OxML 2027: Foundation Models — June, online. Biomedical AI — 10–12 Aug. Frontier AI — 13–15 Aug. Oxford + online. Registration open.
Oxford, England
Joined June 2019
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AI for Global Goals | OxML retweeted
Every year, we evolve the OxML programme to reflect the latest advances in AI and machine learning.
For OxML 2027, we’re making some of the biggest changes since the school began.
Our commitment remains the same: advanced AI training taught by leading scientists and researchers.
The new structure reflects how we see some of the major shifts in the field:
• Foundation models are expanding far beyond language and vision.
• Frontier AI increasingly involves systems that reason, use tools, act and improve.
These shifts have shaped three complementary programmes:
1. Foundation Models — Fundamentals & Applications
2. Biomedical AI — Health, Biology & Discovery
3. Frontier AI — Learning, Reasoning, Agency & Self-Improvement
Each programme stands on its own. Together, they offer a connected journey through modern AI, combining theory with applications and hands-on cases.
More on the curriculum and speakers soon:
oxfordml.school/2027
#OxML2027
AI for Global Goals | OxML retweeted
📢⌛ Last chance to register for OxML 2026.
This July, at the Oxford Mathematical Institute and online, we will host two advanced tracks:
MLx Health & Bio
MLx Representation Learning & Generative AI
Outstanding speakers -- Advanced technical depth --Strong international community.
Final chance to join us this July:
oxfordml.school/2026
#OxML2026 #OxML #MachineLearning #AI #GenerativeAI
@rezakhorshidi @yalidux @GlobalGoalsAI @GRESEARCHjobs
ALT Across these tracks, we are bringing together an outstanding group of speakers working across some of the most important directions in machine learning today. - In Health & Bio, topics span EHR learning, digital health and novel data modalities, sensor and foundation models, geometric deep learning, cellular-scale biology, and broader questions at the intersection of machine learning, healthcare, and biomedical impact. - In Representation Learning & Generative AI, the programme includes formalised mathematics, intelligent data gathering, multi-robot and multi-agent learning, embodied multimodal intelligence, causal discovery, multimodal AI, AI safety and alignment, and related directions in modern generative and representation learning. What continues to make OxML distinctive is not only the quality of the speakers, but the kind of community it brings together: researchers, engineers, scientists, founders, clinicians, and practitioners from around the world who want serious technic
AI for Global Goals | OxML retweeted
We are delighted to welcome Prof. Tim Rocktäschel (UCL and Co-Founder of
Recursive Superintelligence) to OxML 2026 🙌
Tim’s work spans world models, representation learning, open-endedness, self-improving AI systems, grounded language understanding, and automated scientific discovery — all central directions in the future of AI.
This will be a particularly exciting session at OxML 2026, taking place this July in Oxford.
⌛ Registration deadline: 22 May
👉 oxfordml.school/2026
@GlobalGoalsAI
#OxML2026 #AI #MachineLearning #WorldModels #RecursiveSuperintelligence
🤖 Made with AI
AI for Global Goals | OxML retweeted
Today we begin MLx Cases at OxML 2026.
A hands-on, engineering-driven module focused on building real end-to-end AI systems — from CNNs and diffusion models to MiniGPT, open-source agents, and AI systems that reason, act, and evolve.
At a time when the hardest problems in AI increasingly sit around the model, this is exactly the kind of practical training that matters.
Looking forward to a great module with an outstanding group of instructors and participants.
#OxML2026 #OxML #MachineLearning #AI #ML
AI for Global Goals | OxML retweeted
⏳ Last call for MLx Cases — registration closes tomorrow, 24 April.
One of the clearest shifts in AI right now is that, in many domains, the hardest problems sit around the model: evaluation, multi-step system behaviour, tool use, constraints, and surfacing failure modes early.
These are the skills that increasingly differentiate strong ML practitioners.
That is exactly why MLx Cases matters. It is the most practical module of OxML 2026: hands-on, engineering-driven, and focused on building real end-to-end AI systems.
If you want to move beyond models and notebooks to building systems that actually work in practice, this is a very valuable module.
📅 Register by tomorrow, 24 April:
👉 oxfordml.school
#OxML2026 #OxML #MachineLearning #AI #DeepLearning #GenerativeAI #MLx #DataScience
AI for Global Goals | OxML retweeted
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
@MSFTResearch
ALT www.oxfordml.school/2026
AI for Global Goals | OxML retweeted
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.
👉oxfordml.school/2026
#OxML #AIforMaths, @imperialcollege
🤖 Made with AI
AI for Global Goals | OxML retweeted
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
AI for Global Goals | OxML retweeted
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
AI for Global Goals | OxML retweeted
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
AI for Global Goals | OxML retweeted
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
AI for Global Goals | OxML retweeted
🎓 #OxML 2026 is now open for registration! 🙌
Join us at @OxUniMaths & online for 3 advanced modules bringing together world-leading researchers, industry experts, and #ML practitioners 🌐 🧬 🧠
oxfordml.school
@GlobalGoalsAI @CIFAR_News @RenPhil21 @oxmartinschool
AI for Global Goals | OxML retweeted
Ladies and gentlemen, OxML2026 site is now live -- a great program for anyone who wants to learn about applied and theoretical topics at the cutting edge of ML/AI. Hope to see you this summer (in Oxford and online)!
oxfordml.school/
@GlobalGoalsAI
AI for Global Goals | OxML retweeted
📣 Last Chance to Apply – MLx Fundamentals!
