Latest events

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: 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.

AIML Research Seminar: From Data to Discoveries - machine learning and optimisation in space

Image for Marcus Märtens' presentation, June 2024

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: Does a farmer want AI? Developing a Trusted AI Agronomist

Drs Sarah Hartman and Petra Kuhnert during their AIML presentation

Date: Mon, 3 Jun 2024
Location: AIML

A path to a productive, resilient, and sustainable agricultural future lies in the successful integration of disruptive AI-driven agritechnology into decision-making processes across the food supply chain. These advanced solutions are crucial for assessing trade-offs and risks in a world increasingly affected by climate volatility. However, these solutions cannot come without a deeper understanding of the underlying appetite for such solutions.

AIML Research Seminar: The ghost of forecasts past

Date: Tue, 11 Jun 2024
Location: AIML

Numerical Weather Prediction (NWP) is experiencing a turbulent upheaval. Machine learning (ML) promises to alter every aspect of the process, but integration of the new, fast ML-driven forecast systems is going slowly.

AIML Connect Friday: AI Consciousness

Date: Fri, 14 Jun 2024
Location: AIML

Jon spoke of the nature of consciousness and the prospects for conscious AI. An issue he raised is whether the ‘what-it-is-like’ of consciousness is a result of how brains process information or, by contrast, is a special material property of biological neural systems. If the former is true, we will have properly conscious AIs and robots in short order with all the ethical problems that raises.

AIML Special Presentation: Learning Spatial context-aware Global Visual Feature Representation for Instance Image Retrieval

Date: Fri, 21 Jun 2024
Location: AIML

In instance image retrieval, considering local spatial information within an image has proven effective to boost retrieval performance. It will be highly valuable to make ordinary global image representations spatial-context-aware because global representation based image retrieval is appealing thanks to its algorithmic simplicity, low memory cost, and being friendly to sophisticated data structures. This talk describes a novel feature learning framework proposed for instance image retrieval, which embeds local spatial context information into the learned global feature representations.

AIML Research Seminar: Real-time Prediction for Non-stationary Data Streams

Date: Tue, 25 Jun 2024
Location: AIML

This talk focused on one of the most challenging issues in non-stationary data streams, known as concept drift. Concept drift occurs when the pattern of data changes over time, making models trained on historical data less effective at predicting new data patterns. This inability to adapt compromises the performance of well-trained machine learning models. From the perspective of concept drift adaptation, this presentation will introduce three general strategies for updating learned models with newly arrived data, aimed at mitigating the impact of concept drift.

South Australian Research and Development Institute (SARDI) visit

Date: Wed, 3 Jul 2024
Location: AIML

AIML hosted the South Australian Research and Development Institute (SARDI) to explore collaborative opportunities to use AI/ML for the benefit of primary industries in South Australia. SARDI's research is divided across 3 key areas: Aquatic & Livestock Sciences, Crop Sciences, and Food Sciences.

AIML Incubator Presentation: Special Event

Date: Fri, 5 Jul 2024
Location: AIML

ThincLab is The ��˴�Ƭ's business incubator supporting students, alumni, staff and startups. They offer coaching and networking programs to enable start-up enterprises to capitalise on their ideas with a variety of industry experts.

��˴�Ƭ