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.
Yeo Eng Hee, Research Computing, NUS Information Technology, on 13 October 2021
There is a long list of application software that are currently installed in our HPC-AI systems. As our user base grows, we see a potential issue in keeping up with the growing number of software that our users need. One solution is to let the users bring in their own applications and run it in our HPC-AI clusters and a way to do this in a consistent manner is to use containers.
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.
An online tool to create forms and automate workflows and tasks across multiple applications and services.
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.
An electronic signature tool that can support you to obtain approvals and signatures for your contracts and agreements.
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.
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.
Kumar Sambhav, Research Computing, NUS Information Technology, on 28 May 2021
Data science is an extensive field which touches base with so many use cases that makes it difficult to describe its capabilities just by using the term itself. Data science provides important tools to allow us to gain insights into, sometimes humanly unfathomable datasets.
Machine learning allows data scientists to make predictions based on past knowledge. This attribute of machine learning comes in handy when doing analyses for cybersecurity as most of the cybersecurity use cases are based on the need of learning from past patterns or behaviors.
Teo Hoong Chen and Prof Koh Lian Pin, Researchers in the Centre for Nature-based Climate Solutions, on 28 May 2021
Reforesting degraded lands is one of the most promising nature-based climate solitions (NCS), with over 850 million hectares of reforestation potential worldwide. Proponents of reforestation point to the importance of forests in intensifying the hydrological cycle, increasing precipitation recycling and water yield. However, studies also show that reforesting drier regions can increase evapotranspiration and reduce the water yield, negatively impacting the local ecosystem and communities.
