exceptional clarity. They carefully explain the problems mathematicians first needed to solve, and then show how these mathematical solutions translate to generic programming and the creation of more effective and elegant code. To demonstrate the crucial role these mathematical principles play in many modern applications, the authors show how to use these results and generalized algorithms to implement a real-world public-key cryptosystem. As you read this book, you'll master the thought processes necessary for effective programming and learn how to generalize narrowly conceived algorithms to widen their usefulness without losing efficiency. You'll also gain deep insight into the value of mathematics to programming--insight that will prove invaluable no matter what programming languages and paradigms you use. You will learn aboutHow to generalize a four thousand-year-old algorithm, demonstrating indispensable lessons about clarity and efficiencyAncient paradoxes, beautiful theorems, and the productive tension between continuous and discreteA simple algorithm for finding greatest common divisor (GCD) and modern abstractions that build on itPowerful mathematical approaches to abstractionHow abstract algebra provides the idea at the heart of generic programmingAxioms, proofs, theories, and models: using mathematical techniques to organize knowledge about your algorithms and data structuresSurprising subtleties of simple programming tasks and what you can learn from themHow practical implementations can exploit theoretical knowledge

    Full of insights, arguments and philosophical perspectives, the book covers an amazing array of topics. Beginning in antiquity with Democritus, it progresses through logic and set theory, computability and complexity theory, quantum computing, cryptography, the information content of quantum states and the interpretation of quantum mechanics. There are also extended discussions about time travel, Newcomb's Paradox, the anthropic principle and the views of Roger Penrose. Aaronson's informal style makes this fascinating book accessible to readers with scientific backgrounds, as well as students and researchers working in physics, computer science, mathematics and philosophy.

    Scientists have made progress: computers can now beat chess grandmasters and help prevent terrorist attacks. Yet we still await a machine that exhibits the rich complexity of human thought — one that doesn’t just crunch numbers, or take us to a relevant Web page, but understands us and gives us what we need.That vision has driven a team of engineers at IBM. Over three years, they created “Watson” and prepared it for a showdown on Jeopardy!, where it would take on two of the game’s all-time champions, Ken Jennings and Brad Rutter, in a nationally televised event. Final Jeopardy is the entertaining, illuminating story of that computer and that epic match.It’s a classic tale of Man vs. Machine. Like its human competitors, Watson has to understand language, including puns and irony, and master everything from history, literature, and science to arts, entertainment, and game strategy. After years of training, Watson can find the scrambled state capital in “Hair Gel” (“What is Raleigh?”) and even come up with the facial accessory that made Moshe Dayan recognizable worldwide (“What is an eye patch?”). Watson may just be the smartest machine on earth.Final Jeopardy traces the arc of Watson’s “life,” from its birth in the IBM labs to its big night on the podium. We meet Hollywood moguls and Jeopardy! masters, genius computer programmers and ambitious scientists, including Watson’s eccentric creator, David Ferrucci. We gain access to Ferrucci’s War Room, where the IBM team works tirelessly to boost Watson’s speed to the buzzer, improve its performance in “train wreck” categories (such as “Books in Español”), and fix glitches like the speech defect Watson developed during its testing phase, when it started adding a d to words ending in n (“What is Pakistand?”).Much is at stake, especially for IBM. A new generation of Watsons could transform medicine, the law, marketing, even science itself, as machines process huge amounts of data at lightning speed, answer our questions, and possibly come up with new hypotheses.Showdown aside, it’s clear that the future has arrived. But with it come questions: Where does it leave humans? What will Watson’s heirs be capable of in ten or twenty years? Is it time to declare defeat in the realm of facts? What should we teach our children? And what should we carry around in our own heads?Final Jeopardy takes on these questions and more in a narrative that’s as fast and fun as the game itself. Baker shows us how smart machines will fit into our world — and how they’ll disrupt it. www.finaljeopardy.net

    Meme Wars aims to accelerate the shift into this new paradigm that takes into account psychonomics, bionomics, and other aspects of our physical and mental environment that are often left out in discussions of economics. Like Adbusters, the book will be image heavy and full-color throughout. Lasn calls it "a textbook for the future" that provides the building blocks, in texts and visuals, for a new way of looking at and changing our world. Through an examination of alternative economies, Lasn hopes to spur students to become "barefoot economists" and to see that a humanization of economics is possible. Meme Wars will include contributions from Nobel Prize winner Joseph Stiglitz, Paul Samuelson, George Akerlof, Lourdes Benería, Julie Matthaei, Manfred Max-Neef, David Orrell, Paul Gilding, Mathis Wackernagel and the father of ecological economics Herman Daly, among others.Based on ideas that were presented in a special issue of Adbusters entitled "Thought Control in Economics: Beyond the Growth Paradigm / An Activist Toolkit," Meme Wars will help move forward the Occupy Wall Street movement.

    In Words and Rules, Steven Pinker explains the mysteries of language by examining a single construction from a dozen viewpoints, proposing that the essence of language is a mental dictionary of memorized words, and a mental grammar of creative rules.

    

    Polya, How to Solve It will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be reasoned out--from building a bridge to winning a game of anagrams. Generations of readers have relished Polya's deft--indeed, brilliant--instructions on stripping away irrelevancies and going straight to the heart of the problem.

    Stephen Montgomery presents a fresh new look at the four temperaments, the four ancient "people patterns" that are the key to personality types. In this updated and expanded 2nd edition, Dr. Montgomery cites over 250 characters from well-known movies and TV shows The Wizard of Oz, Sex and the City, Harry Potter, Star Trek, Star Wars, The Fantastic Four, The Incredibles, The Lord of the Rings, Ghost Busters, and many more to help bring the temperaments alive for a modern audience.People Patterns features an easy-to-score personality quiz, and easy-to-read chapters on dating & mating, parents & children, and talent & career (with over 750 job suggestions grouped according to type). The book begins with a brief history of the four temperaments (tracing the idea back to Hippocrates), and it ends with port

    You will be able to look over the shoulder of major coding and design experts to see problems through their eyes.This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things. The authors think aloud as they work through their project's architecture, the tradeoffs made in its construction, and when it was important to break rules. Beautiful Code is an opportunity for master coders to tell their story. All author royalties will be donated to Amnesty International.

    The meme is also one of the most important--and controversial--concepts to emerge since 'The Origin of the Species' appeared nearly 150 years ago.In 'The Meme Machine' Susan Blackmore boldly asserts: "Just as the design of our bodies can be understood only in terms of natural selection, so the design of our minds can be understood only in terms of memetic selection." Indeed, Blackmore shows that once our distant ancestors acquired the crucial ability to imitate, a second kind of natural selection began, a survival of the fittest amongst competing ideas and behaviors. Ideas and behaviors that proved most adaptive - making tools, for example, or using language--survived and flourished, replicating themselves in as many minds as possible. These memes then passed themselves on from generation to generation by helping to ensure that the genes of those who acquired them also survived and reproduced. Applying this theory to many aspects of human life, Blackmore offers brilliant explanations for why we live in cities, why we talk so much, why we can't stop thinking, why we behave altruistically, how we choose our mates, and much more.With controversial implications for our religious beliefs, our free will, our very sense of "self," 'The Meme Machine' offers a provocative theory everyone will soon be talking about.