Events
Warut Suksompong (National University of Singapore) – Weighted Fair Division: Additive Preferences and Beyond
Towards intelligent analytics for smarter animal behavioural analysis
ISTD PhD Oral Defence Seminar by Ong Kian Eng – Understanding and analysing animal behaviours is crucial for gaining profound insights into the health, needs, and overall well-being of the animal. This involves measuring and monitoring factors such as size, growth, poses, and actions. The analysis of animal behaviour holds significant importance in a wide range of domains and industries, such as livestock farming, veterinary sciences, scientific research, ecological and conservation studies.
Congratulations to Associate Professor Liu Xiaogang’s PhD Student in winning the Royal Society of Chemistry (RSC) Excellent Student Award
He was honored with the “Winner of RSC Excellent Student Award” by the Royal Society of Chemistry (RSC) this September. This award recognizes his academic excellence in leveraging computational chemistry to facilitate interdisciplinary research and his contribution to promoting diversity, equity, inclusion, and respect (DEIR) within the scientific community.
Future-Ready Society Conference Series: Learning Journey 4 – How to Design Systems that Harness Collective Intelligence
Collective intelligence is created when people collaborate, often with the aid of technology, to gather and utilise diverse information, ideas and perspectives to tackle complex social challenges. In this learning journey, participants will explore such innovative methodologies from two real-life examples.
The Collective Intelligence Design Lab of MIT’s Center
DH Asia Webinar Series: “A Sandbox for Humanistic Data Scientists” by Dr. Setsuko Yokoyama
DH Asia Webinar Series: “A Sandbox for Humanistic Data Scientists” by Dr. Setsuko Yokoyama
Modern portfolio construction with advanced deep learning models
ISTD PhD Oral Defence Seminar by Joel Ong – We explore the modern application of deep learning techniques in portfolio construction, presenting innovative methodologies that significantly enhance traditional investment strategies. Central to this research are three advanced frameworks that leverage deep learning to optimize financial portfolios.
It's all in the mix: Wasserstein machine learning with mixed features
It’s all in the mix: Wasserstein machine learning with mixed features
Sparsity in text-to-speech
ISTD PhD Oral Defence Seminar by Perry Lam – Neural networks are known to be over-parametrised and sparse models have been shown to perform as well as dense models over a range of image and language processing tasks. However, while compact representations and model compression methods have been applied to speech tasks, sparsification techniques have rarely been used on text-to-speech (TTS) models. We seek to characterise the impact of selected sparse techniques on the performance and model complexity.
DH Asia Webinar Series: “Recreating Chinese Mythical Creatures in the Digital Age” by Dr. Kaby Wing-Sze Kung
DH Asia Webinar Series: “Recreating Chinese Mythical Creatures in the Digital Age” by Dr. Kaby Wing-Sze Kung
The Design Ethics of Autonomous Machines
In this presentation, I describe and explain why ethics has become even more salient as autonomous machines move out from factories and laboratories into the open, complex and unpredictable environment of cities.
