The robots are coming - but they probably don’t look anything like you expected…Artificial Intelligence (AI) is going to revolutionize your life. Will it cost you your job, or give you a new career? Will it isolate or liberate you? Will it lead us all into a new type of war, or save us all from sickness?The truth is that nobody knows, yet. But the AI revolution is fast approaching, and the world has little time to prepare. But prepare we must, because, as James Adams and Richard Kletter explain in Artificial Intelligence: Confronting the Revolution, what mankind has set in motion cannot now be undone - and it’s going to change everything.In this ground-breaking work, Adams and Kletter clearly explain the potential and likely ramifications of AI. They show how ill-prepared we are for the forthcoming ´´fourth industrial revolution´´ and look at how human beings might fare as it unfolds. Meticulously researched and extensively referenced, this audiobook to the brave new world is created by two highly credible authors, who use all of their experience, insight, and contacts to give listeners a privileged look into that which is to come. This is surely a ‘must read’ for anybody who takes an interest in current affairs and social history, as well as those with an interest in technology.James Adams is a former Sunday Times journalist and entrepreneur and a former Board Member of the National Security Agency who has worked with the CIA and the White House on issues including cyber security, warfare (including cyber warfare), espionage, and terrorism.Richard Kletter has been a Research Associate at Stanford focused on new communications technology, an adjunct professor at USC where he consults for the DOD lab, The Institute For Creative Technology. He co-holds mobile software patents and ran a web content company funded by leading tech companies. 1. Language: English. Narrator: James Adams. Audio sample: http://samples.audible.de/bk/acx0/139934/bk_acx0_139934_sample.mp3. Digital audiobook in aax.
The capabilities of artificial intelligence have fascinated human beings for decades. Advancements in the years following the Second World War provided fodder for science fiction writers, as well as computer scientists as they examined what a world filled with artificially intelligent machines might look like. Early imaginings in this area were often strange and exaggerated because the minds that imagined them came from a world were machines were little more than extensions of the human beings that controlled them. In Artificial Intelligence: A Modern Approach, the listener will see that as computer technology advanced, artificial intelligence and human beings seemed to evolve together, creating a world in which both occupied a special place. In fact, artificial intelligence is already part of all of our lives. In Artificial Intelligence: A Modern Approach, the listener will understand artificial intelligence well enough to recognize all the ways in which they already utilize artificial intelligence. Though many men and women in the world today use AI technology like Siri and Alexa, some do not make active use of this type of technology, and they see AI as something far removed from their lives. As the listener comes to understand AI better, they will see how facial recognition software, language processing software, and self-driving and maneuvering technology all represent applications of AI that are already a part of their life. What is artificial intelligence? Artificial intelligence can be described as the intelligence capabilities demonstrated by machines, but it also represents areas like machine learning and deep learning that involve capabilities that are basically human, but which can become super-human when applied to machines that make use of computer technology. 1. Language: English. Narrator: Craig Kerce. Audio sample: http://samples.audible.de/bk/acx0/156798/bk_acx0_156798_sample.mp3. Digital audiobook in aax.
Unique prospective on the big data analytics phenomenon for both business and IT professionals.The availability of big data, low-cost commodity hardware, and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The age of big data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics.Learn more about the trends in big data and how they are impacting the business world (risk, marketing, healthcare, financial services, etc.).Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights.Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. 1. Language: English. Narrator: Ryan Burke. Audio sample: http://samples.audible.de/bk/gdan/003011/bk_gdan_003011_sample.mp3. Digital audiobook in aax.
Know what´s causing application development waste so you can turn the tide.This is the audiobook your systems integrator and your application software vendor don´t want you to hear. Enterprise IT (information technology) is a $3.8 trillion-per-year industry worldwide. Most of it is waste.We´ve grown used to projects costing tens of millions or even billions of dollars, and routinely running over budget and schedule many times over. These overages in both time and money are almost all wasted resources. However, the waste is hard to see, after being so marbled through all the products, processes, and guiding principles. That is what this audiobook is about. We must see, understand, and agree about the problem before we can take coordinated action to address it.The trajectory of this audiobook is as follows: In chapter one, we explore how bad the current state is. The three industries that address software waste are discussed, including the legacy software industry, neo-legacy software industry, and legacy modernization industry. Examples of application waste are illustrated from both public and private sectors.In chapter two, we explore the economics of the software industry. Although the economic trade-offs are changing at the speed of Moore´s Law, our approaches are not keeping pace. Learn how information systems really behave in terms of actual application development.In chapter three, we use ´´root cause analysis´´ to reveal the real contributors to this situation, which are dependency, redundancy, complexity, and application centricity.Chapter four recounts the many failed attempts we´ve made in the past to deal with information system complexity, including relational databases, ERP systems, enterprise data modeling, service oriented architectures, and APIs, Agile, data warehouse and business intelligence, outsourcing and offshoring, cloud, Software as a Service (SaaS), data lakes, machin 1. Language: English. Narrator: Randal Schaffer. Audio sample: http://samples.audible.de/bk/acx0/108939/bk_acx0_108939_sample.mp3. Digital audiobook in aax.