Don’t miss the last opportunity to join OxML 2025’s MLx Fundamentals Course—a rigorous and hands-on introduction to Machine Learning. Designed for real-world impact, this course blends theoretical foundations with TA-supported practical sessions to help you build essential, job-ready skills.
🔍 Core topics & expert speakers:
▫️ ML Fundamentals Area Chair – Prof. Yali Du (@KingsCollegeLon )
▫️ Deep Learning – Prof. Yuki Asano (University of Technology Nuremberg @utn_nuremberg )
▫️ Generative AI (Vision) – Dr. Karsten Kreis (@NVIDIAAI )
▫️ Optimisation in ML – Prof. Chi Jin (@Princeton University)
▫️ Introduction to Machine Learning – Prof. Biwei Huang (@UCSanDiego)
▫️ Video generative models - Dr. Ishan Misra (@Meta)
▫️ Practical Tutorial in Deep Learning & Representation Learning - Dr. Hao Liang (@KingsCollegeLon )
▫️ Generative AI in NLP – Prof. Meng Fang (University of Liverpool) @LivUni
▫️ Practical tutorial for ML – Richard Willis (King's College London)
▫️ Practical tutorial for Generative AI in NLP – Yudi Zhang (Eindhoven University of Technology) @TUeindhoven
Secure your spot before the deadline!
‼️Application Deadline: 10 Apr 2025
💡 Scholarship opportunity: Participants currently based in low- and middle-income countries (LMICs) are eligible for a 50% discount on online registration fees.
Program Committee: Yali Du, Mona Alinejad, D.Phil. (Oxon), Reza Khorshidi, D.Phil. (Oxon)
Partners: University of Oxford Deep Medicine Program, CIFAR, Google DeepMind
Community Partners: Oxford Women in Engineering , Science and Technology (OxWEST) @oxengsci , Oxford Internet Institute @oiioxford , University of Oxford, AIPressRoom @AIPressRoom , Engineering Without Borders (EWB) , AI Time Journal @AITimeJournal , AI Mojo -Breaking AI News & Insights , CogX @CogX_Festival , AI Nexus RTC , HSBC
@yalidux @y_m_asano @huang_biwei @chijinML @karsten_kreis @imisra_ @MENGFANG1165630
@UniofOxford
#MLxFundamentals #OxML2025 #MachineLearning #AI #GenerativeAI #DeepLearning #GenerativeAI #Introductiontomachinelearning
AI for Global Goals | OxML retweeted
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We are looking to hire two junior engineers/developers (say, 0-4 years after their graduation) at @ElandiAI .
[Please help share with your network]
AI for Global Goals | OxML retweeted
Exciting news! We were selected as one of the few recipients of @innovateuk £19M funding initiative to accelerate the adoption of trustworthy & responsible AI & ML🌟@elandiai is a revolutionary educational platform providing personalised training & assessments in AI & deep tech.
We are thrilled to announce the launch of Elandi: A platform that provides tech talents worldwide with access to infinite personalised L&D opportunities; contextualised for their needs and preferences.
@ElandiAI comes on the back of a strategic partnership between @GlobalGoalsAI, @KingsCollegeLon, @MozillaAI, and @beyond, to bridge the global #AI skills gap, using trustworthy #GenerativeAI.
This strong consortium, funded by @UKRI_News (Technology Missions Fund), will provide Elandi with deep expertise in building AI products — from core AI research and engineering, to experience design — that align to its users’/stakeholders’ needs and goals.
Read more in our press release: elandi.ai/about
Please register your interest on our website, or contact us, for early access.
AI for Global Goals | OxML retweeted
What will the future of AI-assisted biological discovery look like?
As the use of AI in biology and health is gaining momentum, its not hard to imagine a future in which every biological scientist is supported by AI assistants that help synthesise data, design the next experiment, and enrich our mechanistic understanding. This future holds great potential to finally address the many bottlenecks we face in biomedical innovation, and perhaps lead to a world where we are working smarter, not harder in drug discovery.
Recently, I had the great opportunity to present some of our recent work in the domain of AI assistants for biological discovery at the Oxford Machine Learning summer school (OxML @GlobalGoalsAI) in the ML x Bio&Health track - where we covered:
- Where can AI make an impact in Drug Discovery and Development?
- Computational experimentation as a fast and cost-effective complement to wet-lab research
- AI-guided experimental design and optimized exploration
- AI-supported synthesis of evidence for causal understanding
- In-silico readouts to accelerate and enrich wet-lab experimentation
👇
AI for Global Goals | OxML retweeted
The final day (day 9) at OxML2024. One more talk and it’s a wrap.
@GlobalGoalsAI @ArthurGretton
AI for Global Goals | OxML retweeted
Had a wonderful time presenting to an engaged audience at @GlobalGoalsAI @UniofOxford ML x Health Summer School in picturesque Oxford.
AI for Global Goals | OxML retweeted
Long day at OxML today — started from before 8:00 and going strong at 18:00. This is what 300+ enthusiastic global AI talent looks like …
PS,
All this while #EURO2024 game going on.