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The Springer Series in Applied Machine Learning

Large Language Models for Sustainable
Urban Development

Large Language Models for Sustainable Urban Development

Complementary to the enormous challenges related to handling, interrogating, and understanding&nbsp;massive amounts of complex structured and unstructured data, there are unique opportunities that come with access to a wealth of feature-rich, high-dimensional, and time-varying information. The&nbsp;topics covered in this textbook address specific knowledge gaps, resolve educational barriers, and&nbsp;mitigate workforce information readiness and data science deficiencies. Specifically, it provides a&nbsp;transdisciplinary curriculum integrating core mathematical foundations, modern computational&nbsp;methods, advanced data science techniques, model-based machine learning (ML), model-free&nbsp;artificial intelligence (AI), and innovative biomedical applications. The book’s fourteen chapters start&nbsp;with an introduction and progressively build the foundational skills from visualization to linear modeling, dimensionality reduction, supervised classification, black-box machine learning techniques, qualitative learning methods, unsupervised clustering, model performance assessment, feature selection strategies, longitudinal data analytics, optimization, neural networks, and deep learning.&nbsp;Individual modules and complete end-to-end pipeline protocols are available as functional R electronic markdown notebooks. These&nbsp;workflows support an active learning platform for comprehensive data manipulation, sophisticated&nbsp;analytics, interactive visualization, and effective dissemination of open problems, current knowledge, scientific tools, and research findings. This Second Edition includes new material reflecting recent scientific and technological&nbsp;progress and a substantial content reorganization to streamline the covered topics.&nbsp;Featured are learning-based strategies utilizing generative adversarial&nbsp;networks (GANs), transfer learning, and synthetic data generation. There are complete end-to-end&nbsp;examples of ML/AI training, prediction, and assessment using quantitative, qualitative, text, and&nbsp;imaging datasets. This textbook is suitable for self-learning and instructor-guided course training. It is appropriate for upper division and graduate-level courses covering applied and interdisciplinary mathematics, contemporary learning-based data science techniques, computational algorithm development,&nbsp;optimization theory, statistical computing, and biomedical sciences. The analytical techniques and&nbsp;predictive scientific methods described in the book may be useful to a wide spectrum of readers,&nbsp;formal and informal learners, college instructors, researchers, and engineers throughout the&nbsp;academy, industry, government, regulatory and funding agencies.

Biomedical and Health Applications using R

Data Science and Predictive Analytics

How Climate Change is Changing Sport – A GUARDIAN SPORTS BOOK OF THE YEAR

Warming Up

A History of Community, Stewardship, and Resilience

A Practical Farmer’s Journey

Why Change Is Hard and How We Can Achieve It

New Beginnings

Depending on who you ask, artificial intelligence is our salvation or our doom; an overhyped, bigoted artist or the ticket to immortality and utopian abundance; just another tech fad or the last invention we need ever make. The AI discourse is confusing, messy, and frustrating. But the technology — and our response to it — will shape the future, whether or not we’re part of the conversation.
Obsolete is&nbsp;for those who are interested in learning more about AI, but unsure of where to start and who to believe. They may feel intimidated by the technical jargon, put off by dry and abstract prose, or skeptical of the loudest voices on the issue (like Elon Musk and Sam Altman). Obsolete will introduce readers to the basics of AI, the idea that it could lead to human extinction, the roiling three-sided debate surrounding extinction fears, and the people and companies trying to build artificial general intelligence (AGI) — that which can outwit humans across the board. The book will grapple with the core arguments animating the AI debates, which are, by turns, uncritically parroted and unduly dismissed. It will also cut through industry hype while seriously entertaining the implications of AGI.
The risk that AGI could result in our extinction is being recognized by a significant and growing number of leading AI researchers, industrialists, and policymakers, along with the wider public. Existential risk from AI has been explored in other books, but Obsolete will be the first to center its analysis on how both capitalist and great power competition make AI more dangerous.
Obsolete will also tackle questions like: Can machines actually outsmart humanity? If so, when could that happen? If AGI is possible, is it inevitable? Why are people trying to build a technology they claim could end the world? Is the idea of AI-driven extinction the product of a big tech conspiracy aiming to hype the technology and control its regulation? Why has the left mostly ignored or dismissed existential risk from AI? Why do some powerful techies welcome human extinction? How could AI enable stable authoritarian regimes? How could killer robots reshape war and the balance of power? What do China and the US want from AI? And why has it become the front line of their brewing Cold War? And finally: What can and should the left do about it?

Power, Profit, And The Race For Machine Superintelligence

Obsolete

Medical Robots and Devices: New Developments and Advances

AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies. The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

AI and Data Science in Medical Research

Understand how to embrace and embed artificial intelligence into your public relations and communications practice and strategy with this how-to guide.

A How-To Guide for Implementation and Management

AI for Public Relations

Bloomsbury Advances in Critical Discourse Studies

A Critical Approach

Analysing Environmental Discourse

Combining Human Thinking and Creativity with Technology to Inspire Audiences

Authentic Marketing

'Fascinating' Observer'Engrossing' i News'Elegant' Sunday Telegraph'Profound and poignant' Sunday Post'Remarkable and complex' George McGavinA memoir and investigation exploring loss, community and the climate crisis in the Shetland Islands by environmental journalist Marianne Brown.How do we balance our needs with the needs of the natural world around us?How can we have nuanced conversations and debate in a time of extreme activism or extreme denial?How can we begin to understand the complexities of a subject as enormous as climate change?And how can we change the way we live to save our lives?This is one woman's story of how her quest to make peace with her father's death brought her straight to the heart of a challenging debate about how we save the planet.When Marianne Brown arrived in Voe, Shetland, to attend the funeral of her father, she had packed enough clothes to last a short trip. But this was February 2020, just weeks before the UK's first lockdown, and she would be unable to leave for another six months.Shetland is a place bound together by community, history and culture. But when a huge windfarm is greenlit to export energy to mainland Scotland, it creates rifts between neighbours, friends and even families. One side supports the benefit to a planet spiralling into climate disaster; the other challenges the impact on an environment with an already struggling wildlife population.As an environmental journalist, Marianne is drawn to investigate this story of sustainable energy that is irrevocably tied to her grief. But nothing is ever straightforward, and she soon finds herself on a transformative journey into the heart of a debate that mirrors global concerns about how we save the planet.

Community and Climate Crisis on My Father's Islands

The Shetland Way

Readings in Theatre Practice

Keywords and Concepts

Acting

Creativity in the Age of AI

What Art Is Now

Discover how to use AI confidently, responsibly and ethically as an HR practitioner with this practical jargon-free guide.

Understand How to Use Artificial Intelligence in Your HR Role

AI for People Professionals

Large Language Models for Sustainable Urban Development

Autres titres de la collection: The Springer Series in Applied Machine Learning

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