Showing titles in Computer Science

The world's most infamous hacker offers an insider's view of the low-tech threats to high-tech security. Kevin Mitnick's exploits as a cyber-desperado and fugitive form one of the most exhaustive FBI manhunts in history and have spawned dozens of articles, books, films, and documentaries. Since his release from federal prison, in 1998, Mitnick has turned his life around and established himself as one of the most sought-after computer security experts worldwide.

Automate, delegate, and scale your business workflows in under a week—even with zero tech background. Tired of AI tools that need devs, big budgets, or months to implement? Need fast, no-code automations that work with your current stack? You’re not alone. Most founders and operators want real AI leverage—now, not later. Agentic AI for Business is your rapid-start guide to building powerful, real-world automations—no fluff, no code, no delays.

The Genius Makers tells the story of AI from pioneering days to current achievements to future potential. At the same time it takes the lid off what has effectively become an arms race between Google, Microsoft, Facebook and OpenAI, in which Google may be the clear frontrunner at present, but Facebook has shown itself to be both nimble and innovative, and OpenAI, the company recently founded by Elon Musk and Sam Altman, has made itself the confident upstart of the pack. 

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules.

A NEW YORK TIMES BESTSELLER “One of the most important books in years.” - #1 NYT Bestselling Author Peter Schweizer “Code Red is a must-read.” – Sen. Marsha Blackburn, TIME’s 100 Most Influential People in AI “Illuminating…alarming…essential.” –Michael Shellenberger...

If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

The productivity revolution is here, and most people are missing it. While others treat ChatGPT-5 like a fancy search engine, smart entrepreneurs and creators are using it to reclaim 15-20 hours per week through systematic automation. This isn't about getting better answers—it's about delegating entire workflows to an AI collaborator that never sleeps, never forgets, and gets smarter every day.

In AI and the Octopus Organization: Building the Superintelligent Firm, leading futurist Jonathan Brill and innovation expert Stephen Wunker unveil a groundbreaking vision for how organizations must evolve to survive and thrive in the age of artificial intelligence. Drawing inspiration from the octopus, an ancient creature noted for both rapid adaptation and distributed intelligence, the authors show that only businesses that rewire their structure, leadership, and decision-making can unlock AI's full potential.

Do multiple versions of ourselves exist in parallel universes living out their lives in different timelines? In this follow-up to his best seller, The Simulation Hypothesis, MIT computer scientist and Silicon Valley game pioneer Rizwan Virk explores these topics from a new lens: that of simulation theory. Bringing his unique trademark style of combining video games, computer science, quantum physics, and computing with lots of philosophy and science fiction, Virk gives us a new way to think about not just our universe, but all possible timelines in the multiverse!

Thoroughly updated for the latest release of the Certified Information Systems Security Professional exam, this comprehensive resource covers all objectives in the 2021 CISSP exam developed by the International Information Systems Security Certification Consortium (ISC)2®. CISSP All-in-One Exam Guide, Ninth Edition features learning objectives at the beginning of each chapter, exam tips, practice questions, and in-depth explanations.

Artificial Intelligence for Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.

Unlock the Power of Generative AI: Master Creativity, Deep Learning, and Advanced AI in One Essential Collection! Are you ready to revolutionize your creativity, career, and understanding of artificial intelligence? Whether you're an absolute beginner or looking to sharpen your AI expertise, this book collection takes you on a transformative journey through the world of Generative AI, Deep Learning, and Neural Networks. Discover How AI Can Save You Time, Enhance Creativity, and Propel Your Career Forward!

Brought to you by Penguin. In today's technological society, with an unprecedented amount of information at our fingertips, learning plays a more central role than ever. In How We Learn, Stanislas Dehaene decodes its biological mechanisms, delving into the neuronal, synaptic, and molecular...

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

When we avoid taking a decision, what happens to it? In The Unaccountability Machine, Dan Davies examines why markets, institutions and even governments systematically generate outcomes that everyone involved claims not to want. He casts new light on the writing of Stafford Beer, a legendary economist who argued in the 1950s that we should regard organisations as artificial intelligences, capable of taking decisions that are distinct from the intentions of their members.

What if human cloning isn’t a modern discovery, but an ancient technology rediscovered? Long before modern science, civilisations like the Sumerians and the Anunnaki may have practiced genetic manipulation, creating humanity as engineered slaves for labour and obedience, not children of gods. Myths like Adam and Eve and divine bloodlines could be encoded records of this lost history. Occultists like John Dee weren’t just dabbling in magic, they sought to create life, continuing a hidden tradition of cloning.

Whether we like it or not, the AI revolution is coming to education. In Brave New Words, Salman Khan, the visionary behind Khan Academy, explores how artificial intelligence and GPT technology will transform learning, offering a roadmap for teachers, parents, and students to navigate this exciting (and sometimes intimidating) new world. An insider in the world of education technology, Khan explains the ins and outs of these cutting-edge tools and how they will forever change the way we learn and teach.

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

Orwell, Huxley, and Bradbury all saw failings in the way society was evolving. We read their books, watched the movies, and considered them to be great entertainment, but we are now at a crucial point where signs from their dystopian worlds are already visible in the real world, and we appear to be happily heading towards something darker. A compelling and unsettling read, both passionate and well-informed, that explores the challenges facing society, business, and education as we adapt to an AI-driven world.