Have you had a chance to checkout all the exciting Practicals that will be happening at the Indaba? A huge shoutout goes out to all the teams that have been developing exciting code and content for all of us to learn from. Which one are you looking forward to the most?

The "Dive into ML: Learning by Implementing" prac, led by Ulrich A. Mbou Sob - "Through our interactive coding exercises, you'll gain a deeper understanding of machine learning and even build some models from scratch. Join us and experience the thrilling art of crafting ML models." 🚀

Also thanks to the amazing team that helped create the pracs this year! 🚀(+ Hayder James Allingham Marianne Monteiro Umang Bhatt John Bagiliko Everlyn Asiko Kira Düsterwald Jama Mohamud Tejumade Afonja @akram__zaytar Gilles Q. Hacheme KanubalaD (She/her) Kevin Eloff Girmaw Abebe Tadesse Abdel Njupoun )

Team Cameroon Deep Learning Indaba this year was amazing.❤️‍🔥🥰 amazing lovely brilliant minds. Missing y’all already🇨🇲Dr. Elaine Okanye Nsoesie KmerAI WiMLDS Yaoundé BEL'S AI INITIATIVE

Thrilled to announce that our paper, "Offline RL for generative design of protein binders", has been awarded the Best Student Paper at the NeurIPS Conference AI4D3 workshop! 🏆 Grateful for the incredible team from InstaDeep and excited about the impact of our work in drug design.

We use offline reinforcement learning to design small molecules. Learn more in our #NeurIPS2023 New Frontiers of AI for Drug Discovery and Development workshop, or read the paper: biorxiv.org/content/10.110…

New postgrad students, register for the Deep Learning 'Bootcamp', taking place at North-West University's Potchefstroom campus and online from 29 Jan - 2 Feb 2024. Attendance is free. Details: buff.ly/48u8CW6 #deeplearning #physics

We released the weights and downstream task datasets of the agroNT, our 1B parameters DNA foundation model for plant genomics 🧬🪴. Check out our github (github.com/instadeepai/nu…) for Jax lovers⚡❤️and our Hugging Face space (huggingface.co/InstaDeepAI) for the pytorch version🤗.

📽️The documentary #CapeToCarthage spotlights our #MultiAgentReinforcementLearning research team. To empower a new generation, we developed Mava, our open source library that helps researchers build their own MARL systems in #JAX🛠️ Check it out here: github.com/instadeepai/Ma…

All invited.

Excited to announce Jumanji v1.0, now featuring 22 fast, flexible, and scalable environments! Fully written in JAX, Jumanji offers on-device fully-jitted simulations and training. Jumanji got published at ICLR 2024! Paper: arxiv.org/abs/2306.09884 GitHub: github.com/instadeepai/ju…

🧬 More than 170K researchers have downloaded our open source Nucleotide Transformer model in the past month, making it the most popular genomics model on Hugging Face 🤗 Try it here: huggingface.co/InstaDeepAI/nu…

Live Event on Adversarial Machine Learning Happening now: youtube.com/watch?v=w_lpZH… Host: KmerAI represented by Lyse N.W: 🏃🏿‍♀️🚴🏿‍♀️ ✈ Guest: Jonas Ngnawé , PhD student at laval & Mila - Institut québécois d'IA Topic: Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers

Going live soon People🥳🥳🥳: youtube.com/watch?v=wv0VuO…

DeepPCB Pro is LIVE, so proud of the InstaDeep team who worked insanely hard to make it happen! 🔥👍🏼

Ai Day last week was a blast! I had a great time presenting alongside many colleagues from InstaDeep and BioNTech SE, some of our ongoing Bio+AI initiatives. We made several announcements, introducing Kyber, our new supercomputing cluster (more on this soon), as well as

Female Track Athlete of the Year nominee ✨ Repost to vote for Julien Alfred 🇱🇨 in the #AthleticsAwards. Voting closes on Sunday 27 October at 11:59 PM CEST.

Male Track Athlete of the Year nominee ✨ Repost to vote for Letsile Tebogo 🇧🇼 in the #AthleticsAwards. Voting closes on Sunday 27 October at 11:59 PM CEST.

🚨 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)

🚀 Proud to share that our research showing how inference-time strategies can break the reinforcement learning performance ceiling has been selected for an oral presentation at NeurIPS Conference 2025! 🎉 👇 Hear from lead authors Felix Chalumeau and Ruan de Kock in the ▶️ below. 🧵⬇️