Rikky Purbojati, Research Computing, NUS Information Technology, on 17 April 2023

Miguel Dias Costa, Research Computing, NUS Information Technology, on 17 April 2023

Rikky Purbojati, Research Computing, NUS Information Technology, on 24 May 2022

Ku Wee Kiat, Research Computing, NUS Information Technology, on 11 May 2022

Wang Junhong, Research Computing, NUS Information Technology, on 6 June 2022

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.