Hartree National Centre for Digital Innovation
Enabling UK businesses and the public sector to explore and adopt innovative new digital technologies including AI and quantum computing for productivity, innovation and economic growth.Learn More
Harnessing the power of AI in drug discovery and precision medicine
The Hartree National Centre for Digital Innovation joins forces with Reprocell to test drug efficacy in human living tissues using expertise in artificial intelligence and machine learning.Read More
How can digital twins enhance climate resilience?
Can digital twins help us tackle the effects of climate change? The Climate Resilience Demonstrator aims to find out, using connected data and virtual modelling to enhance the reliability of energy, telecoms and utilities services under extreme weather conditions.Read More
Learn with us
View our upcoming training courses, watch webinars and find out about our self-learning opportunities.Read More
Hartree Centre at Supercomputing 2022
A team of nine staff from the Hartree Centre joined colleagues from Scientific Computing and Digital Infrastructure alongside 11,830 international attendees and 361 exhibitors to represent STFC at this year’s Supercomputing 2022 Conference (SC22) in Dallas, Texas.
Beginner’s Guide to Cloud for Industry
Our Beginner’s Guide to Cloud for Industry course will guide you through what cloud computing is in plain, accessible language. We’ll cover the different offerings available from the main cloud vendors, current and future trends, and the pros and cons of hosting applications in the cloud.
Practical Guide to Cloud: Onboarding with Azure
This course gives you the opportunity to secure the knowledge learned in the Beginner’s Guide to Cloud for Industry with a practical hands-on tutorial led by experts. You will implement the theory you have previously learned to deploy virtual machines and containers to further cement your understanding of fundamental cloud concepts.
Beginner’s Guide to Artificial Intelligence
We will walk participants through the basic concepts of machine learning, artificial intelligence and their applications and discuss its relationship with data science while covering machine learning algorithms and tips of how to handle bias in AI.