Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

Utilities are increasingly adopting advanced AI-powered platforms that analyze aerial imagery and geospatial data to detect ...

Third, the AI industry itself will attempt to solve the spatial intelligence problem. Spatial intelligence is already a hot concept in the broader AI world. Companies such as NVIDIA and World Labs ...

IBM’s beta release of its Environmental Intelligence (EI) platform offers application developers and data scientists curated environmental insights powered by AI with access to open-source geospatial ...

To permanently access this eBook for free, fill out the short form below. Human-relevant models and spatial profiling are transforming drug discovery by providing more predictive, human-like data ...

My two main research interests are geospatial data science and data management. My current research focuses on using geospatial analytics and integrating spatiotemporal data including stream sensors ...

In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business. Image: ...

The study identifies Geographic Information Systems as the foundational layer of modern digital waste management. Waste ...

What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...

In the information-rich age we live in, answers to location-based questions have never been more available – and crucial – to a business’s success. Yet, many of South Africa’s franchises and retailers ...