Events
Leveraging out of distribution testing to build robust machine learning systems
ISTD PhD Oral Defence Seminar by Sai Sathiesh Rajan – This dissertation serves to remind us of the importance of thoroughly testing machine learning models before deploying them as they can cause societal, economical and reputational damage.
Detecting concurrent bugs in Go via capture and replay
ISTD Seminar by Martin Sulzmann – Prof Martin will survey the state of the art in the area of controlled concurrency (CCT) testing for Go to explore schedules that reveal panic and blocking bugs, and discuss several new novel aspects such as the ability to perform controlled replay of programs to guarantee that new schedules are actually explored in this seminar.
Beyond scale: efficient pre-training and controllable post-training for language models
ISTD PhD Oral Defence Seminar by Zeng Guangtao – Language models are foundational to modern artificial intelligence, but their development is often constrained by challenges in efficiency, controllability, and reasoning. In this thesis, we aim to address these limitations by introducing advanced paradigms at both the pre-training and post-training stages.
Symposium on AI + Future of Architecture Practice & Education
We are pleased to invite you to the 2025 Symposium on AI + The Future of Architecture Practice & Education, with guests Dr Gerhard Schmitt, Dr Jeffery Huang, Dr Anupama Kundoo and Dr Philip F. Yuan.
The poet as experiencer 鈥 poetic consciousness and nonhuman intelligence
HASS Talk by Adam Staley Groves – Presenting his recent monograph, The Poet as Experiencer: Wallace Stevens and Nonhuman Intelligence聽(Punctum Books, 2025) which proposes modernist poet Wallace Stevens as a perceiver of nonhuman intelligence (NHI).
Context-aware perception in adverse conditions
ISTD PhD Oral Defence Seminar by Tan Yu Xiang – Adverse conditions such as rain or murky water environment, significantly impacts various perception tasks. In rain conditions, the images captured are easily corrupted by both raindrops on the lenses and lens flare. Meanwhile in turbid underwater conditions, the murkiness reduces the contrast and saturation of the image. To tackle these problems, we utilise contextual information to improve robustness of perception algorithms.
Analysis and synthesis of audio with AI: from neurological disease to accented speech and music
ISTD PhD Oral Defence Seminar by Jan Melechovsky – In the modern era, new technology is opening opportunities to help various groups of people around the world. In this thesis, deep learning and audio processing is utilized to target the needs of and develop specific applications for patients with progressive neurological diseases, speakers of non-native English accents, and amateur and leisure musicians and music enjoyers.
Beyond optimal methods for minimax optimisation
ESD Seminar by Chengchang Liu – This talk will introduce several novel methods that achieve even faster convergence rates or better computational complexities compared to various optimal methods by effectively incorporating curvature information and leveraging the min-max structure.
Time-sensitive AI systems for physical agents: from DNN perception to LLM planning
ESD Seminar by Neiwen Ling – Research on developing time-sensitive AI systems, focusing on Deep Neural Network (DNN)-based perception and LLM-driven planning will be presented in this talk.
Linux under the hood: powering everything from your laptop to the cloud
ISTD COIL Seminar by Norman Hsu Chen-Wei – A brief, engaging introduction to Linux as the powerful, often unseen operating system behind much of the digital world.
