This rubric focuses on geospatial and mapping systems, as well as geolocation-based augmented reality. The focus here is primarily on systems that use machine learning, semantics, or graph-based systems for interactive capabilities, and that are typically adaptive in nature.
AI’s sudden surge in popularity and capabilities empower research teams to enhance its versatility for broader use. The University of Texas at Austin (UT) recently… Read More »How AI can turn audio recordings into accurate images
An interview with Nipa Basu, Global and North American Practice Director, Digital Intelligence, GHD Digital Nipa Basu, PhD Dr. Basu leads the Digital Intelligence practice… Read More »Hands-on data science where ESG matters most
Interview with Patrick Stingley During this very special 6th episode of the AI Think Tank Podcast, I had the honor to speak with Patrick Stingley, a… Read More »Zero Trust Architecture and AI
This book is for participants in my AI and machine learning certification program. However, it is now free and available to everyone. With tutorials, enterprise-grade… Read More »New Book: Practical GenAI and Machine Learning – Projects and Datasets
This list covers well-known as well as specialized libraries that I use rather frequently. Applications include GenAI, data animations, LLM, synthetic data generation and evaluation,… Read More »30 Python Libraries that I Often Use
Synthetic data is used more and more to augment real-life datasets. It enriches them and allow black-box systems to correctly classify observations or predict values… Read More »New Book: Synthetic Data – Generation and Applications
