OUR THREE PATHWAYS
One platform.
Three ways forward.
Shared curiosity. Different questions. Each conference pathway goes deep enough to be useful to its own community.
AI for Science
From prediction to discovery.
AI can help explore scientific questions at new scales. The harder work is knowing which outputs deserve confidence, how to design the next experiment and how to reproduce the result.
Questions on the table
- Scientific foundation models and domain reasoning
- Materials, chemistry and engineering discovery
- Simulation, laboratory automation and experimental validation
- Research data, provenance and industry–university collaboration
Who it is for: Researchers, R&D leaders, scientific software teams, laboratories and industrial innovators.
Explore planned editions →AI for Drug Discovery
From promising molecules to better decisions.
Drug discovery needs more than a model score. This pathway brings AI methods into conversation with biology, chemistry, experimental validation and the economics of research.
Questions on the table
- Target identification and biological understanding
- Molecular design, screening and optimisation
- Translational evidence and model validation
- Data partnerships, IP and discovery collaboration
Who it is for: Biopharma and biotech leaders, computational scientists, discovery teams, CROs and investors.
Explore planned editions →AI for Business Adoption
From isolated pilots to useful capability.
For CEOs and teams across industries, the challenge is deciding where AI belongs, what to measure and how to bring people, processes and governance along.
Questions on the table
- Use-case selection and measurable business outcomes
- Agentic workflows and human accountability
- Data readiness, security and responsible deployment
- Skills, operating models and change management
Who it is for: CEOs, founders, business owners, functional leaders, transformation teams and technology partners.
Explore planned editions →