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
The challenge asked teams to develop AI algorithms to track and predict satellites’ patterns of life in orbit using passively collected data
Portugal’s second-ever satellite was developed in collaboration with the MIT Portugal Program.
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.
Analysis reveals a tiny black hole repeatedly punching through a larger black hole’s disk of gas.
The team used machine learning to analyze satellite and roadside images of areas where small farms predominate and agricultural data are sparse.
The detections more than double the number of known tidal disruption events in the nearby universe.
The findings suggest our galaxy’s core may contain less dark matter than previously estimated.
The MIT Orbital Capacity Assessment Tool lets users model the long-term future space environment.
A low carbon abundance in planetary atmospheres, which the James Webb Space Telescope can detect, could be a signature of habitability.
This laser communications terminal, developed at Lincoln Laboratory, aims to transmit data at high rates from the ISS to ground stations via NASA’s first two-way laser communications relay system.
Using multiple observatories, astronomers directly detect tellurium in two merging neutron stars.
The frosty gas giant was discovered in a system that also hosts a warm Jupiter.
The color changes reflect significant shifts in essential marine ecosystems.
A new technique uses remote images to gauge the strength of ancient and active rivers beyond Earth.