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Art in the Age of Machine Learning

Author: Sofian Audry

Publisher: MIT Press

Published: 2021-11-23

Total Pages: 215

ISBN-13: 0262367106

An examination of machine learning art and its practice in new media art and music. Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.

Mastering the Art of Artificial Intelligence

Author: Ethan Knight

Publisher: Independently Published

Published: 2023-09-04

Total Pages: 0

ISBN-13:

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In "Mastering the Art of Artificial Intelligence," embark on a journey through the fascinating world of AI. This book unlocks the secrets of AI's potential and its profound impact on our lives. Discover how AI is revolutionizing education with personalized learning and adaptive platforms. Explore its role in healthcare, where it aids in early disease detection and accelerates medical research. Dive into the financial world, where AI is reshaping markets through algorithmic trading and predictive modeling. The book also tackles ethical considerations, addressing issues like bias, transparency, and responsibility in AI development. It provides insights into emerging trends, from machine learning to natural language processing. "Mastering the Art of Artificial Intelligence" is a gateway to the future, offering inspiration to embrace the limitless possibilities AI offers. This concise guide leaves you with a clear understanding of AI's transformative power without delving into extensive detail.

Make Art with Artificial Intelligence

Author: Kevin Ashley

Publisher:

Published: 2021-11-09

Total Pages: 186

ISBN-13:

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MAKE ART with Artificial Intelligence A guide on practical artificial intelligence for drawing, art, illustration, and design - for everyone interested in creativity, art, and technology. The book has hundreds of original illustrations made or augmented with AI, 20+ online and video tutorials, 35+ Python notebooks, a GitHub repository and a blockchain art gallery. Written and illustrated by Kevin Ashley, a Microsoft developer hall of fame engineer, and an author of books and courses on artificial intelligence. Think of this book as v3.0 of your drawing class manual on how to sketch, draw faces, emotions, body poses, landscapes, apply light, color, style, emotion, expressions, perspective, generate animations, speech and more with artificial intelligence. All artwork from this book is created or augmented with machine learning and available in online NFT gallery, as well as tutorials and practical examples. The impact of this book in data science community inspired a group of Microsoft engineers and data scientists to implement a project they called Azure Picasso to streamline the path from a conceptual artwork, enhanced with artificial intelligence to publishing art in online galleries. FROM REVIEWS This is similar to the best lecture classes I had in college where the professor talked in class about the concepts and fundamentals but then gave us homework that would let us experiment and try out the concepts hands-on. As an artist who has 30 years of artwork looking to share, I love this book because it's approachable to the novice and useful to the expert. EDITIONS Beautiful Paperback, 8x10, color edition, more illustrations than the e-book, reads like an art book, beautiful print and high-quality paper. eBook - easy to read on phones, tablets and online readers, reflowing text, great for practical tutorials, as the book has many links to tutorials. CONTENTS Getting Started (History of Art and AI - Drawing - Sketching - Action and Poses - Landscapes and Scenery - Animation - Selling your Art) Creative Tools (Traditional tools - Digital tools - AI Tools - Python - Notebooks - Practice Studies). Neural Networks for Art (Neurons - Neural networks - Supervised learning - Unsupervised learning - Generative Adversarial Networks - Machine Learning Models and Training - Reinforcement learning - Practice Studies) Drawing and Sketching with AI (Sketching - Improving Sketches with AI - Childhood Drawings - Creativity - Inking - Shading and Light - Coloring - Practice Studies) Faces and Facial Expressions (How AI recognizes human faces - Facial features - Emotions - 3D Faces - Cartoons and Caricature - Anime and Manga - Generating Faces with AI) Pose and Actions with AI (Action with AI - Keypoints - Pose Estimation - Drawing Human Body - Human Pose Datasets - Perspective and Depth) Landscapes and Scenery (Landscapes - Generating Landscapes - AI Models and Methods for Landscapes - Practice Studies) Style and Content (Style and Style Transfer in Art and AI - Generative Adversarial Networks - Creative Style) Animation with AI (History of Animation - 12 Principles of Animation - Using AI for Animation - Animating Speech, Lips and Faces) How to Sell your Art with Blockchain and NFT (Why Blockchain - Smart Contracts and NFTs - Creating a Crypto Wallet - Creating your Gallery - Listing for Sale - Getting Paid) The book comes with online tutorials, including assets, resources and notebooks for artists, data scientists or engineers. With basic Python you can create stunning works of art, but the knowledge of Python is not required. Enjoy this unique and insightful book!

Mastering Machine Learning Algorithms

Author: Giuseppe Bonaccorso

Publisher: Packt Publishing Ltd

Published: 2018-05-25

Total Pages: 567

ISBN-13: 1788625900

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Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. You will also learn how to use Keras and TensorFlow to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need. What you will learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques Who this book is for This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.

The Next Master of the World

Author: Karim Massimov

Publisher:

Published: 2019-09-15

Total Pages: 284

ISBN-13: 9780578569291

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With the ever-increasing applications of Artificial Intelligence (AI), we are witnessing the birth of a new era, marked by the emergence of previously unknown industries and by breakthrough innovations in medicine, bioengineering, robotics, weaponry and space exploration. The author presents a step by step, detailed overview of the key milestones as well as concepts such as the so-called "Singularity" of the futurists while reviewing the AI technology already in our everyday lives. Next, he discusses the main features of the national AI strategies of a number of countries before concluding with an attempt to define what Kazakhstan's role might be in applying AI technologies, and indeed in participating in their further development, to participate in the new era of AI dominance. Karim Massimov (born June 15, 1965) is a respected Kazakh public figure. His more than 20-year political career in Kazakhstan includes positions such as Prime Minister, Minister of National Economy, and Minister of Transport. Before entering into public service, he worked in the private sector with two of Kazakhstan's most notable banking institutions. An active proponent of athletics and personal wellness, Karim Massimov is an Ironman triathlete and acts as Chairman of the Martial Arts Association of Kazakhstan. He is fluent in Kazakh, English, Chinese, Arabic, and Russian, and holds a Ph.D. in Economics from The Peoples' Friendship University of Russia.

Demystifying Artificial intelligence

Author: Prashant Kikani

Publisher: BPB Publications

Published: 2021-01-05

Total Pages: 170

ISBN-13: 9389898706

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Learn AI & Machine Learning from the first principles. KEY FEATURESÊÊ _ Explore how different industries are using AI and ML for diverse use-cases. _ Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner. _ Cutting-edge coverage on use of ML for business products and services. _ Explore how different companies are monetizing AI and ML technologies. _ Learn how you can start your own journey in the AI field from scratch. DESCRIPTION AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. WHAT YOU WILL LEARN Ê _ Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words. _ How you can leverage and integrate AI technologies in your business to differentiate your product in the market. _ The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs. _ How AI can help companies in launching new products, improving existing ones and automating mundane processes. _ Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users. WHO THIS BOOK IS FORÊÊ This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML. TABLE OF CONTENTSÊ 1. Introduction 2. Going deeper in ML concepts 3. Business perspective of AI 4. How to get started and pitfalls to avoid

The Science of Artificial Intelligence - Part 2 - Mastering the Qualitative Learning Surface

Author: Michael Sinyangwe

Publisher:

Published: 2019-03-20

Total Pages: 30

ISBN-13: 9781090993847

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This book offers a framework for state-of-the-art machine learning techniques, which have been applied to the domain of sensual learning, thereby allowing AI systems to perceive the short-, medium-, and long-term configurations of their local environments. The focus is on machine image object recognition algorithms.

The Future of Artificial Intelligence in Digital Marketing

Author: Maria Johnsen

Publisher: Maria Johnsen

Published: 2017-09-01

Total Pages: 348

ISBN-13: 1976001064

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Introducing "The Future of Artificial Intelligence in Digital Marketing: The Next Big Technological Break" – the ultimate guide for harnessing the power of AI to drive unprecedented growth in your digital marketing endeavors! Gone are the days when Artificial Intelligence (AI) belonged solely to the realm of science fiction. Today, it has become a game-changing reality that is reshaping the way I connect with my customers and achieve remarkable results. And the number one AI companion that accompanies me throughout my digital journey? None other than the Internet itself! In this groundbreaking book, I unveil the secrets behind the convergence of AI and digital marketing, empowering you to seize every opportunity and stay steps ahead of the competition. With cutting-edge insights and real-world examples, you'll discover how AI is revolutionizing search engine algorithms, transforming the way websites rank and perform. It's time for me to unlock the full potential of my online presence! "The Future of Artificial Intelligence in Digital Marketing" equips marketers, entrepreneurs, and social media enthusiasts like you with the knowledge you need to thrive in today's fast-paced digital landscape. Uncover proven strategies that will catapult your digital processes to new heights, propelling your brand to the forefront of the industry. But it doesn't stop there. This book explores the immense value of empathic machines in digital marketing, revealing how AI can tap into human emotions, understand consumer behavior, and create personalized experiences like never before. By humanizing my AI-powered marketing initiatives, I'll forge deep connections with my audience and cultivate unwavering brand loyalty. Don't let the future of digital marketing pass you by. "The Future of Artificial Intelligence in Digital Marketing" is your indispensable roadmap to navigating the AI revolution and achieving unparalleled success. Get ready to transform your digital marketing world, unlock unlimited possibilities, and leave your competitors in the dust. Are you ready to revolutionize your marketing strategies? Secure your copy of "The Future of Artificial Intelligence in Digital Marketing: The Next Big Technological Break" today and embark on a journey towards extraordinary growth and unstoppable success! It's time to take control of my digital destiny and embrace the power of AI to elevate my marketing game like never before.

Introducing Artificial Intelligence

Author: Henry Brighton

Publisher: Totem Books

Published: 2007

Total Pages: 0

ISBN-13: 9781840468410

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Can machines really think? Is the mind just a complicated computer program? Half a century of research into Artificial Intelligence has resulted in machines capable of beating the best human chess players and humanoid robots that can walk and interact with us. Yet exactly should we go about building a truly intelligent machine? Introducing Artificial Intelligence focuses on the major issues behind one of the hardest scientific problems ever undertaken.

The Myth of Artificial Intelligence

Author: Erik J. Larson

Publisher: Harvard University Press

Published: 2021-04-06

Total Pages: 321

ISBN-13: 0674983513

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“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.