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Using Artificial Intelligence In Chemistry And Biology


Using Artificial Intelligence In Chemistry And Biology
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Using Artificial Intelligence In Chemistry And Biology


Using Artificial Intelligence In Chemistry And Biology
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Author : Hugh Cartwright
language : en
Publisher: CRC Press
Release Date : 2008-05-05

Using Artificial Intelligence In Chemistry And Biology written by Hugh Cartwright and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-05 with Science categories.


Possessing great potential power for gathering and managing data in chemistry, biology, and other sciences, Artificial Intelligence (AI) methods are prompting increased exploration into the most effective areas for implementation. A comprehensive resource documenting the current state-of-the-science and future directions of the field is required to



Using Artificial Intelligence In Chemistry And Biology


Using Artificial Intelligence In Chemistry And Biology
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Author : Hugh Cartwright
language : en
Publisher: CRC Press
Release Date : 2019-08-30

Using Artificial Intelligence In Chemistry And Biology written by Hugh Cartwright and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-30 with categories.


Possessing great potential power for gathering and managing data in chemistry, biology, and other sciences, Artificial Intelligence (AI) methods are prompting increased exploration into the most effective areas for implementation. A comprehensive resource documenting the current state-of-the-science and future directions of the field is required to furnish the working experimental scientist and newcomer alike with the background necessary to utilize these methods. In response to the growing interest in the potential scientific applications of AI, Using Artificial Intelligence in Chemistry and Biology explains in a lucid, straightforward manner how these methods are used by scientists and what can be accomplished with them. Designed for those with no prior knowledge of AI, computer science, or programming, this book efficiently and quickly takes you to the point at which meaningful scientific applications can be investigated. The approach throughout is practical and direct, employing figures and illustrations to add clarity and humor to the topics at hand. Unique in scope, addressing the needs of scientists across a range of disciplines, this book provides both a broad overview and a detailed introduction to each of the techniques discussed. Chapters include an introduction to artificial intelligence, artificial neural networks, self-organizing maps, growing cell structures, evolutionary algorithms, cellular automata, expert systems, fuzzy logic, learning classifier systems, and evolvable developmental systems. The book also comes with a CD containing a complete version of the EJS software with which most of the calculations were accomplished. Encouraging a broader application of AI methods, this seminal work gives software designers a clearer picture of how scientists use AI and how to address those needs, and provides chemists, biologists, physicists, and others with the tools to increase the speed and efficiency of their work.



Machine Learning And Artificial Intelligence In Chemical And Biological Sensing


Machine Learning And Artificial Intelligence In Chemical And Biological Sensing
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Author : Jeong-Yeol Yoon
language : en
Publisher: Elsevier
Release Date : 2024-07-07

Machine Learning And Artificial Intelligence In Chemical And Biological Sensing written by Jeong-Yeol Yoon and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-07 with Science categories.


Machine learning (ML) has recently become popular in chemical and biological sensing applications. ML is a subset of artificial intelligence (AI) and other AI techniques have been used in various chemical and biological sensing. Machine Learning and Artificial Intelligence in Chemical and Biological Sensing covers the theoretical background and practical applications of various ML/AI methods toward chemical and biological sensing. No comprehensive reference text has been available previously to cover the wide breadth of this topic. The Editors have written the first three chapters to firmly introduce the reader to fundamental ML theories that can be used for chemical/biosensing. The subsequent chapters then cover the practical applications with contributions by various experts in the field. They show how ML and AI-based techniques can provide solutions for: 1) identifying and quantifying target molecules when specific receptors are unavailable 2) analyzing complex mixtures of target molecules, such as gut microbiome and soil microbiome3) analyzing high-throughput and high-dimensional data, such as drug screening, molecular interaction, and environmental toxicant analysis, 4) analyzing complex data sets where fingerprinting approach is needed This book is written primarily for upper undergraduate students, graduate students, research staff, and faculty members at teaching and research universities and colleges who are working on chemical sensing, biosensing, analytical chemistry, analytical biochemistry, biomedical imaging, medical diagnostics, environmental monitoring, and agricultural applications. - Presents the first comprehensive reference text on the use of ML and AI for chemical and biological sensing - Provides a firm grounding in the fundamental theories on ML and AI before covering the practical applications with contributions by various experts in the field - Includes a wide array of practical applications covered, including: E-nose, Raman, SERS, lens-free imaging, multi/hyperspectral imaging, NIR/optical imaging, receptor-free biosensing, paper microfluidics, single molecule analysis in biomedicine, in situ protein characterization, microbial population dynamics, and all-in-one sensor systems



Artificial Intelligence In Education


Artificial Intelligence In Education
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Author : Matthew N.O. Sadiku
language : en
Publisher: iUniverse
Release Date : 2022-01-27

Artificial Intelligence In Education written by Matthew N.O. Sadiku and has been published by iUniverse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-27 with Education categories.


The quest for building an artificial brain developed in the fields of computer science and psychology. Artificial intelligence (AI), sometimes called machine intelligence, refers to intelligence demonstrated by machines, while the natural intelligence is the intelligence displayed by humans and animals. Typically, AI systems demonstrate at least some of the following human behaviors: planning, learning, reasoning, problem solving, knowledge representation, perception, speech recognition, decision-making, language translation, motion, manipulation, intelligence, and creativity. Artificial intelligence is an emerging technology which the educational sector can benefit from. In this book, we consider the applications of AI in key areas of education. Artificial intelligence in education (AIED) refers to the application of AI technologies in educational settings to facilitate teaching, learning, or decision making. AI will impact the education field in the areas of administration, instruction, and personalized, and individualized learning applications. In this book, AI is specifically applied in the following key educational sectors: education, natural sciences, social sciences, computer science, engineering, business, and medicine.



