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ESD Research Seminar by Urban Larsson – The fundamental theorem of normal play
ESD Research Seminar by Urban Larsson – Combinatorial Game Theory is the branch of Mathematics and Computer Science that studies two-player games with perfect and complete information; there is no chance, and there are no hidden moves.
3rd Place Winner at 2023 TigerLaunch Singapore
ESD Research Seminar by Karthyek Murthy & Dai Gengling – Presentations by the Aviation Studies Institute
ESD Research Seminar by Karthyek Murthy & Dai Gengling – Two presentations will be held by ASI, “Leveraging Real-Time Arrival Forecasts to Improve Air Traffic Flow Management” and “Air Traffic Flow Capacity Analysis in Southeast Asia with Passenger-Centric Flow Optimisation”.
Six SUTD Faculty, Alumni and Student in Forbes 30 Under 30 Asia Class of 2023
Six SUTD faculty, alumni and student join the 300 outstanding young trailblazers of Forbes 30 Under 30 Asia Class of 2023.
Programming with Robots: A Hands-on Experience – by Assistant Professor Malika Meghjani, ISTD
Through this one-day workshop taught by ISTD faculty, Assistant Professor Malika Meghjani, participants were taught the fundamentals of simple programming using Ardunios to code a simple differential drive robot.
GROMYKO Dmitrii
PhD Student
Dr Rhema Hokama publishes new book Devotional Experience and Erotic Knowledge by Oxford University Press
How do big ideas transform the way that we live our everyday lives? And can the poetic production of a period tell us about how ordinary people understood their most important relationships? These questions lie at the heart of Devotional Experience and Erotic Knowledge (Oxford University Press, 2023), a new book written by Dr. Rhema Hokama, assistant professor of English literature in the Humanities, Arts, and Social Sciences (HASS) cluster at Singapore University of Technology and Design (SUTD).
Bryan Low (AI Singapore) – Learning with Less Data: Automated Machine Learning and Bayesian Optimization
In this talk, I will briefly describe our research efforts on learning with less data and automated machine learning. Then, I will discuss in greater detail on one of such efforts: Bayesian optimization (BO), specifically, in how we have progressed from tackling some of the fundamental challenges/issues in BO to applying BO to more complex blackbox optimisation problems.
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