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Recent advances in machine learning or artificial intelligence for vision and natural language processing that have enabled the development of new technologies such as personal assistants or self-driving cars have brought machine learning and artificial intelligence to the forefront of popular culture. The accumulation of these algorithmic advances along with the increasing availability of large data sets and readily available high performance computing has played an important role in bringing machine learning applications to such a wide range of disciplines. Given the emphasis in the chemical sciences on the relationship between structure and function, whether in biochemistry or in materials chemistry, adoption of machine learning by chemistsderivations where they are important
Janet E. Smith has been among the world’s preeminent voices in the study of the issues raised by Pope Paul VI’s 1968 encyclical letter Humanae vitae. Self-Gift: Essays on Humanae Vitae and the Thought of John Paul II presents Smith’s critical collection of essays on the vocation of marriage, human sexuality, contraception, and more. Her groundbreaking scholarship touches on all the areas implicated in Humanae vitae: from natural family planning to parenthood and natural law to personalism. This collection not only includes Smith’s English translation of the encyclical from the original Latin text, but also helpful background on the development and release of this authoritative magisterial document. With a particular emphasis on the personalist and Thomistic philosophy of Pope St. John Paul II and how it illuminates the two-millennia tradition of Catholic teaching on human sexuality, Self-Gift delivers crucial insight into the Creator’s plan for human sexuality and our full flourishing in Christ.
This book constitutes the refereed proceedings of the 19th International Conference on Unity of Logic and Computation, CiE 2023, held in Batumi, Georgia, during July 24–28, 2023. The 23 full papers and 13 invited papers included in this book were carefully reviewed and selected from 51 submissions. They were organized in topical sections as follows: Degree theory; Proof Theory; Computability; Algorithmic Randomness; Computational Complexity; Interactive proofs; and Combinatorial approaches.
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BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the app...
Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
This primer helps the reader understand the basic categories of molecular representations and provides computational tools to generate molecular descriptors in each of these categories. After reading this primer, you will be able to use various methods to generate machine and/or human interpretable representations of molecular systems for inputs to machine learning models or for general chemical data science applications.
Systematically examining current methods and strategies, this ready reference covers a wide range of molecular structures, from organic-chemical drugs to peptides, Proteins and nucleic acids, in line with emerging new drug classes derived from biomacromolecules. A leader in the field and one of the pioneers of this young discipline has assembled here the most prominent experts from across the world to provide first-hand knowledge. While most of their methods and examples come from the area of pharmaceutical discovery and development, the approaches are equally applicable for chemical probes and diagnostics, pesticides, and any other molecule designed to interact with a biological system. Num...
Paper Politics: Socially Engaged Printmaking Today is a major collection of contemporary politically and socially engaged printmaking. This full-color book showcases print art that uses themes of social justice and global equity to engage community members in political conversation. Based on an art exhibition that has traveled to a dozen cities in North America, Paper Politics features artwork by over 200 international artists; an eclectic collection of work by both activist and non-activist printmakers who have felt the need to respond to the monumental trends and events of our times. Paper Politics presents a breathtaking tour of the many modalities of printing by hand: relief, intaglio, lithography, serigraph, collagraph, monotype, and photography. In addition to these techniques, included are more traditional media used to convey political thought, finely crafted stencils and silk-screens intended for wheat pasting in the street. Artists range from the well established (Sue Coe, Swoon, Carlos Cortez) to the up-and-coming (Favianna Rodriguez, Chris Stain, Nicole Schulman), from street artists (BORF, You Are Beautiful) to rock poster makers (EMEK, Bughouse).
2007 CHOICE Outstanding Academic Title Sociologists have too often discounted the role of space in inequality. This book showcases a recent generation of inquiry that attends to poverty, prosperity, and power across a range of territories and their populations within the United States, addressing spatial inequality as a thematically distinct body of work that spans sociological research traditions. The contributors' various perspectives offer an agenda for future action to bridge sociology's diverse and often narrowly focused spatial and inequality traditions.