Liam Clark

The 2025 @DeepIndabaX_ZA saw students and researchers who are passionate about ML innovations coming together in South Africa, with our team taking part in the action across talks, lessons and a hackathon challenge that put participants ML skills to the ultimate test. 🧑‍🔬

🚨 Thrilled to share our #ICML2025 paper: "Sable: a Performant, Efficient and Scalable Sequence Model for MARL"! We introduce a new SOTA cooperative Multi-Agent Reinforcement Learning algorithm that delivers the advantages of centralised learning without its drawbacks. (1/N)

🚀 We’re proud to announce Kyber, our near-exascale supercomputer, built to drive the next generation of AI research! Powered by NVIDIA H100 GPUs and delivering ~0.5 exaFLOPs in FP16 performance, Kyber increases our computational capabilities tenfold. Read about how we're pushing the boundaries of AI innovation bit.ly/3AeUjth #AI #DeepLearning

We are excited to announce our collaboration with the @Syngenta team !🔥 Together, we aim to leverage our state-of-the-art language model AgroNT to accelerate the development of solution-providing crop traits for farmers ! 🌽🫘 Learn more 👇bit.ly/3VLFLcn

If you're interested in multi-agent RL, check out Mava! We have some of the fastest #JAX implementations in town ☄️, written in a research friendly way to get you started with your own ideas quickly!🌼