{"id":13938,"date":"2023-11-08T12:47:04","date_gmt":"2023-11-08T12:47:04","guid":{"rendered":"http:\/\/TheNextWeb=1401368"},"modified":"2023-11-08T12:47:04","modified_gmt":"2023-11-08T12:47:04","slug":"german-satellite-will-use-ai-to-detect-anomalies-on-asteroids-and-planets","status":"publish","type":"post","link":"https:\/\/www.londonchiropracter.com\/?p=13938","title":{"rendered":"German satellite will use AI to detect anomalies on asteroids and planets"},"content":{"rendered":"\n

A German satellite<\/a> that will test new AI<\/a> technologies in orbit for automatic detection of anomalies on planets and asteroids is set for launch.<\/p>\n

Despite its ambitious mission, the so-called SONATE-2 is a six-unit cubesat, a type of nanosatellite that\u2019s no bigger than a shoebox. It was designed and built by a team led by aerospace engineer Professor Hakan Kayal from Julius-Maximilians-Universit\u00e4t (JMU) W\u00fcrzburg in Germany.<\/p>\n

According to Kayal, projects of this sort are quite uncommon. \u201cWhat is unique about our mission is that the AI is trained on board. Normally, this training is done on Earth with powerful computers,\u201d he said.<\/p>\n

\u201cLet\u2019s assume that a small satellite is to investigate a new asteroid in the solar system in the future,\u201d Kayal explained. \u201cIt cannot be trained for this task on the ground, because the object of investigation is largely unknown.\u201d<\/p>\n

In typical scenarios, this would mean that data collected from space<\/a> would need to be sent back to Earth and then be used to train the AI remotely \u2014 which is a lengthy process for long-distance missions. But a higher level of autonomy supported by AI on board would be much more efficient.<\/p>\n

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\"SONATE-2
<\/i><\/a>Artist\u2019s impression of the SONATE-2 in orbit. Credit: Hakan Kayal \/ University of W\u00fcrzburg<\/figcaption>