Computer Science Technology

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. 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.

There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling innovation. The second is the dawn of the AI age, propelled by the advent of Generative AI, that has created the possibility to leverage the data of the world for the first time. The convergence of these two, with data as the common denominator, holds immense promise and the opportunities are boundless.

In late 2010, thousands of hacktivists joined a mass digital assault by Anonymous on the websites of VISA, MasterCard, and PayPal to protest their treatment of WikiLeaks. Splinter groups then infiltrated the networks of totalitarian governments in Libya and Tunisia, and an elite team of six people calling themselves LulzSec attacked the FBI, CIA, and Sony. They were flippant and taunting, grabbed headlines, and amassed more than a quarter of a million Twitter followers.

Artificial intelligence is everywhere—powering news feeds, curating search results, and invisibly steering our lives. We talk to it and, increasingly, it talks back. And sometimes, its answers seem eerily smart, until they don't.

A richly detailed and dramatic account of one of the greatest achievements of humankind. At 9:32 A.M. on July 16, 1969, the Apollo 11 rocket launched in the presence of more than a million spectators who had gathered to witness a truly historic event. It carried Neil Armstrong, Buzz Aldrin, and Mike Collins to the last frontier of human imagination: the moon.

People are now exposed to more information than ever before, provided both by technology and by increasing access to every level of education. These societal gains, however, have also helped fuel a surge in narcissistic and misguided intellectual egalitarianism that has crippled informed debates on any number of issues. Today, everyone knows everything and all voices demand to be taken with equal seriousness, and any claim to the contrary is dismissed as undemocratic elitism.

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.

Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.

Make Noise brings all the wisdom, advice, practical information, and big-picture thinking that any individual or business needs to make a successful podcast. He identifies core principles - such as create empathetically, i.e., think like the audience listens, and stay focused on what’s unique to you and what you have to say. He helps listeners come up with a “Ten Word Description” that will guide them throughout the creative process and then gets into how-tos - how to develop character, story, voice, and more.

This book now comes with a FREE VIDEO COURSE: ChatGPT for Beginners! Do you want an easy guide to understanding AI? Curious about the hype around generative AI? Looking for ways to use ChatGPT, MidJourney for business & personal gain? If you find yourself nodding in agreement, then this book is exactly for you! Amazon bestselling author & AI Consultant David M. Patel is going to show you everything you need to know become an expert user of artificial intelligence & generative AI.

Nothing is harder to do these days than nothing. But in a world where our value is determined by our 24/7 data productivity...doing nothing may be our most important form of resistance. So argues artist and critic Jenny Odell in this field guide to doing nothing (at least as capitalism defines it). Odell sees our attention as the most precious - and overdrawn - resource we have.

You can be incredibly productive with Azure without mastering every feature, function, and service. Learn Azure in a Month of Lunches, Second Edition gets you up and running quickly, teaching you the most important concepts and tasks in 21 practical bite-sized lessons. As you explore the examples, exercises, and labs, you'll pick up valuable skills immediately and take your first steps to Azure mastery! This fully revised new edition covers core changes to the Azure UI, new Azure features, Azure containers, and the upgraded Azure Kubernetes Service.

In a world of self-driving cars and big data, smart algorithms and Siri, we know that artificial intelligence is getting smarter every day. Though all these nifty devices and programs might make our lives easier, they're also well on their way to making "good" jobs obsolete. A computer winning Jeopardy might seem like a trivial, if impressive, feat, but the same technology is making paralegals redundant as it undertakes electronic discovery, and is soon to do the same for radiologists.

The internet of today is a far cry from its early promise of a decentralized, democratic network of innovation, connection, and freedom. In the past decade, it has fallen almost entirely under the control of a very small group of companies like Apple, Google, and Facebook. In Read Write Own, tech visionary Chris Dixon argues that the dream of an open network for fostering creativity and entrepreneurship doesn’t have to die and can, in fact, be saved with blockchain networks.

Are we living in a simulation? MIT computer scientist Rizwan Virk draws from research and concepts from computer science, artificial intelligence, video games, quantum physics, and ancient mystics to explain why we may be living inside a simulated reality like the Matrix. The Simulation Hypothesis is the definitive book on simulation theory and is now completely updated to reflect the latest developments in artificial intelligence and virtual reality.

Creating superior intelligence would be the biggest event in human history. Unfortunately, according to the world's pre-eminent AI expert, it could also be the last. In this groundbreaking book on the biggest question facing humanity, Stuart Russell explains why he has come to consider his own discipline an existential threat to his own species, and lays out how we can change course before it's too late. There is no one better placed to assess the promise and perils of the dominant technology of the future than Russell, who has spent decades at the forefront of AI research.

Navigate the ethical and legal complexities of our rapidly evolving technological landscape with this essential guidebook for professionals across all sectors. Technology is transforming our world in unprecedented ways, opening up new possibilities and challenges for professionals in various fields and domains. These challenges in technology confront us all with a variety of issues from technology ethics perspective. How can you make ethical and legal decisions that align with your values and responsibilities? How can you leverage technology to create value and impact in your work and society?

In the 1940s and '50s, when the newly minted Jet Propulsion Laboratory needed quick-thinking mathematicians to calculate velocities and plot trajectories, they didn't turn to male graduates. Rather, they recruited an elite group of young women who, with only pencil, paper, and mathematical prowess, transformed rocket design, helped bring about the first American satellites, and made the exploration of the solar system possible.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

From 2016 to 2020, Jacob Helberg led Google’s global internal product policy efforts to combat disinformation and foreign interference. During this time, he found himself in the midst of what can only be described as a quickly escalating two-front technology cold war between democracy and autocracy.