⚡️ QDax ⚡️ We’re releasing QDax, a high-performance library to implement Quality-Diversity algorithms in #JAX. With QDax, you can run state-of-the-art evolutionary methods in minutes instead of hours 🔥bit.ly/3nWnuYk 1/3

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion abs: arxiv.org/abs/2208.01618 “Textual Inversions”, operates by inverting the concepts into new pseudo-words within the textual embedding space of a pre-trained text-to-image model

1/ Happy to announce that the second part in the DDPMs tutorial series is now available: **Gaussian Distribution in the context of DDPMs** Here is the link to the repo containing the notebook: bit.ly/3BBfHaj

Standing ovation for my InstaDeep Co-Founder Zohra Slim who receives the Deep Learning Indaba Umuntu award! Congrats!! We’re so proud of you!!! #DLIndaba2022

After an unforgettable Deep Learning Indaba, the InstaDeep DREAM TEAM is now hard at work, not in a garage but a… stadium! Mega launch of AI Hack Tunisia tomorrow, get ready for more awesomeness ahead!🔥🚀

#AIHack2022 is officially closed! We are truly humbled by the awesome enthusiasm for ML from all across MEA! A huge thank you to everyone who participated over the last three days, enjoy the well-deserved celebrations! 🏆🎉👍🏼

1/ We’re happy to announce our latest contribution to the open-source ecosystem and RL community! We are releasing Jumanji, a suite of Industry-Driven Reinforcement Learning environments written in #JAX 📚 Doc: tinyurl.com/doc-jumanji ⭐ Github: tinyurl.com/code-jumanji

As the world’s population passes 8B, sustainable agriculture is more important than ever. In our mission to build AI that benefits everyone, and in partnership with Google Cloud, we trained the next generation of AI models for plant genomics 🌱🧬 bit.ly/3VFfjys (1/7)

1/ We are happy to share that our recent work “Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories” has been accepted as an oral presentation at #AAAI23. 📰 Paper: arxiv.org/abs/2205.14345 💻 Blog: bit.ly/3X9vgNs

#NVIDIA #GTC23 is live! 👏🏽 At 1700 GMT today, InstaDeep Senior Research Scientist Thomas Pierrot 👨‍💻will be talking on a panel about nucleotide transformers, their impact on genomics research 🧬 and how #JAX was instrumental. Sign up at the link! bit.ly/37qzGeL

Can an AI team bring their research passion to life on the big screen 🎞️? Discover for yourself with the #CapeToCarthage trailer! Movie was entirely built in-house on a modest budget. Showcasing African AI innovation with Cape To Carthage, an Official Selection

A nice blog post highlighting six areas of research being worked on in Google's Accra Research Center.

It’s official! 🎉Today InstaDeep becomes a proud member of the BioNTech family. Want to apply your AI skills to make a difference? Join us, we’re hiring!

What makes CLIP work? The contrast with negatives via softmax? The more negatives, the better -> large batch-size? We'll answer "no" to both in our ICCV oral🤓 By introducing SigLIP, a simpler CLIP that also works better and is more scalable, we can study the extremes. Hop in🧶

The NT Family is growing! 🐣 ✨ Introducing ChatNT, a Conversational Agent designed to analyse genomics sequences and address a wide range of key biological questions, assisting scientists in their daily work 👩‍🔬 📚Paper: tinyurl.com/chatNT-pdf 🌐Blog: tinyurl.com/chatNT-blog

Can I just say I loooove Suno. Some of my favorites: Dog dog dog dog dog dog dog dog woof woof suno.com/song/1783c864-… Chemical elements suno.com/song/5f324463-… train_gpt2.c header (who did this lol) suno.com/song/2a210337-… Suno tutorial (in Suno!): suno.com/song/d960e84a-… Many

Building Africa’s #AI future starts with creating opportunities and empowering #African talent.✨ This Thursday, 21 November, Ibrahim SY will represent our Kigali team at #AfricaTechForum 2024, hosted by Eventhive and Africa Tech Series. Catch him for his keynote on

Watch Gemini 2.5 Pro implement a landmark Google DeepMind research paper. 🕹️ It codes the reinforcement learning algorithm, visualizes the training live and even debugs errors. ↓

I'm super pleased to share that SegmentNT, our single-nucleotide resolution genome annotation model, has been featured in Nature Methods! 🚀 SegmentNT builds on our Nucleotide Transformer foundation model to deliver on the ultimate task: single-nucleotide resolution

Happy New Year 2026! 🎉 As we wrap up an incredible year, our best ever in AI research, we mark the moments of #innovation, collaboration, and growth that brought us closer to building #AI for all and turning bold ideas into real-world impact. Today, we celebrate every