Principles of Computer Hardware

The riveting investigative account of Nvidia, the tech company that has exploded in value for its artificial intelligence computing hardware, and Jensen Huang, Nvidia’s charismatic, uncompromising CEO In March 2024, following the revelation that ChatGPT had trained on Nvidia’s microchips, and twenty-one years after its founding in a Denny’s restaurant, Nvidia became the third most-valuable corporation on Earth. In The Thinking Machine, acclaimed journalist Stephen Witt recounts the unlikely story of how a manufacturer of video game components shocked Silicon Valley by establishing a monopoly on 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. Through unprecedented access to Huang, his friends, his investors, and his employees, Witt documents for the first time the company’s epic rise and its ic

Written specifically for dentists, White and Pharoah's Oral Radiology, Ninth Edition features more than 1,500 high-quality radiographic images and illustrations to demonstrate the foundational principles, core concepts, and techniques of oral and maxillofacial radiology. This bestselling book delivers state-of-the-art information about oral and maxillofacial radiology principles and techniques, and image interpretation. You will gain a solid foundation in radiation physics, radiation biology, and radiation safety and protection before learning the imaging techniques used in dentistry, including specialized techniques such as MRI and CT. You'll also learn how to recognize the key radiographic features of pathologic conditions and interpret radiographs accurately. This edition includes new chapters on Computed Tomography, MRI, Nuclear Medicine, and Ultrasound Imaging, as well as the latest information on quality assurance standards, 3D printing, computer aided treatments, and AI in oral

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo