Events
Talk: “A Global Approach to Soundscapes: Reconsidering Environmental Human Rights”
Synopsis
Noise is a serious global problem that requires international cooperation. Consequently the United Nations and many governments around the world are establishing new regulatory schemes to limit unwanted sound. Despite this trend, few scholars have examined the phenomenon from a global perspective to observe problems with enforcement of these laws. While regulating excessive levels of noise
LKY CIC Brown Bag Lunchtime Talk: “Future-Ready Urban and National Food Systems in an Era of Polycrisis”
Synopsis Using the conceptual frame of the “polycrisis”, we will harness foresight methodologies to look over the horizon at emerging issues and the
Future-Ready Society Conference Series: The Future is Local?
Should future societies be more local, self-organised and focused on contributing to commonly shared wealth? If goods and services a community
LKY CIC Brown Bag Lunchtime Talk: “Impact of Study Abroad Experiences on Chinese Engineering Students’ Employability”
China is one of the leading provider countries for U.S. engineering students.
Vincent Oh (AWS) – Build with Generative AI on AWS
Join this session to see how to use generative AI for a range of tasks such as code generation, chatbots, text generation, search, image generation, and personalisation.
Karthyek Murthy & Dai Gengling (Singapore University of Technology and Design) – Presentations by the Aviation Studies Institute
Karthyek Murthy & Dai Gengling (Singapore University of Technology and Design) – Presentations by the Aviation Studies Institute
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.
2023 ESD DBA Project Showcase
2023 ESD DBA Project Showcase
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.
Marie Kratz (ESSEC Business School) – Building up Cyber Resilience by Better Grasping Cyber Risk via a New Algorithm for Modelling Heavy-Tailed Data
Marie Kratz (ESSEC Business School) – Building up Cyber Resilience by Better Grasping Cyber Risk via a New Algorithm for Modelling Heavy-Tailed Data
