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.

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

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

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.

DH Asia Webinar Series: “The Tale of Genji: Where Traditional Research Meets Digital Technology” by Ayano Takeuchi

ISTD COIL Seminar by Adriel Kuek – This talk will provide an insightful glimpse into the world of defence R&D, shedding light into an often secretive industry and hopefully inspire aspiring graduates to consider a career in the Defence Technology Community.

Synopsis

We study whether humans trust an Artificial Intelligence (AI) when they are given the opportunity to teach the AI how to reciprocate the trust of a human being. The AI initially has four strategies to reciprocate trust: minimum reciprocity, slight reward for trusting, fair sharing of benefits, and generosity. Subjects can teach or unteach these