🚨 Last Call: MLx Cases (OxML) — registration closes tomorrow

[Oxford Machine Learning (OxML)]

Dear all,

This is a quick last call for MLx Cases, part of OxML 2026 — registration closes tomorrow, 24 April.

MLx Cases is a hands-on, engineering-driven module focused on building end-to-end AI systems in practice. The emphasis is not only on models themselves, but on the surrounding challenges that increasingly matter in real-world ML systems: evaluation, tool use, multi-step behaviour, constraints, and surfacing failure modes early.

Dates: 7–9 & 15–16 May
Format: Online

Practical case studies include:

• building a CNN for image classification
• building a diffusion model
• building a MiniGPT
  
• running open-source AI agents
  
• building AI systems that reason, act, and evolve
  

Speakers:

• Davide Eynard (Mozilla AI)
  
• David de la Iglesia Castro (Mozilla AI)
  
• Jialin Yu (University of Oxford)
  
• Noor Sajid (Harvard University)
  
• Sizhe Yuen (The Alan Turing Institute)
  
• Xin Eric Wang (UC Santa Barbara / Simular AI)
  
• Peter Gostev (Arena AI)

More information and registration: oxfordml.school

Best wishes,  
The OxML Team