Everything you need to know about AI to survive—and thrive—as an engineer.

A concise, vendor-neutral playbook for applying AI across discovery, materials and manufacturing—clear methods, real examples and validation checklists that help chemists plan, pilot and scale while keeping chemical intuition firmly in the loop.

Today AI and Machine/Deep Learning have become the hottest areas in the information technology. This book aims to provide a complete picture on the challenges and solutions to the security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks.

The demand for telehealth solutions has been growing exponentially after the Covid-19 pandemic. Hospitals remain understaffed, which leads to staff burnouts and unsatisfactory patient experience.

This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on smart manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments.