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AIML Research Seminar: From Data to Discoveries - machine learning and optimisation in space
- Date: Tue, 28 May 2024
- Location: AIML
During his time as internal research fellow at the European Space Agency, Marcus Märtens organised several open competitions that paved the way for applying modern machine learning (ML) techniques to space-related challenges. This talk provided an overview of this process from the original idea to the preparation of the datasets, the management of the actual competitions, and an analysis of the resulting aftermath.
AIML Special Presentation: Google Research Visit
- Date: Thu, 16 May 2024
- Location: AIML
Generative LLMs are transforming multiple industries and have proven to be robust for multitude of use cases across industries and settings. One of the key impediments to their widespread deployment is the cost of serving and its deployability across multiple devices/settings. In this talk, Grace and Prateek discussed the key challenges in improving efficiency of LLM serving and provided an overview of some of the key techniques to address the problem. They also discussed tandem transformers and HIRE, novel methods to speed up decoding in LLMs.
[Read more about AIML Special Presentation: Google Research Visit]
CAR Special event - Data61
- Date: Tue, 7 May 2024
- Location: AIML
David and Lars presented an overview of their research interests and capabilities, highlighting their involvement in external projects. Afterwards, Dr Russell Tsuchida and Buse Turunctur discussed their research interests and possible collaborations.
AIML Special Presentation: Active Learning with Deep Neural Networks
- Date: Wed, 1 May 2024
- Location: AIML
In Active Learning the system gives select data to an expert to annotate, which is costly and should be minimised. Prof Butine proposes the first general Bayesian method to work well in this context, and his experiments show it is the only method consistently better than random.
[Read more about AIML Special Presentation: Active Learning with Deep Neural Networks]
AIML Research Seminar: Crater-based pose estimation for cislunar located spacecraft
- Date: Tue, 30 Apr 2024
- Location: AIML
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.
AIML Special Presentation: Trustworthy AI
- Date: Mon, 29 Apr 2024
- Location: AIML
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: Improving Efficiency of Foundation Models
- Date: Tue, 16 Apr 2024
- Location: AIML
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.
[Read more about AIML Research Seminar: Improving Efficiency of Foundation Models]
AIML Special Guest Presentation: Exploring the Earth and space with micro-satellites
- Date: Wed, 3 Apr 2024
- Location: AIML
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: Anatomically Aware Brain MRI Segmentation of the Cerebral Vasculature
- Date: Tue, 19 Mar 2024
- Location: AIML
As humans, we learn to know what is abnormal by establishing an understanding of what the ‘norm’ actually is. Medical tasks require specific knowledge (e.g. radiologists need to be highly trained), and much is known about healthy, ‘normal’ brain anatomy- documented by anatomical atlases and brain models. This knowledge can then be applied to identify abnormal brain structure from medical images, to identify pathology.
AIML Research Seminar: Computational Algorithms for Human Behaviour Analysis - From Research Endeavor to Industry Relevance
- Date: Tue, 5 Mar 2024
- Location: AIML
Minh provided an overview of his research endeavours and interests, aiming to spark discussions about potential collaborative ventures.
