NUS Bug Bounty Challenge 2021
NUS Bug Bounty Challenge 2021 https://youtube.com/watch?v=H6ltAg_-yvs The NUS Bug Bounty Challenge is back! Similar to
NUS IT Security Slogan Crowdsourcing
NUS IT Security Slogan Crowdsourcing Join our crowdsourcing campaign to identify a tagline (slogan) that
Ms Tan Shui-Min, CITO of NUS, was a panellist at the CIO ConnectGov Leaders Summit
We are pleased to share that that our Chief Information Technology Officer, Ms Tan Shui-Min, was one of three distinguished panelists at the CIO Academy Asia’s annual flagship summit, ConnectGov Leaders Summit 2021!
NUS Nursing Studies with VR – ‘Best Use of Emerging Technologies’ in the CIO INSPIRE Tech award!
We are proud to announce that our in-house developed “Nursing studies with VR” has been selected as the winner for the ‘Best Use of Emerging Technologies’ award category in the CIO Academy Asia’s inaugural 2021 INSPIRE Tech Awards!
Ms Tan Shui-Min, CITO of NUS, has been honoured on the Singapore 100 Women in Tech List 2021!
We are proud to announce that our Chief Information Technology Officer, Ms Tan Shui-Min, has been honoured on the Singapore 100 Women in Tech List 2021!
» HPC-AI & The New Normal: Self-swab ART Image Recognition System
Rikky Wenang Purbojati, Research Computing, NUS Information Technology, on 13 October 2021
Much has been said about the convergence of HPC and AI in recent years. However, the emergence of the Covid19 pandemic had possibly kicked the convergence and its translational application into full gear. HPC-AI technology has been involved in every step of humanity’s effort to answer the most critical global challenge yet, climate change notwithstanding. While the long-term impact and trajectory remains to be seen, it is undeniable that the advances in computing technologies (and other scientific fields) have allowed the responses to be swift and laser-focused.
» Ai-Aided Tools for Research
Ku Wee Kiat, Research Computing, NUS Information Technology, on 13 October 2021
Do you ever have the need to extract text from article scans, or data from invoices/receipts? Are you dealing with small tabular datasets with sensitive information that requires more data? Do you have a low-resolution or poor-quality image but want something of a higher quality or resolution? In this article, we will look at some Python-based AI-aided tools and libraries that might be useful for your research
» Introduction to Information Extraction
Kuang Hao, Research Computing, NUS Information Technology, on 13 October 2021
Working with an enormous amount of textual data is always hectic and time-consuming. Hence many companies and organizations make use of Information Extraction (IE) techniques to automate the process. Information Extraction is the task of automatically extracting structured information from unstructured documents. In most of the cases, this activity concerns processing human language texts by means of natural language processing (NLP). In this article, we will introduce common subtasks in information extraction and how to make use of opensource tools for those tasks.
» Machine Learning in Finance
Kumar Sambhav, Research Computing, NUS Information Technology, on 13 October 2021
Some of the most effort-intensive tasks within the financial services and applications have been managing assets, evaluating levels of risk, calculating credit scores, and even approving loans. The amount of data that has to be scoured, read and understood is humongous and humanly impossible and even if it is done with extensive care, it might not fetch proper results. Machine Learning models thus come in handy for such tasks as, instead of us humans doing the processing, we let computer programs handle it for us.
» Running Your Own Software in Central HPC-AI System
Wang Junhong, Research Computing, NUS Information Technology, on 13 October 2021
The software hosting service allows researchers to host licensed software and tools in the central HPC-AI system. This enables the users to have some flexibility when it comes to having large and long simulations performed within the high-performance computing facilities. It also improves productivity by supporting more simulations which could be executed concurrently by all eligible team members.