The geospatial machine learning landscape is currently dominated by consultants who manually train algorithms, he said, adding that most of these projects fail.

The Swiss-based geospatial machine learning company has joined a community of more than 60 members, patrons, and advisory partners representing the entire value chain of the geospatial ecosystem. The ...

Using tech to renew the built-in environment Cavendish sums up the benefit of cloud, analytics and machine learning geospatial for his company and says: We're trying to use the best of technology, ...

Picterra, the leading provider of geospatial machine learning software, today announced powerful new data curation and exploration technology that allows users to get a better understanding of their ...

In machine learning, a form of AI, computer programs improve through experience, accessing data and using it to learn for themselves.

In recent years, machine learning has revolutionized the study of glacier erosion rates, providing valuable insights into ...

Discover how transportation agencies are transforming operations and improving public safety through cutting-edge technology ...

One of the central challenges for participants is to develop tools that forecast informal urban expansion and analyse its ...

What exciting contributions has your lab made to spatial omic data analysis that your lab has delivered? We are trying to use machine learning to improve both our ability to predict a therapeutic ...

Computer Science Professor Esther Rolf explained how her team uses geospatial machine learning, a type of AI that analyzes geographical data.

Computer Science Professor Esther Rolf explained how her team uses geospatial machine learning, a type of AI that analyzes geographical data.