The AI4N summer school delivers a unique opportunity over 2-days for leaders and project teams to learn, network and engage. The conference will ‘new skill’ individuals in artificial intelligence to enable this technology to be exploited fully by the nuclear industry.
The conference begins with a specially created online AI pre-learning course, and a series of case study webinars in the build up to the in-person school. The two ‘in-person’ days on 17 and 18 July, will be held at the exceptional STFC Hartree Centre, a cutting-edge research facility with AI expertise, and will provide our learners with expert theory as well as hands-on opportunities to hack real problems and learn from the outcomes.
We are delighted to have the School opened by Dimitris Perdikou, Government Chief Engineer, Department for Science, Innovation and Technology, who leads the engineering across all government departments. A welcome address will be given by Dr Mark Bankhead, UKNNL and Chair of AI4Nuclear.
The conference is suitable for Leaders and AI practitioners that have nuclear experience but limited AI knowledge or experience, as well as those with some AI experience but have limited nuclear knowledge.
Leaders will attend Track 1 – Enhanced Leadership in Nuclear with AI, delivered by industry expert David Smeatham, Independent Engineering and Regulatory Consultant, Ennuvo Limited. This stream will focus leaders on how to apply AI to solve challenges within their organisations. The hackathon will dive into innovation led approaches to overcome organisational and practical barriers to enabling AI within nuclear organisations.
Day 1
- Effective governance of AI
- Group workshops – case studies with guided SWOT analysis
Day 2
- Barriers and opportunities - collaborative exercises
- Enhancing your leadership - enabling your learning
AI practitioners will attend Track 2 - Unlocking AI for Engineering Excellence delivered by renowned Prof Nawal Prinja and the STFC Hartree Centre team. This track will unlock your potential to apply AI within the nuclear sector to de-risk engineering projects.
Day 1
- Hands-On AI Tools: Overview of the workshop toolchain Anaconda, Python, TensorFlow, Pandas, Jupyter Notebook and scikit-learn. Learn how to preprocess data, build models, and evaluate performance.
- Practical Applications: Few simple examples to run and learn. Explore real-world examples: Go through some engineering examples.
- Extracting Value from Data: Classification and establishing trends
Day 2
- Data preprocessing: Data wrangling to clean, transform, and enrich your datasets. Feature engineering: Uncover hidden patterns.
- Hands-on exercises: Implement AI algorithms. Collaborative projects by working in teams to solve engineering challenges.
- Physics Informed Neural Network (PINN): Show how physics can be added to neural networks to solve engineering problems that comply with the laws of physics.
Delegates will also benefit from:
- Full access to online pre-learning to help you recognise and enhance your current competencies in AI
- Digital Open Badge from the STFC Hartree Centre on completion
- Online case study sessions, providing practical examples of how AI is already being used effectively
- Networking reception at the Village Hotel, Warrington on the evening of Day 1, giving individuals and teams the opportunity to discuss and learn from each other.
The programme will be CPD certified by the CPD Certification Service.
David Smeatham has over 20 years’ experience as a regulator and a track record of unlocking regulatory and policy challenges for vendors, licensees, regulators, and government. He started his engineering career over 40 years ago as an apprentice electrician in the nuclear sector in the UK. Since then, he has worked in academia, defence electronics and health and safety regulation. In recent years he has provided advice on nuclear regulation to government and set up an innovation hub in the UK’s nuclear regulator. He is the founder of Ennuvo, and works collaboratively with multiple stakeholders to provide advice on the regulation and deployment of new technology and innovation including in the nuclear and broader energy sector.
Professor Nawal Prinja has 43 years of academic and industrial experience in the nuclear civil and defence sectors. He has held the positions of Technology Director of Amentum (Clean Energy) and Honorary Professor at four British universities (Aberdeen, Brunel, Bangor and Bolton). He is an expert on codes and standards and has been working on Harmonisation of Nuclear Codes for over 10 years. He has been on IAEA missions to China, South Africa, UAE, Spain and Poland and is a member of their AI Working Group. He was appointed as an advisor to the UK Government to help formulate their long-term R&D strategy for nuclear industry and was a member of the Fusion Advisory Board of UKRI. He chaired a Technology Focus Group on Artificial Intelligence in Science and Technology Advisory Group of Ministry of Defence, participates in a number of international committees and represents the UK at the Senior Industry Advisory Panel of the Generation IV International Forum for next generation of nuclear reactors. He was awarded the IMechE Donald Julius Groen 2022 prize for an outstanding contribution to the advancement of pressure systems technology.
Dr Yaji Sripada is a Senior Lecturer in Computing Science at the University of Aberdeen. He is one of the founders of Arria (www.arria.com), a company specialising in natural language-based AI technology. His research brings together ML/data science, knowledge-based programming, natural language technology and information visualization (InfoVis). He is an inventor on several US patents related to natural language-based AI technology.
This event is organised by the Nuclear Institute’s Digital SIG sub-group, AI4 Nuclear, led by Dr Mark Bankhead.
| Member Type |
Cost (excl VAT) |
| Early Bird (20 available) |
£315 |
| NI Member |
£400 |
| YGN Member |
£355 |
| Non-Member (Join and save) |
£510 |
| Student Member* |
£175 |
| Student Non-Member* (Join and save) |
£260 |
* To be considered for a student place please email your course details to events@nuclearinst.com
This event provides a unique opportunity to address key decision-makers, leaders, budget holders and AI practitioners. You can showcase your expertise, exhibit your products and network with like-minded individuals.
Sponsorship for this key event is limited and the following packages are available by contacting events@nuclearinst.com and we also welcome a discussion about tailoring a package to suit your needs.
Sponsorship Brochure