Don't stop talking about Iran #IranMassacre #Iran #IranianRevolution2026

Don’t stop talking about #Iran. They died so tyranny could end — we must not look away. #IranMassacre

Most people are learning how to prompt. Very few are learning how models actually work. That gap will define careers. At OxML 2026 — MLx Cases, we build a MiniGPT from scratch. Transformer architecture. Training & scaling. Tokenisation. Inference trade-offs. #OxML

Education should never be interrupted by repression. Today, AI for Global Goals launches the Crisis Access Scholarship – Iran for the OxML 2026 cohort. The scholarship provides a full waiver for the online components of the programme to exceptional applicants whose education has

Proud to launch the Crisis Access Scholarship for Iranian talents to attend #OxML2026. As an Iranian founder, this initiative is deeply personal to me. Wishing everyone equal and fair access to education. Apply: forms.gle/QSG3a1PVjcRBt8… #IranMassacre #Iran #AIforgood #OxML

Foundation models didn’t replace fundamentals — they scaled them. The people who move into research and system-level roles aren’t just using models. They understand how they learn, optimise, and fail. At #OxML2026 — #MLxCases, we build from first principles. User → Builder.

We’re excited to share the speaker lineup for MLx Representation Learning & Generative AI at OxML 2026. MLx Representation Learning & Generative AI explores the latest advances in representation learning and the rapidly evolving landscape of generative AI and frontier models.

Oxford Machine Learning School (OxML) returns for its 7th edition in 2026, bringing together leading researchers and practitioners in artificial intelligence and machine learning. The programme offers advanced, research-driven courses taught by world-class AI scientists and

Looking back at OxML 2025 – MLx Representation Learning & Generative AI. A week filled with inspiring lectures, engaging discussions, and meaningful connections. With participants joining from 100+ countries, it was amazing to see such a global community come together to learn,

Multimodal AI will shape the next phase of ML. As AI moves beyond single-modality systems, stronger foundations in fusion, alignment, reasoning, & generation will matter even more. At #OxML 2026, we’ll explore the principles behind multimodal AI. 👉oxfordml.school/2026

📣 Announcing the OxML 2026 Poster Challenge We are excited to launch the OxML 2026 Poster Challenge, taking place this July at the Mathematical Institute, University of Oxford. The challenge highlights outstanding research and applied work across machine learning and AI, and

Causal inference becomes much harder when the structure is uncertain. Estimating effects from off-policy data is not enough on its own. At #OxML 2026, Prof. Ricardo Silva (UCL) will explore causal discovery and the extrapolation of causal effects. 👉oxfordml.school

One of the most important frontiers in AI is turning foundation models into systems that can perceive, reason & act in the real world. At #OxML 2026, we'll explore embodied multimodal intelligence, generalist robot policies & reasoning-enhanced robotics. oxfordml.school

Explore how AI systems can perceive, reason, and act in the real world. Join Oier Mees (Microsoft, ETH Zürich) for a deep dive into Embodied Multimodal Intelligence with Foundation Models, where vision, language, and action come together to shape the next generation of

A major frontier in AI is not just making single systems more capable, but understanding how agents learn, coordinate, and act together. At OxML 2026, we'll explore multi-robot and multi-agent learning, from cooperative behaviours to hard coordination problems in the real world.

Speaker Announcement: We’re excited to welcome Amanda Prorok (University of Cambridge) to the MLx Representation Learning & Generative AI track this July in Oxford. Her lecture on Multi-Robot and Multi-Agent Learning will explore: • Introduction to multi-robot and

Why formalise mathematics? As humans & LLMs get better at teaching maths to computers, the implications for verification & discovery are growing fast. At OxML 2026, Prof. Kevin Buzzard will explore why this matters. 👉www.oxfordml.school/2026 #OxML #AIforMaths, Imperial College London

📣 From models to real-world impact — build, deploy, and scale. MLx Cases at the Oxford Machine Learning School (OxML 2026) is designed for those who want to go beyond theory and actually build—from CNNs and diffusion models to AI agents and production-ready apps. Hands-on.

A major frontier in AI is its growing role in scientific discovery. At #OxML 2026, Prof. Christopher Bishop will discuss how AI can accelerate discovery, from fast emulators trained on synthetic data to new approaches across biology, healthcare, chemistry, & physics Microsoft Research

🚨 Limited slots left for OxML 2026 – MLX Cases MLX Cases is a hands-on, engineering-driven track designed to help you go beyond theory and actually build end-to-end AI systems from scratch. Over two intensive weekends, you’ll work through practical case studies covering: •