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Kuang Hao, Research Computing, NUS Information Technology, on 17 May 2022

Anomaly detection is widely used in behavioural analysis to determine the types of anomalies occurring in a given data set. In domains such as fraud detection, intrusion detection, fault detection and system health monitoring, anomaly detection helps to avoid system damages and potential financial breaches.

Following up on our last article posted in 2020, we will introduce an additional complex machine learning algorithm in anomaly detection and demonstrate how we can do that on our HPC cluster in this article.

Rikky Purbojati, Research Computing, NUS Information Technology, on 13 February 2022

The New Year comes with (continuing) challenges and opportunities. The global shortage of chips and the emergence of the Omicron variant still poses a considerable risk in terms of delays and missed targets. However, new technologies and the maturing of emergent technologies continue to provide more opportunities for researchers to do exciting things and potentially advance their research work.

Yeo Eng Hee, Research Computing, NUS Information Technology, on 13 February 2022

Have you ever wished to easily set up your own private HPC server in the cloud to run your computations without getting professional help?  And after you are done with your computations, destroy everything so that you do not have to pay for idle cloud resources?

Kuang Hao, Research Computing, NUS Information Technology, on 13 February 2022

The research into Deep Learning is growing at a rapid rate over the years. With more and more researchers stepping into the realm of AI, the need to use popular pre-trained models and packages increases as well.

This article introduces the newly installed language models on NUS HPC and demonstrates how to make use of them.

Wang Junhong, Research Computing, NUS Information Technology, on 13 February 2022

Many of you may face a common dilemma to understand how well your batch jobs are running once you submit them into the HPC system. Our AI-Trained Tool is here to help you.

Kumar Sambhav, Research Computing, NUS Information Technology, on 13 February 2022

MLOps is quickly emerging as a critical component for data science projects at the enterprise level. It helps organisations achieve their short and long term goals and generate value for the organisation. MLOps have become a successful data science strategy and has recently generated a lot of interest.