Book Title:
Creative Artificial Intelligence for Discovery Automation
Author: Danial Khorasanian
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Abstract:
Traditionally, creative people have been the primary drivers of discovery. Advances in Artificial Intelligence (AI) have opened the door to scaling discoveries by introducing agents capable of making creative contributions, either independently or in collaboration with humans. This book discusses the building blocks and complex applications of creative AI. It aims to explain the most important and advanced concepts in the simplest possible way, making them useful to a broad audience.
The book is copyrighted by Creative Commons CC BY-NC-ND 4.0 license. While the PDF remains open-access for learning purposes, the printed version will be published once it is complete.
Contents
Contents
Part I: Building Blocks
Introduction
Sequential Decision Making Optimization (coming soon)
Part II: Complex Applications
Postdoc in Deep Learning and Reinforcement Learning at the University of Toronto
Postdoc in Sequential Decision Making with Uncertain Parameters and Tabular Machine Learning at the University of Ottawa
PhD in Industrial Engineering focused on Healthcare Optimization at Isfahan University of Technology
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