Science Artificial Intelligence

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?

Ready to propel your business into the AI revolution? Curious about how to harness the power of AI, even without technical know-how? Launch into a world of limitless opportunities with ChatGPT, the AI tool that's revolutionizing the landscape of business.

There has been a lot of ink devoted to discussions of how robots will replace us and take our jobs. 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.

Ten years from today, the center of our digital lives will no longer be the smart phone, but device that looks like ordinary eyeglasses: except those glasses will have settings for virtual and augmented reality. What you really see and what is computer generated will be mixed so tightly together, that we won't really be able to tell what is real and what is illusion.

What can a quantum computer do? If we have a sequence of 30 zeroes and ones, it has about one billion of possible values. However, a classical computer can only be in one of these one billion states at the same time. A quantum computer can be in a quantum combination of all of those states, called superposition.

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The fruit of the long history of John Brockman's profound engagement with the most important scientific minds who have been thinking about AI - from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram - Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures are deeply concerned with the threat of AI, including the existential one, while others have a very different view.

Cointeligencia es el manual definitivo para trabajar, aprender y vivir en la nueva era de la inteligencia artificial. La inteligencia artificial generativa ha llegado. Y con ella la inevitable confusión que conlleva intentar saber cómo afectará a nuestra vida laboral y personal y, también, al futuro de la humanidad. Entre las voces de los adoradores de la IA y los catastrofistas, el profesor Ethan Mollick, uno de los teóricos más destacados sobre el tema, se centra en los aspectos prácticos de cómo esta herramienta puede transformar el mundo.

In the coming decades, artificial intelligence (AI) could revolutionize the way humans wage war. The military organizations that best innovate and adapt to this AI revolution will likely gain significant advantages over their rivals. To this end, great powers such as the United States, China, and Russia are already investing in novel sensing, reasoning, and learning technologies that will alter how militaries plan and fight. The resulting transformation could fundamentally change the character of war.

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?

The Internet and smartphone are just the latest in a 250-year-long cycle of disruption that has continuously changed the way we live, the way we work, and the way we interact. The coming Augmented Age, however, promises a level of disruption, behavioral shifts, and changes that are unparalleled. While consumers today are camping outside of an Apple store waiting to be one of the first to score a new Apple Watch or iPhone, the next generation of wearables will be able to predict if we're likely to have a heart attack and recommend a course of action.

Mastering ChatGPT: A Comprehensive Guide to Using and Engineering Language Models for Natural Language Processing is a comprehensive guide to the cutting-edge technology of ChatGPT, the latest generation of GPT models. This book covers everything from understanding the basics of GPT-3 and its capabilities to advanced techniques for prompt engineering, fine-tuning for specific tasks, and utilizing GPT-3's built-in controllers and advanced features.

As advances in AI spark fear and confusion, The Mind’s Mirror reminds us that in spite of the very real and pressing challenges, AI is a force with enormous potential to improve human life. Computer scientist and AI researcher Daniela Rus, along with science writer Gregory Mone, offers an expert perspective as a leader in the field who has witnessed many technological hype cycles. Rus and Mone illustrate the ways in which AI can help us become more productive, knowledgeable, creative, insightful, and even empathetic, as well as the many risks associated with misuse.

Adam's muscular dystrophy has stolen his mobility, his friends, and in less than a year, it will take his life. Virtual reality games are Adam's only escape from his wheelchair. In his alternate world, he can defeat anyone. Running, jumping, scoring touchdowns: Adam is always the hero. Then, an artificial intelligence program hacks into Adam's game. Created by Adam's computer-genius father, Sigma has gone rogue, threatening to kill Adam - and the entire human race. Their one chance to stop Sigma is using the technology Adam's dad developed to digitally preserve the mind of his son.

AI for Defense and Intelligence is a timely and compelling listen for graduate students interested in this rapidly-growing field, mid-career professionals looking to rebrand, and senior leaders in federal agencies who want to get smart on the latest tech. This approachable and focused book provides an overview of AI basics, a review of powerful machine learning models, and a discussion of applications across natural language processing (NLP), computer vision (CV), optimization, agent-based modeling and more.

What Tech Calls Thinking is a lively dismantling of the ideas that form the intellectual bedrock of Silicon Valley. Equally important to Silicon Valley’s world-altering innovation are the language and ideas it uses to explain and justify itself. And often, those fancy new ideas are simply old motifs playing dress-up in a hoodie. From the myth of dropping out to the war cry of “disruption”, Daub locates the Valley’s supposedly original, radical thinking in the ideas of Heidegger and Ayn Rand, the New Age Esalen Foundation in Big Sur, and more.

We are now on the doorstep of a fourth change brought about by two technologies: AI and robotics. The Fourth Age provides extraordinary background information on how we got to this point, and how - rather than what - we should think about the topics we’ll soon all be facing: machine consciousness, automation, employment, creative computers, radical life extension, artificial life, AI ethics, the future of warfare, superintelligence, and the implications of extreme prosperity.

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.

With the world of AI-based passive income rapidly expanding, it can be intimidating to know where to begin. That's where our expert guide comes in.

In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.