SUTD led research in a 3D printed optical security label with nano-sized features. It taps on ambient light sources and is harder to crack due to its 33100 possible combinations.

Jason Altschuler (Massachusetts Institute of Technology) – Computing Wasserstein barycenters: easy or hard?

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.

Lavanya Marla (University of Illinois at Urbana-Champaign) – Greedy Policies and Penalized Information-Relaxation Bounds for EMS: Allocation and Performance Assessment

The High Performance Computing in Science and Engineering course aims to enable students to operate effectively on high performance computers.

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

From theatre and music to fashion and architecture, artificial intelligence is supercharging creative work, even as ethical concerns mount