4th session: Data analytics and artificial intelligence on a supercomputer
The forth webinar of the series explored data and artificial intelligence (AI) with LuxProvide’s expert Luis Vela Vela, HPC senior solutions engineer.
Dr Vela started from the basics: data, a resource that is growing exponentially in volume. “If we’re not already drowning in an abundance of data, then we certainly will be in the future,” he said.
He then explained the meaning of AI, the relationships between the data and the vast palette of AI techniques that exist.
He also provided examples of AI applied to business with three concrete use cases:
- predictive maintenance
- natural language models
- reduced order models
5th session: HPC for health – journey experience testimonial
For the fifth webinar of the series, we invited PhD student Eleftheria Charalambous who shared her HPC journey in the biomedicine domain: how it started, the challenges she faced, the expectations she had, and the results she obtained. She clearly highlighted why using HPC was crucial for the success of her research and how much more she will need HPC in the future for achieving even more.
Finally, as a source of inspiration, she provided examples of how HPC can be used in the health field, highlighting applications she sees in the health sector beyond just biomedicine.
HPC for sustainable finance: Join us on 7 April!
At the next HPC Thursdays session on 7 April, we will see AI in action in the fintech, and in particular how to use it to recommit capital in private equity. Capital committed to private equity funds is irrevocable and expose investors to cash flow uncertainty and illiquidity. Recommitment strategies are still manually designed, which is a tedious and critical task.
Emmanuel Kieffer, research scientist at the University of Luxembourg, will illustrate how HPC can provide new opportunities in this field too.
He will speak about using reinforcement learning to discover reliable capital commitment policies, i.e., size and timing of capital calling, optimising returns and maintaining the targets of limited partner investors.