Google Maps has got fresh competition. Using machine learning, computer engineers have developed an interactive map that ...

Apple's Machine Learning Research wing has developed a foundational AI model "for zero-shot metric monocular depth estimation." Depth Pro enables high-speed generation of detailed 3D depth maps from a ...

A team of Germany-based researchers recently unveiled GlobalBuildingAtlas, which is likely the most detailed 3D map of buildings ever developed. Introduced earlier this month, the database ...

In recent years, machine learning has revolutionized the study of glacier erosion rates, providing valuable insights into environmental planning. As glaciers continue to retreat due to climate change, ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

This map depicts the predicted types of soil in Tokyo with an unprecedented level of detail. Such maps are essential for urban planning and earthquake risk assessment, as they reveal areas that are ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.