News: space machine learning
AIML professor convenes world-class thinkers to bring AI to new heights
The space sector is experiencing significant growth, both in Australia and globally. An April 2024 McKinsey and Company report estimates that the global space economy will be worth $1.8 trillion by 2035 (accounting for inflation), up from $630 billion in 2023.
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Award winning space AI
AIML PhD candidate Sofia McLeod is researching ways to build an AI system that can safely land an autonomous spacecraft on a distant planetary or asteroid surface guided by visual input from a single event camera.
‘Set and forget’ machine learning delivers NASA prize-winning space innovation
If you send a robot to the Moon, you’ve got to be sure it can do its job without constant human supervision.
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How astrophysics and machine learning took Michele Sasdelli from Germany to England to NASA to Adelaide
Keeping track of space debris is difficult. Read how Dr Michele (Mike) Sasdelli is using machine learning to model the movement of space junk and other objects in Earth's orbit.
A/Prof Tat-Jun Chin Among the First Appointments Chairing $20m SmartSat CRC Investment
Associate Professor Tat-Jun Chin, AIML's Director for Machine Learning for Space, is one the of the first appointments to oversee the $20 million investment to develop next generation space technologies through the SmartSat Collaborative Research Centre.
Getting junk out of space
A crack Australian team is using machine learning to tackle the threat of space junk wrecking new satellites.
