Ada Lovelace Centre
The Ada Lovelace Centre (ALC) is a multi-disciplinary centre of expertise in research, software engineering and data management, enhancing the scientific impact of STFC’s large-scale national facilities.
The ALC uses integrated approaches to address and solve scientific data challenges by:
- Improving how data is handled and processed within STFC facilities to extract greater scientific value and enhance understanding
- Coordinating activities across facilities to exploit cross-cutting opportunities in scientific computing
- Building and maintaining software and data infrastructure capabilities for facilities
- Forming a critical mass of staff and skills aligned to the scientific data challenges of the large facilities
- Supporting research and development activities in software engineering, data management, computational and AI methods and simulation
ALC represents an exciting opportunity to help further expand links to and across the STFC national facilities, drive new research and development to meet emerging needs, and ultimately make a significant and transformative impact on the broad range of science at the facilities.
Dr Paul Quinn, Director, Ada Lovelace Centre
News spotlight
New AI Project Could Transform How Experimental Science is Done in The Lab
New AI Project Could Transform How Experimental Science is Done in The Lab
Imagine a world where experiments can run faster, smarter, and even partly on their own. That’s exactly what a new UKRI-STFC project is aiming to do—by using artificial intelligence (AI) to help run experiments and make sense of huge amounts of scientific data.
Led by STFC’s Ada Lovelace Centre (ALC), the Autonomous Laboratories project brings together experts from STFC Scientific Computing, Diamond Light Source, and the Physical Sciences Data Infrastructure Programme (PSDI). With almost £125,000 of funding from EPSRC’s AI for Science grant, the research team is working on ways to use AI to change how experiments are performed, sorting information and making smart decisions during experiments and improve how scientists analyse results.
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