Researchers are using artificial intelligence, drones, and sensors to locate and assess undocumented orphaned oil and gas ...

Researchers adapted a state-of-the-art vision neural network model trained ... AI model was trained on less than 100 maps of ...

The State paid €2.3m for the Andrew and Charlotte Bonar ... Born in 1933, Andrew Bonar Law is described as Ireland’s leading ...

This valuable study combines experiments and theory to investigate the putative role of spontaneous correlated activity in establishing aligned topographic maps of neural activity in higher-order ...

Historical photographs, topographical maps and two hours of expert testimony Tuesday afternoon weren’t enough to convince a ...

At the Marine City Commission’s Dec. 5 meeting, Anderson, Eckstein and Westrick representative Mike Harrington gave ...

On December 4, it was announced that Kyrgyzstan and Tajikistan have finalized the description of their state border sections.

But according to a new study, AI may be of help. A new, state-of-the-art deep learning framework was trained to recognize oil and gas well symbols on historical topographic maps spanning decades.

Key TakeawaysExperts estimate there are hundreds of thousands of oil and gas wells in the United States that are not formally ...

AI methodologies from Berkeley Lab identify undocumented orphaned wells, enhancing environmental safety and supporting ...