We are extremely thrilled that our Chief Information Officer, Tan Shui-Min, was recently featured in an interview with GovInsider regarding NUS’ initiatives to use Virtual Reality (VR) and Artificial Intelligence (AI) for learning.
Robotic Process Automation (RPA)
Robotic process automation (or RPA) is a software technology that free your team from mundane, time-consuming, repetitive tasks so they can focus on higher-value work.
Forms & Flows
An online tool to create forms and automate workflows and tasks across multiple applications and services.
Web Publishing
Creating beautiful websites:
Build and customise every part of your website intuitively with a visual builder. Create flawless websites with custom positions, padding, margins, and global settings for colors & typographies.
eSignature – DocuSign
An electronic signature tool that can support you to obtain approvals and signatures for your contracts and agreements.
Online Collaboration – Miro
Miro is the online collaborative whiteboarding platform that enables distributed teams to work effectively together, from brainstorming with digital sticky notes to planning and managing agile workflows.
We won second place in Microsoft Singapore’s Power Apps Competition!
We are proud to celebrate that NUS IT has achieved second place in Microsoft Singapore’s Power Apps Hackathon Competition!
Cybersecurity Innovation, Trends & Insights Symposium 2021
On the 8th of June, NUS IT was invited to participate in the Cybersecurity Innovation, Trends & Insights Symposium 2021, jointly organised by CSA Singapore, NUS Enterprise and TNB Ventures.
We’ve been shortlisted for THE Awards Asia 2021!
We’ve been shortlisted by Times Higher Education for THE Awards Asia 2021 “Technological or Digital Innovation of the Year” for our work on uNivUS – an integrated platform that caters for essential information and services to unite the NUS community.
» Pushing HPC Beyond Traditional Boundary
Rikky Purbojati, Research Computing, NUS Information Technology, on 28 May 2021
In support of the AI/ML adoption into HPC folds, there needs to be a strategy with agility in mind when deciding any future scientific computing development. AI adoption in our digital economy has been increasing rapidly over the past few years. Starting from the re-emergence of Deep Learning application in the ImageNet challenge, the resulting key technologies and techniques have been embedded in and influenced many aspects of research.