Latest events

AIML Special Guest Presentation: Exploring the Earth and space with micro-satellites

Dana Rawls — Thu, 27 Jun 2024 12:11:13 +0930

In the past, space utilisation has required long preparation times and high budgets, but the 50 kg optical satellites we have developed and have successfully launched six times can be fabricated in a few years with a budget of 3-7 M USD and can be launched for 1-2 M USD, e.g. using carpool launch opportunities. This means that universities and relatively small companies can own and operate their own satellites, even if they are not national space organisations.

AIML Research Seminar: Improving Efficiency of Foundation Models

Dana Rawls — Thu, 27 Jun 2024 12:06:45 +0930

Large deep learning models or foundation models such as chatGPT or GPT-4 have been the key factor in driving the recent new wave of AI breakthrough, resulting in huge social and economic impacts. However, even GPT-3 (the predecessor of ChatGPT) was trained on half a trillion words and equipped with 175 billion parameters, which required huge computing resource and energy consumption.

AIML Special Presentation: Trustworthy AI

Dana Rawls — Thu, 27 Jun 2024 11:58:54 +0930

Out-of-distribution (OOD) detection aims to let a well-trained classifier tell what it does NOT know, instead of wrongly recognising an unknown object as a known one. For example, for a well-trained flower recognition model, we want it to tell users “I don’t know” when users show a car image to it, instead of telling users that it is a kind of flower. In this talk, Dr Liu presented one advance in OOD detection theory and two recent OOD scores: one based on in-distribution prior and the other based on the pre-trained vision-language model CLIP.

AIML Research Seminar: Crater-based pose estimation for cislunar located spacecraft

Dana Rawls — Thu, 27 Jun 2024 11:48:12 +0930

In this presentation, Sofia demonstrated how we can estimate cislunar located spacecraft through a crater-based pose estimation pipeline. Her research focus lies in the final pose estimation step of the pipeline, where she has conclusively addressed the weaknesses of current pose estimation methods by developing a robust perspective-n-crater algorithm. As part of this research, Sofia interned for three months at Japan’s National Institute of Information and Communication Technology and discussed what it was like working and living in Japan.