LibGuides: Artificial Intelligence and Academic Research: Learn More About AI

A Brief Overview on AI

Credo Reference Basics of AI
"The study of language often leads to questions over what defines intelligence, as exhibited via language competence and performance. Artificial intelligence (AI) provides us with precious opportunities to apply what we know about language toward useful and often valuable purposes, whether to serve as a proof of concept, to innovate, or to fulfil a specific need. "

Defining Artificial Intelligence

"It is the science engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable" (Taken from John McCarthy's "What is Artificial Intelligence" Page 2).

Generative AI "can not only create text outputs, but also images, music and even computer code. Generative AI models are trained on a set of data and learn the underlying patterns to generate new data that mirrors the training set." (Taken from "The Difference Between Generative AI and Traditional AI" by Bernard Marr.

Learn More About AI

AIPRM’s Ultimate Generative AI Glossary: an extensive list of terms and definitions relating to artificial intelligence.

Generative AI Tools: A Petting Zoo: an extensive list of AI tools, support for learning how to use tools, and how they can be applied in a classroom.

Beyond ChatGPT: 14 Mind-Blowing AI Tools Everyone Should Be Trying Out Now: a list of AI tools beyond ChatGPT.

Hands-On Artificial Intelligence for Beginners by Smith, Patrick D.
ISBN: 9781788992268
Publication Date: October 31, 2018
Hands-On Artificial Intelligence for Beginners will teach you what Artificial Intelligence is and how to design and build intelligent applications. This book will teach you to harness packages such as TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks (ANNs) have enabled more intelligent AI. You'll explore feedforward, recurrent, convolutional, and generative neural networks (FFNNs, RNNs, CNNs, and GNNs), as well as reinforcement learning methods.
Artificial Intelligence by Melanie Mitchell
Call Number: General Stacks | Q335 .M58 2019
ISBN: 9780374257835
Publication Date: 2019-10-15
Melanie Mitchell separates science fact from science fiction in this sweeping examination of the The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI's turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent--really--are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us?
The Digital Mindset by Paul Leonardi; Tsedal Neeley
ISBN: 9781647820107
Publication Date: 2022-05-10
The pressure to "be digital" has never been greater, but you can meet the challenge. The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive in a world driven by data and powered by algorithms, we must learn to see, think, and act in new ways. We need to develop a digital mindset. But what does that mean? Some fear it means that we all need to become technologists who master the intricacies of coding, algorithms, AI, machine learning, robotics, and who-knows-what's-next. That's not the case. You can develop a digital mindset, and this book shows you how.
Artificial Intelligence: Models, Algorithms and Applications by Terje Solsvik Kristensen (Editor)
ISBN: 9781681088266
Publication Date: 2021-05-31
Artificial Intelligence: Models, Algorithms and Applications presents focused information about applications of artificial intelligence (AI) in different areas to solve complex problems. The book presents 8 chapters that demonstrate AI based systems for vessel tracking, mental health assessment, radiology, instrumentation, business intelligence, education and criminology. The book concludes with a chapter on mathematical models of neural networks.The book serves as an introductory book about AI applications at undergraduate and graduate levels and as a reference for industry professionals working with AI based systems.
The Promise of Artificial Intelligence by Brian Cantwell Smith
ISBN: 9780262355209
Publication Date: 2019-09-13
An argument that--despite dramatic advances in the field--artificial intelligence is nowhere near developing systems that are genuinely intelligent. In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities.