Satellites
Satellites

Satellites

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MIT ARCLab announces winners of inaugural Prize for AI Innovation in Space

The challenge asked teams to develop AI algorithms to track and predict satellites’ patterns of life in orbit using passively collected data

Algorithms Artificial Intelligence Climate change Computer modeling Data Lincoln Laboratory machine learning NASA Research Satellites Weather Weather modeling

Using deep learning to image the Earth’s planetary boundary layer

Lincoln Laboratory researchers are using AI to get a better picture of the atmospheric layer closest to Earth’s surface. Their techniques could improve weather and drought prediction.

Agriculture Artificial Intelligence Carbon dioxide Civil and environmental engineering Climate Climate change Computer science and technology Faculty Food J-WAFS Lincoln Laboratory machine learning Plants Profile Research Satellites School of Engineering sensors Water

Detailed images from space offer clearer picture of drought effects on plants

J-WAFS researchers are using remote sensing observations to build high-resolution systems to monitor drought.