Learning Technology

On May 10, 1998, biologist Craig Venter, director of the Institute for Genomic Research, announced that he was forming a private company that within three years would unravel the complete genetic code of human life, seven years before the projected finish of the U.S. government's Human Genome Project. Venter hoped that by decoding the genome ahead of schedule, he would speed up the pace of biomedical research and save the lives of thousands of people. He also hoped to become very famous and very rich.

The United States keeps its gold safe at Fort Knox. How is this done? There are fences, locks, guards, and more. Learn more about this high-security place!

Machine learning is a new trending field these days and is an application of artificial intelligence. The main aim of machine learning is to create intelligent machines that can think and work like human beings. Python is a high-level scripting language. It is easy to learn and robust than other words because of its dynamic nature and simple syntax which allows small lines of code. Included indentation and object-oriented, functional programming make it simple.

In the 1920s cotton buyer Earle Dickson worked for Johnson & Johnson and had a klutzy wife who often cut herself. The son of a doctor, Earle set out to create an easier way for her to bandage her injuries. Band-Aids were born, but Earle's bosses at the pharmaceutical giant weren't convinced, and it wasn't until the Boy Scouts of America tested Earle's prototype that this ubiquitous household staple was made available to the public.

Unleash the power of Generative AI in less than 30 days. Turn tech curiosity into a practical skillset even if you're a beginner. Don't let your perception of what's difficult hold you back. This book is designed specifically with simplicity in mind, tailored for those who may be stepping into the world of AI for the first time. It is packed with interactive, up-to-date exercises and real-world applications, that will guide you every step of the way, ensuring that you stay connected to the most relevant and useful topics in AI.

This audiobook offers an introduction to the five senses and the organs that perform the functions of sight, hearing, smell, taste, and touch.

An introduction to the parts of the heart and circulatory system and how they function.

An introduction to the stomach and other parts of the digestive system and how they function.

We can learn many things from models. Scientists use models to test their ideas. Listeners will learn about the importance of making predictions, testing ideas, collecting data, and more.

Everybody has secrets, and former US presidents are no exception. Discover which stories about America’s past leaders are true and which ones are just tall tales.

Airplanes that soared through ancient skies? An underwater city? Could these unbelievable things ever have existed? Learn about the top 10 ancient mysteries and investigate for yourself.

When gladiators fought in combat, there was usually only one winner. The victor may not have realized it, but he owed his success to science. Learn how science helped gladiators find victory in the arena.

What exactly is a primary source? How does it compare to other types of sources? Emerging listeners need to know the difference. Listeners will also be introduced to the concept of plagiarism, how to choose sources for their writing and reports, checking source dates and accuracy, and more.

What does it take to become an astronaut? How do astronauts train to be in outer space? Listeners will learn all about what it's like to become an astronaut.

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

Three manuscripts in one book! You do not want to miss out on this incredible offer. What you'll learn: fundamentals of neural networks; algorithms; transactional control commands; understanding cursors, triggers, and errors; and much, much more.

Grokking Artificial Intelligence Algorithms is a fully illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you'll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you'll use each algorithm in practice with creative coding exercises.

Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data. With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap.

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.

PLEASE NOTE: This is a summary and analysis of the book and not the original book. World-renowned expert on AI and China Kai-Fu Lee presents a broad look at the current state of AI, China's dramatic progress in the last five years, and the massive social disruption that will occur as AI replaces half the jobs in the world.