Events
Building Machine Learning Solutions: A Working Backwards Approach
Abstract Working Backwards is Amazon’s process of discovery and invention that delivers customer delight. Whether it is research or product building, at the Generative Al Innovation Center, AWS, we take a working backwards approach starting with the user/customer. This talk will discuss the different stages of this working backwards approach to research and building a production ready machine learning (ML) solution.

Digitalisation and You
In this sharing, the Digital Engineer from the Republic of Singapore Air Force (RSAF) will be giving you an insight to the application of Digital Technologies in the RSAF.

GPT-Legal (Long Text Summarization)
GPT-Legal (GPTL) is strategically poised to elevate the capabilities of LawNet, a widely endorsed platform that serves as the cornerstone for legal research for an impressive 75% of Singapore’s legal practitioners.
Fortifying Email Security though Email Authentication
The sharing will delve in email threats with the local landscape, illustrating the various challenges and vulnerabilities faced.
Introduction to fluid simulations based on the Wave Equation
The lecture provides a brief overview of partial derivatives, scalar & vector fields, as well as applying operators on them. Using the Wave Equation, it is demonstrated through a practical example how a partial differential equation can be numerically solved on the GPU to achieve a water simulation.

DH Asia Webinar Series: “Locating Digital Archives for An Indian Digital Commons” by Dr. Maya Dodd
DH Asia Webinar Series: “Locating Digital Archives for An Indian Digital Commons” by Dr. Maya Dodd

Technical Challenges in Autonomous Driving
There has been a lot of technical advances in autonomous driving technology since the 2007 DARPA Urban challenge. The gaps to a wide-scale commercial deployment have certainly narrowed in the past 17 years. Unfortunately, these gaps remain. The benefits to society remain clear, especially for fast growing cities.

Caroline Chaux (International Research Laboratory on Artifical Intelligence (IPAL)) – Unrolled Networks in Signal and Image Processing
Caroline Chaux (International Research Laboratory on Artifical Intelligence (IPAL)) – Unrolled Networks in Signal and Image Processing


Qiang Huang (University of Southern California) – Infer and Control Effects of Lurking Variables for 3D Printing Quality Control
Qiang Huang (University of Southern California) – Infer and Control Effects of Lurking Variables for 3D Printing Quality Control


Max Li (University of Michigan) – Data-Driven Modeling and Optimization Methods for Current and Future Airspace Users
Max Li (University of Michigan) – Data-Driven Modeling and Optimization Methods for Current and Future Airspace Users
