Artificial Intelligence and Molecular Biology
by Lawrence Hunter
Publisher: AAAI Press 1993
ISBN/ASIN: 0262581159
ISBN-13: 9780262581158
Number of pages: 467
Description:
These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. Focusing on novel technologies and approaches, rather than on proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems. A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book.
Download or read it online for free here:
Download link
(1.7MB, PDF)
Similar books
Artificial Intelligence and Responsive Optimizationby M. Khoshnevisan, S. Bhattacharya, F. Smarandache - Xiquan
The purpose of this book is to apply the Artificial Intelligence and control systems to different real models. The text is designed for graduate students and researchers who are active in the applications of AI and Control Systems in modeling.
(15502 views)
Human and Machine Consciousnessby David Gamez - Open Book Publishers
This book sets out a bold interpretation of consciousness that neutralizes the philosophical problems and explains how we can make scientific predictions about the consciousness of animals, brain-damaged patients and machines.
(6031 views)
Affective Computingby Jimmy Or - IN-TECH
An overview of state of the art research in Affective Computing. It presents new ideas, original results and practical experiences in this increasingly important research field. The book consists of 23 chapters categorized into four sections.
(14795 views)
AI Demystifiedby Alex David Pratt - The Scribe Press
The book discusses AI's potential to transform daily life, emphasizing both its benefits and risks. It encourages responsible AI use, focusing on its impact in creativity and society, while addressing challenges like deepfakes and automation.
(1933 views)