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Society of the mind : a cyberthriller / by Harry, Eric L.(CARDINAL)383382;
Subjects: Action and adventure fiction.; Psychological fiction.; Artificial intelligence; Neural computers;
Available copies: 1 / Total copies: 1
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Artificial life : the quest for a new creation / by Levy, Steven.(CARDINAL)728807;
Includes bibliographical references (pages 349-370) and index.
Subjects: Neural networks (Computer science);
Available copies: 1 / Total copies: 1
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Development of a tire/pavement contact-stress model based on artificial neural networks / by El-Gindy, Moustafa.(CARDINAL)286925; Lewis, Heidi.(CARDINAL)286926; United States.Federal Highway Administration.Offices of Research, Development, and Technology.(CARDINAL)286927; Turner-Fairbank Highway Research Center.(CARDINAL)286897;
Includes bibliographical references.
Subjects: Tires; Neural networks (Computer science);
Available copies: 1 / Total copies: 1
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Darwin among the machines : the evolution of global intelligence / by Dyson, George,1953-(CARDINAL)135228;
Includes bibliographical references (pages 229-261) and index.
Subjects: Artificial intelligence.; Artificial life.; Neural networks (Computer science);
Available copies: 1 / Total copies: 1
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On intelligence / by Hawkins, Jeff,1957-(CARDINAL)468557; Blakeslee, Sandra.(CARDINAL)751928;
Includes bibliographical references (pages 247-252) and index.
Subjects: Artificial intelligence.; Brain.; Intellect.; Neural networks (Computer science);
Available copies: 1 / Total copies: 1
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On intelligence / by Hawkins, Jeff,1957-(CARDINAL)468557; Blakeslee, Sandra.(CARDINAL)751928;
Includes bibliographical references (pages 247-252) and index.1. Artificial intelligence -- 2. Neural networks -- 3. The human brain -- 4. Memory -- 5. A new framework of intelligence -- 6. How the cortex works -- 7. Consciousness and creativity -- 8. The future of intelligence.The developer of the PalmPilot and creator of the Redwood Neuroscience Institute examines the real future of artificial intelligence, explaining why the way we build computers today won't result in intelligent machines. He shows, using accessible examples, that the brain's neocortex is a memory-driven system that uses our senses and our perception of time, space, and consciousness to construct a predictive model of the world in a way that's totally unlike even the most complex computer software.
Subjects: Brain.; Intellect.; Artificial intelligence.; Neural networks (Computer science);
Available copies: 1 / Total copies: 1
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How AI works : from sorcery to science / by Kneusel, Ronald T.,author.;
Includes bibliographical references and index."An accessible, straightforward guide that demystifies Artificial Intelligence for a general audience without the use of complex math or technical jargon. Covers the fundamentals, from classical models and neural networks to the large language models leading today's AI revolution"--Preface -- And away we go : an AI overview -- Why now? A history of AI -- Classical models : old-school machine learning -- Neural networks : brain-like AI -- Convolutional neural networks : AI learns to see -- Generative AI : AI gets creative -- Large language models : true AI at last? -- Musings : the implications of AI -- Glossary.
Subjects: Artificial intelligence; Neural networks (Computer science);
Available copies: 1 / Total copies: 2
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Neural networks / by Kulz, George Anthony,author.aut.(CARDINAL)793021;
Includes bibliographical references (p. 24) and index.A new supercomputer -- What is a neural network? -- Milestones in neural networks -- Examples of neural networks."Explores the subfield of artificial intelligence known as neural networks. This book describes how neural networks work, how they are changing the world today, and how they might change the world in the future. Vivid images and a helpful diagram will aid in comprehension. Additional features include a table of contents, sidebars, a phonetic glossary, fast facts, critical-thinking questions, an index, information about the author, and sources for further research"--Provided by the publisher.4.3-6.4-8
Subjects: Neural networks (Computer science); Artificial intelligence;
Available copies: 1 / Total copies: 1
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The ChatGPT revolution : get curious, get productive and get creative with AI / by McGeorge, Donna,author.;
Includes bibliographical references (pages 239-250).Part I. Get curious : What is ChatGPT? ; The pros and cons ; There's an AI for that ; It's all about the prompts -- Part II. Get productive : At work ; At home ; On the go -- Part III. Get creative : Generative tales ; The digital canvas ; Beyond the basics.Learn how to simplify your life with AI in this essential guide now fully updated and revised, with even more ideas to spark creativity and boost efficiency. The ChatGPT Revolution is the ultimate quick-start guide to unlocking the power of generative AI. We're on the edge of an AI revolution ... but what does that mean for you? It's time to get curious about how the latest tech can help you handle your everyday load, at work and at home! Whether you're overwhelmed by repetitive, time-consuming tasks or you're simply looking for a fresh injection of creativity, ChatGPT has got your back. With this essential handbook, you'll learn how quickly and easily apps like ChatGPT can turn your to-do list into a ta-da list. From emails and reports to planning your next meal or vacation, generative AI can help you simplify your daily tasks and responsibilities. The ChatGPT Revolution shows you exactly how to use this innovative tech to save on time and stress. Sharing practical tips and fun ideas, acclaimed productivity expert Donna McGeorge unpacks everything you need to know.
Subjects: Informational works.; ChatGPT.; Natural language generation (Computer science); Artificial intelligence.; Natural language generation (Computer science); Neural networks (Computer science); Computer logic.;
Available copies: 1 / Total copies: 4
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Deep learning with Python / by Chollet, François,author.(CARDINAL)785614;
Includes bibliographical references and index.Part 1: Fundamentals of deep learning. What is deep learning? -- Before we begin: the mathematical building blocks of neural networks -- Getting started with neural networks -- Fundamentals of machine learning -- Part 2: Deep learning in practice. Deep learning for computer vision -- Deep learning for text and sequences -- Advanced deep-learning best practices -- Generative deep learning.Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. --
Subjects: Python (Computer program language); Machine learning.; Neural networks (Computer science);
Available copies: 1 / Total copies: 1
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Results 1 to 10 of 38 |