Month: October 2023

Mahesh Krishnan AutoML(Automated Machine Learning) is a transformative technology that streamlines the process of developing machine learning models, making it accessible to a broader audience, including those with limited data science expertise. It leverages automation, optimization, and artificial intelligence to...
  • October 11, 2023
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Jeffrey Tay   The landscape of High-Performance Computing (HPC) has witnessed a remarkable transformation over the years, with an increasing demand for cloud-like services within traditional, on-premise HPC centers. Historically, HPC users have displayed commendable patience in accommodating scheduled downtimes...
  • October 10, 2023
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Kon Kakanis & Jake Carroll   The last 3 years has seen IT project challenged by uncertainty of demands as well as huge supply chain disruptions. We’ll discuss ways in which we’ve worked to meet the challenge of delivering large...
  • October 10, 2023
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Jasper Wang   In this session, we will walk through how Google AI & Generative AI services can be applied to address some pressing research challenges and how they can accelerate the research process. We will also discuss the security...
  • October 10, 2023
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AWS – Powering faster, greener, and more collaborative research   Dr Fabiana Santana   Innovation is key to increasing collaboration and creating solutions for faster and greener research.   Amazon Web Services (AWS) offers the broadest and deepest set of...
  • October 10, 2023
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Aleem Uddin, Greg D’arcy, Steven Manos, Mark Gray, David Powell, Paul Coddington, Jake Yip, Ping Chen Software containers and related technologies are trending in industry and in the research sector. The advantages to the research sector includes reproducibility, scalability and...
  • October 5, 2023
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