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.

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).

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

Semiconductor Digest published an article on SUTD researchers leveraging novel nanotechnology to control living cells over longer periods of time. This research was led by SMT Assistant Prof Desmond Loke and the team includes research fellows Denise Lee and Natasa Bajalovic, PhD student Maria Meivita and alumni, Sophia Chan and Lunna Li from SUTD. To read more, click here: https://www.semiconductor-digest.com/sutd-researchers-leverage-novel-nanotechnology-to-control-cells-over-long-periods/

In this talk we are providing some examples of industry application of Information Retrieval, including open domain IR, conversational and sentence classification.

Yan Shuo Tan (National University of Singapore) – Understanding and Overcoming the Statistical Limitations of Decision Trees