🚀 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

📣 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) –

We kicked off the first day of MLx Generative AI, hosted here at LSE in London, with Edward Hughes from Google DeepMind. 🧠 He guided us through the foundations of AI-driven innovation, starting with AlphaGo’s famous move 37 and the integration of diversity bonuses in

We continued the MLx Generative AI track with Karo Moilanen from Moonsong Labs, 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

Peter Gostev, Head of AI at Moonpig, 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

To round off Day 1 of the MLx Generative AI track, we welcomed Jeff Clune for an inspiring final session. Known for his pioneering work at OpenAI, Google DeepMind, Uber AI Labs, and now leading research at the University of British Columbia, Jeff has been at the forefront of breakthroughs in deep

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,

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

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 NetMind.AI delivered a compelling talk on

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 Bain & Company presented “Beyond the Data Moat: Building Defensible Value

Finishing off Day 2 of the MLx Generative AI track, we welcomed sunil mallya from Flip AI 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,

We opened Day 3 of the MLx Generative AI track with Jonathan Passerat-Palmbach, senior research scientist at Flashbots and research fellow at Imperial College London. 📸 🤖 His talk, “ZKML, Federated Learning, & Privacy-Preserving ML,” explored advanced cryptographic techniques like

Next up in the MLx Generative AI track, we heard from Sahar Asadi, Director of AI Labs at King, 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,

To wrap up the MLx Generative AI track, we were joined by Yali Du, Associate Professor at King's College London and Turing Fellow at The Alan Turing Institute, for a compelling session on “Towards Cooperative AI Agents.” 🤖 Yali shared how her research bridges reinforcement learning and large

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

🎤 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

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

🚨 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

🚨 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

🎉 We’re delighted to welcome Dr. Emma Robinson (King’s College London) as a speaker at MLx Health & Bio – taking place 2–5 August at the University of Oxford’s Mathematical Institute and online. Dr. Robinson specializes in machine learning for healthcare, with a focus on