Webinar Series: Cloud services to advance your research

[Lee Stott]

Discover how cloud services can help analyze, explore and share data that is key to advancing your research

Today more than ever, we have access to both a wide variety and unprecedented amounts of data. This is an exciting opportunity for researchers on a mission to advance scientific knowledge. To achieve this goal and extract insight from multiple, large data sets, you need both computing power and reliable and secure technical infrastructure.

You are strongly recommended to join our kickoff session on Day 1, then pick the specific Azure Solutions that you are interested in throughout the webinar series!

Day 1

January 18, 2021 10:00 AM - 12:00 PM | (GMT+08:00) Beijing, Chongqing, Hong Kong, Urumqi

Keynote address: Leveraging Microsoft Azure to make your Research Success, by Dr. Alexandros Papaspyridis, Dr. Tim Pan and Mr. Angus Tong
- The importance of leveraging cloud platform to make your research success
- Microsoft Research Asia’s capabilities on supporting Research and Joint Hong Kong research showcase
- Azure Case Studies in Research department of Hong Kong Higher Education Institutions
- Guest Speaker sharing: Prof. Seto - AI for Detection of Liver Cancer

Deep-dive session 1: Secure Big Data Storage & Share for Local & Global Research Collaboration, by Mr Angus Tong
- Research Success with Cloud Storage
- Solution Overview (Azure Storage, Azure Data Share, Azure Data Protection)
- Solution demo

Register now

Day 2

January 19, 2021 10:00 AM - 12:00 PM | (GMT+08:00) Beijing, Chongqing, Hong Kong, Urumqi

Deep-dive session 2: Get Just-in-time, Latest and Unlimited GPU Computing Power with Azure HPC and GPU, by Dr. Andreas Wilm and Dr. Auda Eltahla
- Research success with Azure HPC and GPU (with case studies)
- Azure GPU VM overview (NVIDIA Tesla V100 GPUs and M60 GPU)
- Azure batch for job scheduling and compute management
- Azure CycleCloud for HPC
- Support on any scheduler (like Slurm, Grid Engine, HPC Pack, HTCondor, LSF, PBS Pro, or Symphony) and solution demo

Deep-dive session 3: Develop Strong, Fair & Explainable Machine Learning Model with Azure Machine Learning Services, by Mr. Hugo To
- Research Success with Azure Machine Learning Services (with case studies)
- Solution overview on computing power for model training, model interpretation, fair learn and automated machine learning
- Solution demo

Register now

Day 3

January 20, 2021 10:00 AM - 11:00 AM | (GMT+08:00) Beijing, Chongqing, Hong Kong, Urumqi

Deep-dive session 4: Leverage Microsoft Pre-built AI model with Azure Cognitive Services, by Dr. Andreas Wilm and Dr. Auda Eltahla
- Sharing on success cases with Azure Cognitive Services
- Solution overview on computer vision, Text Analytics & NLP, decision making and AI searching
- Solution demo

Register now