LDR 12282nam a2200529 i 4500 001 9938553307626 005 20250207182139.0 006 m o d | 007 cr#cnu|||||||| 008 220713s2022 njua o 001 0 eng d 020 |a9781119796787 020 |a1119796784 020 |a9781119796770 020 |a1119796776 035 |a(CKB)4950000000283535 035 |a(MiAaPQ)EBC6789353 035 |a(Au-PeEL)EBL6789353 035 |a(OCoLC)1281955968 035 |a(OCoLC)1289797178 035 |a(OCoLC-P)1289797178 035 |a(CaSebORM)9781119796763 035 |a(EXLCZ)994950000000283535 040 |aMiAaPQ|beng|erda|epn|cMiAaPQ|dMiAaPQ 050 4 |aQ335|b.M845 2022 082 0 |a006.3|223 100 1 |aMueller, John,|d1958-|eauthor. 245 10 |aArtificial intelligence /|cby John Paul Mueller and Luca Massaron. 250 |aSecond edition. 264 1 |aHoboken, New Jersey :|bFor Dummies,|c[2022] 264 4 |c©2022 300 |a1 online resource (371 pages) 336 |atext|btxt|2rdacontent 337 |acomputer|bc|2rdamedia 338 |aonline resource|bcr|2rdacarrier 505 0 |aIntro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Introducing AI -- Chapter 1 Introducing AI -- Defining the Term AI -- Discerning intelligence -- Discovering four ways to define AI -- Understanding the History of AI -- Starting with symbolic logic at Dartmouth -- Continuing with expert systems -- Overcoming the AI winters -- Considering AI Uses -- Avoiding AI Hype and Overestimation -- Defining the five tribes and the master algorithm -- Considering sources of hype -- Understanding user overestimation -- Connecting AI to the Underlying Computer -- Chapter 2 Defining the Role of Data -- Finding Data Ubiquitous in This Age -- Understanding Moore's implications -- Using data everywhere -- Putting algorithms into action -- Using Data Successfully -- Considering the data sources -- Obtaining reliable data -- Making human input more reliable -- Using automated data collection -- Collecting personal data ethically -- Manicuring the Data -- Dealing with missing data -- Considering data misalignments -- Separating useful data from other data -- Considering the Five Mistruths in Data -- Commission -- Omission -- Perspective -- Bias -- Frame of reference -- Defining the Limits of Data Acquisition -- Considering Data Security Issues -- Understanding purposefully biased data -- Dealing with data-source corruption -- Cancelling botnets with sinkholing -- Chapter 3 Considering the Use of Algorithms -- Understanding the Role of Algorithms -- Understanding what algorithm means -- Planning and branching: Trees and nodes -- Extending the tree using graph nodes -- Traversing the graph -- Playing adversarial games -- Using local search and heuristics -- Discovering the Learning Machine -- Leveraging expert systems. 505 8 |aIntroducing machine learning -- Touching new heights -- Chapter 4 Pioneering Specialized Hardware -- Relying on Standard Hardware -- Understanding the standard hardware -- Describing standard hardware deficiencies -- Relying on new computational techniques -- Using GPUs -- Considering the von Neumann bottleneck -- Defining the GPU -- Considering why GPUs work well -- Working with Deep Learning Processors (DLPs) -- Defining the DLP -- Using the mobile Neural Processing Unit (NPU) -- Accessing the cloud-based Tenser Processing Unit (TPU) -- Creating a Specialized Processing Environment -- Increasing Hardware Capabilities -- Adding Specialized Sensors -- Devising Methods to Interact with the Environment -- Part 2 Considering the Uses of AI in Society -- Chapter 5 Seeing AI Uses in Computer Applications -- Introducing Common Application Types -- Using AI in typical applications -- Realizing AI's wide range of fields -- Considering the Chinese Room argument -- Seeing How AI Makes Applications Friendlier -- Performing Corrections Automatically -- Considering the kinds of corrections -- Seeing the benefits of automatic corrections -- Understanding why automated corrections don't work -- Making Suggestions -- Getting suggestions based on past actions -- Getting suggestions based on groups -- Obtaining the wrong suggestions -- Considering AI-based Errors -- Chapter 6 Automating Common Processes -- Developing Solutions for Boredom -- Making tasks more interesting -- Helping humans work more efficiently -- Understanding how AI reduces boredom -- Considering how AI can't reduce boredom -- Working in Industrial Settings -- Developing various levels of automation -- Using more than just robots -- Relying on automation alone -- Creating a Safe Environment -- Considering the role of boredom in accidents -- Using AI to avoid safety issues. 505 8 |aUnderstanding that AI can't eliminate safety issues -- Chapter 7 Using AI to Address Medical Needs -- Implementing Portable Patient Monitoring -- Wearing helpful monitors -- Relying on critical wearable monitors -- Using movable monitors -- Making Humans More Capable -- Using games for therapy -- Considering the use of exoskeletons -- Addressing a Range of Physical Abilities -- Considering the software-based solutions -- Relying on hardware augmentation -- Seeing AI in prosthetics -- Completing Analysis in New Ways -- Relying on Telepresence -- Defining telepresence -- Considering examples of telepresence -- Understanding telepresence limitations -- Devising New Surgical Techniques -- Making surgical suggestions -- Assisting a surgeon -- Replacing the surgeon with monitoring -- Performing Tasks Using Automation -- Working with medical records -- Predicting the future -- Making procedures safer -- Creating better medications -- Combining Robots and Medical Professionals -- Chapter 8 Relying on AI to Improve Human Interaction -- Developing New Ways to Communicate -- Creating new alphabets -- Working with emoji and other meaningful graphics -- Automating language translation -- Incorporating body language -- Exchanging Ideas -- Creating connections -- Augmenting communication -- Defining trends -- Using Multimedia -- Embellishing Human Sensory Perception -- Shifting data spectrum -- Augmenting human senses -- Part 