Artificial Intelligence

Get ready to revolutionize your productivity and take charge of your life with the power of AI! Discover how this rapidly growing technology can give you brilliant shortcuts to make everyday tasks easier and save you time and energy.

In practical terms, making AI your ally and guide depends on the art of the prompt, the questions a user poses to a chatbot. As Chopra shows in detail, by asking the right questions, you can bring AI into your inner world, which is where personal growth happens. Chopra provides a personal assessment for you to better understand yourself and exercises to help you expand your awareness in any part of your life.

In Democratizing Artificial Intelligence to Benefit Everyone, Dr. Jacques Ludik takes us on a holistic sense-making journey to synthesize and better our understanding of AI, its applications, its benefits, its risks, its limitations, its progress, and its likely future paths. As a founder of multiple AI companies with three decades of experience in AI and its world-wide applications, Dr. Ludik's audiobook offers specific solutions that address designing for social good, building human-compatible AI, and so many more ideas for reshaping civilization for beneficial outcomes!

Imagine a classroom where AI personalizes learning, reduces your workload, and enhances engagement—all while respecting ethical standards. This essential guide, AI for Educators Made Easy, simplifies complex AI concepts with actionable steps and real-world examples tailored for educators. It ensures AI remains a supportive tool, preserving the human element of teaching.

Three of the world’s most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society - and what this technology means for us all.

The Bobiverse is a different place in the aftermath of the Starfleet War, and the days of the Bobs gathering in one big happy moot are far behind. There’s anti-Bob sentiment on multiple planets, the Skippies playing with an AI time bomb, and multiple Bobs just wanting to get away from it all. But it all pales compared to what Icarus and Daedalus discover on their 26,000-year journey to the center of the galaxy.

Garry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology. It was the dawn of a new era in artificial intelligence: A machine capable of beating the reigning human champion at this most cerebral game. That moment was more than a century in the making, and in this breakthrough audiobook, Kasparov reveals his astonishing side of the story for the first time. He describes how it felt to strategize against an implacable, untiring opponent with the whole world watching.

After billions of dollars and 50 years of effort, researchers are finally cracking the code on artificial intelligence. As society stands on the cusp of unprecedented change, Jerry Kaplan unpacks the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure.

Just months ago, millions of people were stunned by ChatGPT's amazing abilities–and its bizarre hallucinations. But that was 2022. GPT-4 is now here, with smarter, more accurate, and deeper technical knowledge. GPT-4 and its competitors and followers are on the verge of transforming medicine. But with lives on the line, you need to understand these technologies–stat.

In June of 2024, thirty-one years after its founding in a Denny’s restaurant, Nvidia became the most valuable corporation on Earth. The Thinking Machine is the astonishing story of how a designer of video game equipment conquered the market for AI hardware, and in the process re-invented the computer. Essential to Nvidia’s meteoric success is its visionary CEO Jensen Huang, who more than a decade ago, on the basis of a few promising scientific results, bet his entire company on AI.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

Artificial intelligence (AI) is changing our country and our world. From how citizens navigate their daily lives to how researchers drive discoveries in the lab to how manufacturers build products, AI is giving rise to new capabilities. New AI and AI-driven discoveries and capabilities hold the potential to drive practical solutions to address critical global challenges such as food production, climate change, poverty, and cancer. We have only started to scratch the surface of what is possible and cannot afford to miss out on seizing the opportunity for leveraging AI to serve the public good.

This book offers an easy-to-follow overview of the capabilities of generative AI and how to incorporate them into any job. It's perfect for anyone who wants to add AI know-how into their work.

Artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past.

It's been centuries since the robots of Panga gained self-awareness and laid down their tools; centuries since they wandered, en masse, into the wilderness, never to be seen again; centuries since they faded into myth and urban legend. One day, the life of a tea monk is upended by the arrival of a robot, there to honor the old promise of checking in. The robot cannot go back until the question of "what do people need?" is answered. But the answer to that question depends on who you ask, and how.

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

Nearly 100 years before the events of Orson Scott Card's bestselling novel Ender's Game, humans were just beginning to step off Earth and out into the Solar System. A thin web of ships in both asteroid belts; a few stations; a corporate settlement on Luna. No one had seen any sign of other space-faring races; everyone expected that First Contact, if it came, would happen in the future, in the empty reaches between the stars. Then a young navigator on a distant mining ship saw something moving too fast, heading directly for our sun.

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.

A team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow.