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AI for Global Goals Profile
AI for Global Goals

@GlobalGoalsAI

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Closing the AI skills gap to achieve the Global Goals. Organiser of Oxford Machine Learning Summer Schools (OxML)

Oxford, England
Joined June 2019
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@GlobalGoalsAI
AI for Global Goals
8 months
🚀 OxML 2025 Application is Now Open!. Join Oxford Machine Learning Summer School (#OxML2025), the biggest and most comprehensive training in AI/ML led by world-class enthusiasts. 🔹 MLx Fundamentals.1-2 & 8-9 May | Online.From Statistical ML to Deep Learning, NLP, and computer
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@GlobalGoalsAI
AI for Global Goals
2 days
🚨 Final Call for Applications for MLx Representation Learning & Generative AI – Deadline: 7 July 2025. Join us for MLx Representation Learning & Generative AI from 7–10 August 2025 at the University of Oxford’s Mathematical Institute & Online. This four-day course explores the
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@GlobalGoalsAI
AI for Global Goals
5 days
🚨 Final Call! Applications for MLx Health & Bio 2025 close on 7 July 2025!. We’re thrilled to feature an incredible lineup of speakers pushing the boundaries at the intersection of machine learning and health. Join us for a deep dive into cutting-edge theoretical ML and its
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@GlobalGoalsAI
AI for Global Goals
9 days
We're excited to welcome Cheng Zhang, Research Manager on the Llama team at Meta GenAI as a speaker to the MLx Representation Learning & Gen AI program . Cheng has led breakthroughs in causal deep learning, Bayesian deep learning, large‑language models, and multi‑modal
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@GlobalGoalsAI
AI for Global Goals
18 days
🎤 We’re thrilled to welcome Gerhard Neumann, professor at Karlsruhe Institute of Technology as a speaker at MLx Representation Learning & GenAI!. Join us as he shares cutting-edge insights at the intersection of representation learning and generative AI. ⚠️ Limited slots
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@GlobalGoalsAI
AI for Global Goals
24 days
We’re thrilled to welcome Edward Johns (Imperial College London) as a speaker for the MLx Representation Learning & Generative AI track!. 🎙️ Talk: Representation Learning & Generative AI in Robotics.📅 7–10 August | 📍University of Oxford's Maths Institute & Online. Join us as we
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@GlobalGoalsAI
AI for Global Goals
28 days
To wrap up the MLx Generative AI track, we were joined by @yalidux, Associate Professor at @KingsCollegeLon and Turing Fellow at @turinginst, for a compelling session on “Towards Cooperative AI Agents.” 🤖 Yali shared how her research bridges reinforcement learning and large
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@GlobalGoalsAI
AI for Global Goals
28 days
Next up in the MLx Generative AI track, we heard from @asadi_sahar, Director of AI Labs at @King_Games, who gave a fantastic talk on “Building AI Products in Gaming.” 🎮 She shared how AI is shaping the gaming pipeline through player modelling, procedural content generation,
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@GlobalGoalsAI
AI for Global Goals
28 days
We opened Day 3 of the MLx Generative AI track with Jonathan Passerat-Palmbach, senior research scientist at Flashbots and research fellow at @imperialcollege. 📸 🤖 His talk, “ZKML, Federated Learning, & Privacy-Preserving ML,” explored advanced cryptographic techniques like
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@GlobalGoalsAI
AI for Global Goals
29 days
Finishing off Day 2 of the MLx Generative AI track, we welcomed @sunilmallya from @_FlipAI for an engaging final session. ⚙️🧠. In his talk, “System of Intelligent Actors,” Sunil shared how Flip AI is rethinking incident debugging by orchestrating a team of intelligent,
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@GlobalGoalsAI
AI for Global Goals
29 days
After the break, the MLx Generative AI track continued with two talks that focused on how AI can drive real-world business value by enhancing strategy and infrastructure. 💸 ⚙️. First, Oliver Williams from @BainandCompany presented “Beyond the Data Moat: Building Defensible Value
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@GlobalGoalsAI
AI for Global Goals
29 days
Continuing the MLx Generative AI track, the next two speakers explored how agents are moving from experimental tools to practical infrastructure in both enterprise settings and open-source ecosystems. ⚙️🧠. First, Xiangpeng Wan from @NetMindAI delivered a compelling talk on
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@GlobalGoalsAI
AI for Global Goals
29 days
Day 2 of the MLx Generative AI track started strong with two fantastic back-to-back speakers!. First up was Danijela Horak from the @BBC, who shared insights on “The Value of Fine-Tuning LLMs in the Media Industry.” 📰 Drawing from real newsroom use cases, she demonstrated how
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@GlobalGoalsAI
AI for Global Goals
30 days
Day 2 of MLx Generative AI – Let’s go! We’re back with another exciting lineup of talks exploring real-world applications and frameworks for agentic systems:. Danijela Horak – The Value of Fine-Tuning LLMs for Use Cases in the Media Industry.Cassiano Surek – Agent Anatomy,
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@GlobalGoalsAI
AI for Global Goals
1 month
To round off Day 1 of the MLx Generative AI track, we welcomed @jeffclune for an inspiring final session. Known for his pioneering work at @OpenAI, @GoogleDeepMind, @UberAILabs, and now leading research at the @UBC, Jeff has been at the forefront of breakthroughs in deep
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@GlobalGoalsAI
AI for Global Goals
1 month
Peter Gostev, Head of AI at @MoonpigUK, then guided us through GenAI's evolution, from rapid model improvements to real-world deployments like Moonpig’s AI-generated stickers. 👩‍🚀 Peter broke down the tech stack behind it, the team dynamics that made it happen, and the creative
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@GlobalGoalsAI
AI for Global Goals
1 month
We continued the MLx Generative AI track with @karo_moilanen from @moonsonglabs_, presenting his talk on "Agent Guardrails and Proof-of-Agenthood Topologies". He explored how we can verify what agents do, who they are, and whether we can trust them - covering topics like access
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@GlobalGoalsAI
AI for Global Goals
1 month
We kicked off the first day of MLx Generative AI, hosted here at @LSEnews in London, with @edwardfhughes from @GoogleDeepMind. 🧠 He guided us through the foundations of AI-driven innovation, starting with AlphaGo’s famous move 37 and the integration of diversity bonuses in
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@GlobalGoalsAI
AI for Global Goals
1 month
📣 We’re excited to kick off the course today with a fantastic line-up of speakers:. Edward Hughes (Google DeepMind) – AI Squared: Towards AI Capable of AI Research . Karo Moilanen (Moonsong Labs)– Agent Guardrails and Proof-of-Agenthood Topologies . Peter Gostev(Moonpig) –
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@GlobalGoalsAI
AI for Global Goals
1 month
🚀 Excited to welcome Peter Gostev, Head of AI at Moonpig, to speak at MLx Generative AI this June!. Peter will explore how we evaluate Generative AI — a critical lens for building reliable agents, alignment strategies, and real-world products. 📍 5–7 June | London School of
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@GlobalGoalsAI
AI for Global Goals
2 months
Speaker Announcement!. Join Stefan French from as he dives into Agent Frameworks & Agent Evaluation at MLx Generative AI, June 5–7 at The London School of Economics and Political Science (LSE). 🔗 Apply today secure your spot!.
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