We often use stochastic descriptions to model complex systems. Many of our projects involve kinetic Monte Carlo, agent-based models and multiscale modeling. A reoccurring theme is how to leverage distributed e-infrastructure for simulations and how to use machine learning to construct approximations.
A theme in the group is the use of artificial intelligence and machine learning to make software and infrastructure intelligent, interactive and scalable. We also do disciplinary research into specific areas of ML, such as likelihood-free inference and federated ML.
Our research on e-Infrastructure and data engineering ranges from development of new ways to manage large and fast data to massively parallel, interactive and cloud native applications, to management and scalability of cloud and edge infrastructure.
The group participates in the eSSENCE strategic initiative on eScience, focusing on eScience tools and technologies.
Scaleout Systems is a spin-off from the group, focusing on privacy-preserving AI and cloud-native machine learning.
@AndrewYNg AI decentralization. The current paradigm favors size, large companies able to collect the largest datasets and build large models. Current frontrunners will accelerate their lead and increasingly take over our lives if we don’t develop the alternatives.
#federatedlearning
Recommended read as always, and I’m happy to see federated learning popping up 👍 https://twitter.com/nathanbenaich/status/1279856757494484994
And we're live with Your Guide to AI: June 2020. Have a read of the issue and sign up here:
http://newsletter.airstreet.com/issues/your-guide-to-ai-june-2020-261645
I have a joke about privacy-preserving machine learning, but I cannot share it
I'm editing a Topical Issue of EPJE with @sknepnek, Moumita Das, Karsten Kruse on Advances in Computational Methods for Biological Physics. Please consider submitting! Call for papers: https://www.epj.org/open-calls-for-papers/101-epj-e/1988-epje-topical-issue-advances-in-computational-methods-for-biological-physics
I am very happy to welcome Andreina Francisco as a Postdoc in my team, with a project to develop AI methods for decision making in automated biological laboratories. Read an interview with Andreina on: https://pharmb.io/blog/andreina-new-postdoc/
