Liam Clark

[InstaDeep @instadeepai]

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. 🧑‍🔬

[Ruan de Kock @ruanjohn]

🚨 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)

[InstaDeep @instadeepai]

🚀 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 https://t.co/qqUy1bXJLs

#AI #DeepLearning

[InstaDeep @instadeepai]

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 👇https://t.co/WfOPEou8J1

[Arnu Pretorius @ArnuPretorius]

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!🌼