Machine Learning Applications In Software Engineering

This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic al

This book is designed to help software engineers and project managers understand and solve problems involved in developing complex software systems. It provides guidelines and tools for managing the t

This is the fourth edition of an established textbook of chemical thermodynamics used by university and technical college students of chemistry and chemical engineering. The text covers the same ground as previous editions, presenting the general theory of chemical equilibrium, including its statistical development, and illustrating its many applications in the laboratory and industry. This edition has been extensively revised in the light of recent contributions to the literature. Many new references have been added; the re-writing of certain passages, especially of those concerning the statistical interpretation of entropy and the present understanding of order-disorder transitions, also reflects changes of emphasis.

Confessions of an AI Brain, Second Edition invites readers to not only to understand how AI works, but to imagine, question, and actively shape the kind of AI-enabled future they want to build. By framing AI as a narrator, the book ventures inside the mind of MIRANDA, a fictional yet technically grounded AI brain that narrates its own coming-of-age in a world saturated with algorithms, data, and digital infrastructure. Blending clear explanations with an engaging first-person voice, the book demystifies how modern AI systems are built, trained, deployed, and governed--without assuming any mathematical or programming background. Along the way, MIRANDA reflects on topics such as learning from data, bias and fairness, neurosymbolic reasoning, agentic AI, foundation models, digital twins, and the infrastructure that makes intelligent services possible.Rather than treating AI as a black box or distant threat, the narrative frames it as a partner in a shared human-machine ecosystem, explorin

This book delves into the design and implementation of IoT applications, showing how data analytics, machine learning, and AI enhance IoT efficiency and innovation. With a focus on automation, decision-making, and connectivity, it tackles challenges in various domains including healthcare, agriculture, and industrial automation.

The Pulitzer Prize–winning author of Trust turns to the future with a novel that examines the place of technology in the American imaginationCenturies from now, at the dawn of a historical epoch filled with both uncertainty and promise, an orphan is adrift in a city on the brink of a great transformation. The state has been dismantled, and humans are reinventing social bonds and learning new ways to coexist with nature. Following a childhood defined by loss, survival, and found family, the orphan grows up to become a “pincher,” someone who steals electricity from the grid to sell it on the black market. It’s a high-risk life, one that brings her into a rich downtown art and music scene where she powers underground concerts. It also leads her to a colossal scientific invention that could be either a contraption devised by a deranged mind or a machine that will change the very fabric of reality.After rewriting America’s past with his two previous novels, Hernan Diaz now gives us a glimps

How do unconscious motivational needs (i.e., implicit motives) influence physiology, cognition, emotion, and behavior? What are the fundamental motives and how do they operate and interact with incentives? How can motives be measured and when is a motive measure valid? How are motives shaped by biology and culture, how do they influence political and societal processes? How can we use knowledge about implicit motives in clinical, business, and sport contexts to help people achieve their goals? These are some of the topics this comprehensive book presents in 27 clearly written chapters, contributed by leading authorities in the field. It represents a state-of-the-art reference for all researchers and practitioners interested in human motivation. The first section addresses fundamental questions about the nature of motivational incentives, the role of learning in motivation, and paradigms for the experimental study of motivation. It also portrays how motives, power, affiliation, achievem

Educator and neuroscientist Dr. Jared Cooney Horvath reveals why digital tools in school consistently undermine learning--and what parents, teachers, and schools can do to push back with purpose. Our children are struggling. Schools, once alive with deep learning born of human connection, are now dominated by screens and digital tools. The result is unmistakable: falling performance, fractured attention, and the slow erosion of rigorous thought. For the first time in the history of standardized cognitive measurement, children are consistently scoring lower on key measures of cognitive development. We were told that classroom technology was progress. It wasn't. In The Digital Delusion, neuroscientist and educator Dr. Jared Cooney Horvath shows how the widespread use of laptops, tablets, and educational software in classrooms is quietly undermining how children learn, think, and develop. Drawing on decades of neuroscience and education research, Horvath dismantles the core myths driving

Exploring the influence of AI technologies on theories of reason, cognition, learning, and educationLearning Under Algorithmic Conditions presents twenty-seven concise essays that collectively chart the shifting terrain of learning in the age of artificial intelligence. Providing historical and philosophical context, this innovative volume features prominent scholars from the fields of media studies, philosophy, and education research, who shed light on how learning has become newly envisioned, machinic, and more-than-human. The contributors unravel various histories of machine intelligence and elucidate the current impact of machine learning technologies on practices of knowledge production. Teeming with theoretical and practical insights, Learning Under Algorithmic Conditions is an interdisciplinary guide for those working across the humanities and social sciences as well as anyone interested in understanding our changing social, political, and technical infrastructures.Contributors:

Have you ever wondered how AI came to be? How did ChatGPT develop? Who is “Siri”? Find out everything you need to know about the rise of AI and advancing technology, including future applications and concerns, in this informative book that features 16 pages of photos.It all began in 1822 when an English mathematician created the “Difference Engine,” the world’s first mechanical calculating machine. Fast-forward two hundred years, and cars are beginning to drive themselves! How did this technology advance? Over a series of trials and errors, steps forward and back, AI, or artificial intelligence, has most steadily developed since the 1950s. By the '90s, AI technology began interacting with people in laboratories and at conferences, dazzling the world with its impressive knowledge and capabilities. The simulation of human intelligence by machines continues to revolutionize healthcare, transportation, and efficiency across the world. Learn all about this problem-solving facet of the compu