Future-Ready with Generative AI

Skills, Mindsets, and Stories in the Age of AI
1. Auflage 2026
ISBN: 978-1-032-97533-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 152 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Chapman & Hall/CRC Artificial Intelligence and Robotics Series

Comprising two volumes, RNA: Computational Methods for Structure, Kinetics, and Rational Design is a comprehensive treatment of computational methods concerning the secondary structure, folding kinetics and rational design of RNA.

Volume 2 covers secondary structure folding kinetics, starting with an inquiry into whether the ensemble of RNA structures is small-world or scale-free, then proceeding to the identification of local energy minima that create a basin of attraction, leading to a coarse-grained kinetics model. The book describes Markov state models created from secondary structure folding trajectories generated by the kinetic Monte Carlo (Gillespie) algorithm, the first such application. Python code is available at the book’s website, allowing research teams to use the code and extend the approach. Current RNA research concerns the rational design of functional RNA molecules, which The book provides an overview and comparison of various inverse folding algorithms, combinatorial optimization, and the question of whether inverse folding is computationally hard (NP-complete). Another chapter focuses on various types of designed RNA including ribozymes, RNA thermometers, bistable switches, toehold switches, mRNA vaccines, and paper-based COVID-19 tests. The final chapter is a math appendix for the linear algebra and Markov chain results that are essential to folding kinetics.

This book provides the nuts, bolts and tools for the next generation of computational work on RNA, especially for the rational design of functional molecules – a topic that not so long ago seemed more like science fiction. Exercises at the end of each chapter introduce new material or related concepts, and solutions are available at the book’s website. It is perfect for advanced undergraduate, graduate and post-graduate readers having analytical interests and skills from areas such as physical chemistry, physics, mathematics, computer science, and statistics.

Zielgruppe

Academic, General, Postgraduate, Professional Practice & Development, and Undergraduate Advanced

Autoren/Hrsg.

Kollo, Michael G.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Geisteswissenschaften Philosophie Angewandte Ethik & Soziale Verantwortung Wissenschaftsethik, Technikethik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Futurologie (Interdisziplinär)
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Gruppen/Soziale Themen Sozialprognosen
• Geisteswissenschaften Philosophie Ethik, Moralphilosophie

Inhaltsverzeichnis

Chapter 1: What changed (about AI)?
Chapter 1 Story – Confide in me.
Chapter 2: Digitally native intelligence.
Chapter 2 Story – The Digital Immortality Machine
Chapter 3: Talking to us in context and perfect memory
Chapter 3 Story – The space in between
Chapter 4: ‘Who’ could an AI be?
Chapter 4 Story – Better than AI
Chapter 5: How we will come to hate and love our Ais
Chapter 5 Story - The intelligent caretaker
Chapter 6: Have we lost control?
Chapter 6 Story - The digital deities
Chapter 7: The sirens of AI
Chapter 7 Story - We were in love
Chapter 8: The (new) future of work.
Chapter 8 Story - The intelligence salesman
Chapter 9: What is knowable and what is ahead