3 Working with Software-Based AI Applications -- Chapter 9 Performing Data Analysis for AI -- Defining Data Analysis -- Understanding why analysis is important -- Reconsidering the value of data -- Defining Machine Learning -- Understanding how machine learning works -- Understanding the benefits of machine learning -- Being useful -- being mundane -- Specifying the limits of machine learning -- Considering How to Learn from Data. 505 8 |aSupervised learning -- Unsupervised learning -- Reinforcement learning -- Chapter 10 Employing Machine Learning in AI -- Taking Many Different Roads to Learning -- Discovering five main approaches to AI learning -- Delving into the three most promising AI learning approaches -- Awaiting the next breakthrough -- Exploring the Truth in Probabilities -- Determining what probabilities can do -- Considering prior knowledge -- Envisioning the world as a graph -- Growing Trees that Can Classify -- Predicting outcomes by splitting data -- Making decisions based on trees -- Pruning overgrown trees -- Chapter 11 Improving AI with Deep Learning -- Shaping Neural Networks Similar to the Human Brain -- Introducing the neuron -- Starting with the miraculous perceptron -- Mimicking the Learning Brain -- Considering simple neural networks -- Figuring out the secret is in the weights -- Understanding the role of backpropagation -- Introducing Deep Learning -- Explaining the differences between deep learning and other forms of neural networks -- Finding even smarter solutions -- Detecting Edges and Shapes from Images -- Starting with character recognition -- Explaining how convolutions work -- Advancing using image challenges -- Learning to Imitate Art and Life -- Memorizing sequences that matter -- Discovering the magic of AI conversations -- Going for the state of the pretrained art -- Making one AI compete against another AI -- Pondering reinforcement learning -- Part 4 Working with AI in Hardware Applications -- Chapter 12 Developing Robots -- Defining Robot Roles -- Overcoming the sci-fi view of robots -- Being humanoid can be hard -- Working with robots -- Assembling a Basic Robot -- Considering the components -- Sensing the world -- Controlling a robot -- Chapter 13 Flying with Drones -- Acknowledging the State of the Art -- Flying unmanned to missions. 505 8 |aMeeting the quadcopter -- Defining Uses for Drones -- Seeing drones in nonmilitary roles -- Powering up drones using AI -- Understanding regulatory issues -- Chapter 14 Utilizing the AI-Driven Car -- Getting a Short History -- Understanding the Future of Mobility -- Climbing the six levels of autonomy -- Rethinking the role of cars in our lives -- Taking a step back from unmet expectations -- Getting into a Self-Driving Car -- Putting all the tech together -- Letting AI into the scene -- Understanding that it's not just AI -- Overcoming Uncertainty of Perceptions -- Introducing the car's senses -- Putting together what you perceive -- Part 5 Considering the Future of AI -- Chapter 15 Understanding the Nonstarter Application -- Using AI Where It Won't Work -- Defining the limits of AI -- Applying AI incorrectly -- Entering a world of unrealistic expectations -- Considering the Effects of AI Winters -- Understanding the AI winter -- Defining the causes of the AI winter -- Rebuilding expectations with new goals -- Creating Solutions in Search of a Problem -- Defining a gizmo -- Avoiding the infomercial -- Understanding when humans do it better -- Looking for the simple solution -- Chapter 16 Seeing AI in Space -- Observing the Universe -- Seeing clearly for the first time -- Finding new places to go -- Considering the evolution of the universe -- Creating new scientific principles -- Performing Space Mining -- Harvesting water -- Obtaining rare earths and other metals -- Finding new elements -- Enhancing communication -- Exploring New Places -- Starting with the probe -- Relying on robotic missions -- Adding the human element -- Building Structures in Space -- Taking your first space vacation -- Performing scientific investigation -- Industrializing space -- Using space for storage -- Chapter 17 Engaging in Human Endeavors. 505 8 |aKeeping Human Beings Popular. 588 |aDescription based on print version record. 500 |aIncludes index. 520 |aForget far-away dreams of the future. Artificial intelligence is here now! Every time you use a smart device or some sort of slick technology--be it a smartwatch, smart speaker, security alarm, or even customer service chat box--you're engaging with artificial intelligence (AI). If you're curious about how AI is developed--or question whether AI is real--Artificial Intelligence For Dummies holds the answers you're looking for. Starting with a basic definition of AI and explanations of data use, algorithms, special hardware, and more, this reference simplifies this complex topic for anyone who wants to understand what operates the devices we can't live without. This book will help you: Separate the reality of artificial intelligence from the hype Know what artificial intelligence can accomplish and what its limits are Understand how AI speeds up data gathering and analysis to help you make informed decisions more quickly See how AI is being used in hardware applications like drones, robots, and vehicles Know where AI could be used in space, medicine, and communication fields sooner than you think Almost 80 percent of the devices you interact with every day depend on some sort of AI. And although you don't need to understand AI to operate your smart speaker or interact with a bot, you'll feel a little smarter--dare we say more intelligent--when you know what's going on behind the scenes. So don't wait. Pick up this popular guide to unlock the secrets of AI today!. 650 0 |aArtificial intelligence. 700 1 |aMassaron, Luca,|eauthor. 776 08 |z9781119796763 776 08 |z1119796768