Latest events

AI on the Ground Seminar: Translating an AI algorithm for antenatal hydronephrosis

Miguel Balbin — Fri, 02 May 2025 11:44:42 +0930

Antenatal HN is the most common congenital anomaly, affecting up to 5% of pregnancies and identified as a dilatation of the urinary tract on prenatal imaging. While the majority of cases are physiologic and self-resolving, a subset necessitate surgical intervention. Currently, infants are monitored with serial ultrasounds and may undergo invasive and burdensome investigations, including catheterisation and radionuclide imaging, which contribute to patient distress and healthcare costs.

AIML Special Presentation: Meaning and Intelligence in Language Models — From Philosophy to Appropriate LLM Responses

Miguel Balbin — Mon, 05 May 2025 14:38:39 +0930

Language Models have been around for decades but have suddenly taken the world by storm. In a surprising third act for anyone doing NLP in the 70s, 80s, 90s, or 2000s, in much of the popular media, artificial intelligence is now synonymous with language models. In this talk, Prof Chris Manning will take a look backward at where language models came from and why they were so slow to emerge, a look inward to give some thoughts on meaning, intelligence, and what language models understand and know, and a look at some recent work on steering language models to respond well to people’s questions and commands.

AIML Research Seminar: Sensing and Lasing with Multimode Fibre Optics

Miguel Balbin — Wed, 07 May 2025 13:51:31 +0930

When light propagates in multimode optical fibres, it is confined in many orthogonal modes whose transverse profiles are propagation-invariant. This high dimensional modal space allows great flexibility in processing the output information, as well as controlling the input information for various purposes. In this talk, I will discuss a coherent suite of topics including (i) processing the output information from a multimode fibre in the context of sensing using machine learning, (ii) controlling the input information into multimode fibre as a mean of tailoring the output for laser applications, and (iii) the introduction of physical neural network, an emerging field in complex optics toward realisation of energy-efficient and low-latency machine learning.