Artificial Intelligence And Biological Sciences


Artificial Intelligence And Biological Sciences
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Author : P.V. Mohanan
language : en
Publisher: CRC Press
Release Date : 2025-06-17

Artificial Intelligence And Biological Sciences written by P.V. Mohanan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.


Advancements of AI in medical and biological sciences have opened new ways for drug development. Novel therapeutic molecules and their target action can be easily predicted and can be modified. AI helps in disease detection and diagnosis faster. The breakthrough of AI is made especially in the area of personalized precision medicine, host-pathogen interaction and predictive epidemiology. These approaches could help in faster decision-making with minimal errors that can improve risk analysis, especially disease diagnosis and selecting treatment strategy. In agricultural practices, an exact combination of fertilizers, pesticides, herbicides, soil management, water requirement analysis, yield prediction and overall crop management can be modified by implementing AI interventions. AI could provide a better improvement in agriculture, medical research, pharmaceuticals and bio-based industries for a sustainable life. The key features of this book are: AI in medical Sciences, biotechnology and drug discovery; Application of AI in Digital Pathology, cytology and bioinformatics; Overview of AI, Machine Learning and Deep Learning; Impact of Artificial Intelligence in Society; Artificial Intelligence in Pharmacovigilance; and Ethics in Artificial Intelligence. The volume aims to comprehensively cover the application of AI in biological sciences. It is a collection of contributions from different authors who have several years of experience in their specific areas. The book will be useful for pharma companies, CROs, product developers, students, researchers, academicians, policymakers and practitioners.



Artificial Intelligence In Bioinformatics And Chemoinformatics


Artificial Intelligence In Bioinformatics And Chemoinformatics
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Author : Yashwant Pathak
language : en
Publisher: CRC Press
Release Date : 2023-10-11

Artificial Intelligence In Bioinformatics And Chemoinformatics written by Yashwant Pathak and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-11 with Medical categories.


The authors aim to shed light on the practicality of using machine learning in finding complex chemoinformatics and bioinformatics applications as well as identifiying AI in biological and chemical data points. The chapters are designed in such a way that they highlight the important role of AI in chemistry and bioinformatics particularly for the classification of diseases, selection of features and compounds, dimensionality reduction and more. In addition, they assist in the organization and optimal use of data points generated from experiments performed using AI techniques. This volume discusses the development of automated tools and techniques to aid in research plans. Features Covers AI applications in bioinformatics and chemoinformatics Demystifies the involvement of AI in generating biological and chemical data Provides an Introduction to basic and advanced chemoinformatics computational tools Presents a chemical biology based toolset for artificial intelligence usage in drug design Discusses computational methods in cancer, genome mapping, and stem cell research



Artificial Intelligence For Chemical Sciences


Artificial Intelligence For Chemical Sciences
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Author : Shrikaant Kulkarni
language : en
Publisher: CRC Press
Release Date : 2025-05-09

Artificial Intelligence For Chemical Sciences written by Shrikaant Kulkarni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.


Chemists are increasingly employing artificial intelligence (AI) for diversified applications. This new volume explores the use of AI and its various computer-aided applications for the design of new drugs and chemical products, for toxicity prediction and biodegradation, and for fault diagnosis in chemical processing plants. The volume explores knowledge and reasoning-based approaches of the field of chemintelligence to make predictions about the right molecules with given structures and properties as precursors or starting materials, reaction pathways, reaction conditions, improvement in reaction efficiency and selectivity, toxicity, metabolism, biodegradation, and more.



The Routledge Handbook Of Artificial Intelligence And International Relations


The Routledge Handbook Of Artificial Intelligence And International Relations
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Author : Diego Brasioli
language : en
Publisher: Taylor & Francis
Release Date : 2025-05-15

The Routledge Handbook Of Artificial Intelligence And International Relations written by Diego Brasioli and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-15 with Political Science categories.


The Routledge Handbook of Artificial Intelligence and International Relations examines how machines, algorithms, and data are reshaping the way nations interact, negotiate, and navigate global politics. In the 21st century, artificial intelligence (AI) has transformed from a theoretical wonder to a real force, and with it the race to dominate new technologies is proving to be a key geopolitical concern. This book looks at both the ways in which AI is transforming the landscape of international relations and the challenges this brings. The book includes discussions on: The need for regulations and oversight to make sure that AI is used in an ethical way AI’s role in conflict resolution and peacekeeping and its influence on economic alliances The ethical and moral dilemmas posed by autonomous systems making life-or-death decisions Frameworks that ensure responsible and accountable use of AI How the choices we make today will define the contours of global equilibrium for generations to come With a variety contributions from policy analysts, philosophers, government officials, scientists, researchers, and business representatives, this book appeals to students and researchers of political science, international relations, computer science, and ethics. It also holds interest for professionals in government organizations and NGOs at national and international levels.



Artificial Intelligence In Chemistry


Artificial Intelligence In Chemistry
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Author : José S. Torrecilla
language : en
Publisher: Frontiers Media SA
Release Date : 2020-07-17

Artificial Intelligence In Chemistry written by José S. Torrecilla and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-17 with categories.




Machine Learning In Chemistry


Machine Learning In Chemistry
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Author : Hugh M Cartwright
language : en
Publisher: Royal Society of Chemistry
Release Date : 2020-07-15

Machine Learning In Chemistry written by Hugh M Cartwright and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-15 with Science categories.


Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.