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HASS Colloquium Series: Supplying Colors and en-Route Science: German Synthetic Dyestuffs in Modern China in the Early 20th Century by Ms. Lejie Zeng
At the turn of the 20th century, the German organic chemical industry began exporting coal tar-based synthetic dyestuffs to China.
Congratulations to Associate Professor Lu Wei and his team for their successful launch of new AI Model “TinyLlama”
Congratulations to Associate Professor Lu Wei and his team for their successful launch of new AI Model “TinyLlama”
ESD Research Seminar by Ali Kavis – Adaptive and robust optimisation algorithms for large scale machine learning
ESD Research Seminar by Ali Kavis – This seminar will investigate the shortcomings of classical approaches and explore how data-driven, adaptive mechanisms could help in theory and application.
KOH Marcus
Research Associate
ESD Research Seminar by Mingmei Li & Benjamin Tan – Presentations by the Aviation Studies Institute
ESD Research Seminar by Mingmei Li & Benjamin Tan – ASI will present two topics, “Estimating Hub Traffic Share on the ‘Kangaroo Route’ via an Aggregate Itinerary Choice Model” and “Air Traffic Delay Propagation and Root Cause Identification through Trajectory-Based Optimisation Analysis”.
DAI Pengcheng
Research Fellow
Feng Ling (A*STAR) – Optimal Machine Intelligence at the Edge of Chaos and Initial Applications to Model Training
Feng Ling (A*STAR) – Optimal Machine Intelligence at the Edge of Chaos and Initial Applications to Model Training
ESD Research Seminar by Howard H. Yang – Federated learning over the air: A tale of interference
ESD Research Seminar by Howard H. Yang – This talk aims to present the current research efforts on the development of implementing distributed machine learning algorithms in wireless systems.
ESD Research Seminar by Themis Gouleakis – Beyond worst-case: The rise of learning-augmented online algorithms
ESD Research Seminar by Themis Gouleakis – Online algorithms are traditionally analysed in adversarial worst-case settings, leading to guarantees that often fail to capture practical performance. The emerging framework of learning-augmented algorithms integrates machine-learned predictions into online decision making while preserving rigorous guarantees.
ESD Research Seminar by Caroline Chaux – Unrolled networks in signal and image processing
ESD Research Seminar by Caroline Chaux – In this talk, we will be interested in inverse problems arising in the signal and image processing field. Solving such problems imply in a fist time to formalise the direct problem by understanding the physics behind and in a second time, to solve the associated inverse problem, through a variational formulation, that is, solving an optimisation problem.