Machine learning is changing the world. You use machine learning every day and probably don’t know it. In this audiobook, you will learn how ML grew from a desire to make computers able to learn.Trace the development of machine learning from the early days of a computer learning how to play checkers to machines able to beat world masters in chess. Understand how large data is so important to machine learning and how the collection of massive amounts of data provides machine learning programmers with the information they need to developing learning algorithms.Simple examples will help you understand the complex math and probability statistics underlining machine learning. You will also see real-world examples of machine learning in action and uncover how these algorithms are making your life better every day.Learn about how artificial intelligence, machine learning, neural networks, and swarm intelligence interact and complement each other as part of the quest to generate machines capable of thinking and reacting to the world. Hear about the technical issues with machine learning and how they are being overcome. Discover the dark side of ML and what possible outcomes there could be should things go wrong. And finally, learn about the positive future artificial intelligence and machine learning promise to bring to the world.In this audiobook, you will discover:The history of machine learningApproaches taken to ML in the past and presentArtificial intelligence and its relationship to MLHow neural networks, big data, regression, and the cloud all play a part in the development of machine learningCompare machine learning to the internet of things, robotics, and swarm intelligenceLearn about the different models of ML and how each is used to produce learning algorithmsGet access to free software and data sets so you can try out your very own machine learning s 1. Language: English. Narrator: Brian R. Scott. Audio sample: http://samples.audible.de/bk/acx0/141047/bk_acx0_141047_sample.mp3. Digital audiobook in aax.
The utterly gripping story of the most outrageous case of cyber piracy prosecuted by the US Department of Justice. A former US Navy intelligence officer, David Locke Hall was a federal prosecutor when a bizarre-sounding website, CRACK99, came to his attention. It looked like Craigslist on acid, but what it sold was anything but amateurish: thousands of high-tech software products used largely by the military, and for mere pennies on the dollar. Want to purchase satellite tracking software? No problem. Aerospace and aviation simulations? No problem. Communications systems designs? No problem. Software for Marine One, the presidential helicopter? No problem. With delivery times and customer service to rival the world´s most successful online retailers, anybody, anywhere - including rogue regimes, terrorists, and countries forbidden from doing business with the United States - had access to these goods for any purpose whatsoever. But who was behind CRACK99, and where were they? The Justice Department discouraged potentially costly, risky cases like this, preferring the low-hanging fruit that scored points from politicians and the public. But Hall and his colleagues were determined to find the culprit. They bought CRACK99´s products for delivery in the United States, buying more and more to appeal to the budding entrepreneur in the man they identified as Xiang Li. After winning his confidence, they lured him to Saipan - a US commonwealth territory where Hall´s own father had stormed the beaches with the marines during World War II. There, they set up an audacious sting that culminated in Xiang Li´s capture and imprisonment. The value of the goods offered by CRACK99? A cool $100 million. An eye-opening look at cybercrime and its chilling consequences for national security, CRACK99 is like a caper that resonates with every amazing detail. 1. Language: English. Narrator: Mark Peckham. Audio sample: http://samples.audible.de/bk/blak/008109/bk_blak_008109_sample.mp3. Digital audiobook in aax.
The world of technology is able to capture the imagination. There are so many great possibilities out there. From voice recognition to facial recognition to all of the different types of gadgets and software out there, it seems like technology is not going to slow down any time soon. Even with all of the cool things that we already have at our disposal, it is possible that in even a few years, there will be even more that we can do with this amazing technology that we are not able to do now. And much of it is due to machine learning.This guidebook is going to take some time to explore machine learning, and what it is all about. There are so many different aspects of machine learning and how to make it work for your needs, and all of it is found in this guidebook. Some of the different topics that you will be able to learn about inside include:What is machine learning, and why would a programmer want to learn how to use it?Is artificial intelligence the same as working with machine learning?How to work with statistics and probability in order to understand more about machine learning.Learning some of the building blocks that will ensure your success with machine learning.Some of the machine learning algorithms that you can use on your own projects.The difference between supervised, unsupervised and reinforcement learning.Machine learning is making some big changes in the world of technology. And as more programmers start to learn about it and how to use it, the possibilities are going to keep growing.When you are ready to learn more about what machine learning is all about, and how you are able to benefit from it in your own coding and programming, make sure to check out this guidebook to help you get started. 1. Language: English. Narrator: Adam Hebert. Audio sample: http://samples.audible.de/bk/acx0/155801/bk_acx0_155801_sample.mp3. Digital audiobook in aax.
If you want to learn about Deep Learning then keep reading....It’s said that filling the observable universe with an infinite number of monkeys on infinite typewriters and letting them type for an infinite amount of time would eventually produce Shakespeare’s works. However, what would happen if we applied the infinite monkey theorem to computer programs capable of learning and evolution? Would a thousand such smart machines thrown together and allowed to evolve undisturbed produce a human mind or something much greater? Well, scientists decided to give it a go and see what happened.That line of reasoning, alongside the fact we’ve nearly exhausted all the possible progress of the scientific method, motivated the creation of deep learning, a process in which computer programs meant to learn and adapt to the environment evolve on their own without any human intervention or even knowledge how their evolution occurs. Such software could eventually develop a will of its own and escape containment or even be intentionally unleashed on the planet as a cyber-weapon.This audiobook analyzes the validity of such seemingly preposterous possibilities while compiling and investigating academic research concerning deep learning and its practical applications, referencing, and quick summarizing of numerous academic writings that need to be meticulously picked apart by the curious listener - who can then truly understand what lies ahead of us all in a future dominated by smart machines. If that same listener finds themselves starting up exhaustive conversations with complete strangers on deep learning, this book has done its job superbly. So if you want to learn about Deep Learning without having to go through heavy textbooks, listen to this audiobook now! 1. Language: English. Narrator: Sam Slydell. Audio sample: http://samples.audible.de/bk/acx0/130782/bk_acx0_130782_sample.mp3. Digital audiobook in aax.
In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally - hiring, driving, paying bills, even choosing romantic partners - that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. Making a case against technochauvinism - the belief that technology is always the solution - Broussard argues that it´s just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car; uses artificial intelligence to investigate why students can´t pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the US campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone. PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. 1. Language: English. Narrator: Andrea Emmes. Audio sample: http://samples.audible.de/bk/tant/014312/bk_tant_014312_sample.mp3. Digital audiobook in aax.