🎉 Excited to share that we've just hit a $76M funding milestone for @bioptimus_ai , with a fresh $41M round to build the first multiscale foundation model of biology: https://t.co/4EG74t2j5E
Wondering if AI can learn the language of life? Come join the @bioptimus_ai crew to joyfully change the world and shape the future of biology and medicine with AI foundation models! Check out https://t.co/Uga5Gnk3Uz for roles in engineering, data science, product, operations...
Mistral, LightOn, Shift Technology, Alan, Bioptimus, Google : ils sont de plus en plus nombreux à choisir la France pour innover en matière d’intelligence artificielle. Fierté.
En investissant, nous faisons de la France un pays à la pointe de l’IA.
Une IA le dit aussi !
In case you missed it @bioptimus_ai: We are looking for the best talents (ML/biology/large-scale infrastructure) to join our fantastic technical team @ZeldaMariet @FelipeLlinares@jeanphi_vert
👉 https://t.co/yx6D7lJkIk
Do you want to work with some of the best minds to transform biology? Then we want to hear from you! To find out how you can be a part of Bioptimus, visit https://t.co/yx6D7lJkIk
(3/3)
ELOHIM PRANDI !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 🔥🔥🔥🔥🔥🔥🔥
Le tir de la dernière chance qui finit au fond de la cage suédoise ! Les Bleus égalisent à la dernière seconde ! Quelle folie ! #FRASUE#BleuetFier@FRAHandball
Le direct sur TF1+
➡️https://t.co/Zzt73ywe75
Our founding team is covering many AI fields from vision, with Patrick Pérez and Hervé Jégou (@hjegou) to LLMs with Edouard Grave (@EXGRV), audio with Neil Zeghidour (@neilzegh) and Alexandre Défossez (@honualx) and infra with Laurent Mazaré (@lmazare).
👴 L’athlète du jour | C’est notre Ludovic Pommeret (🇫🇷) – 48 ans et cinquième du mythique UTMB Mont-Blanc hier après-midi 🙆♂️ Au terme d’une incroyable gestion de course à l’expérience :
👉 49ème — après une heure de course
👉 51ème — après trois heures de course
👉 57ème — après cinq heures de course
👉 31ème — après huit heures de course
👉 18ème — après dix heures de course
👉 7ème — après quinze heures de course
👉 5ème — à l’arrivée après 21 heures de course
172 kilomètres avec 9960 mètres de D+ … c’est long surtout avec la nuit à passer dehors – donc aucune raison de s’affoler ! La gestion de l’effort c’est la 🔑.
I had a great time at EPFL's AMLD on Gen AI.
If anyone is curious what the "two advances" are (plus a number of other cool talks), I believe the recordings will be made available on EPFL's YT channel in a few weeks.
Introducing Soft MoE! Sparse MoEs are a popular method for increasing the model size without increasing its cost, but they come with several issues. Soft MoEs avoid them and significantly outperform ViT and different Sparse MoEs on image classification.
https://t.co/ozX9qPBe96
If you are interested in how to best exploit pretrained models within the context of contrastive learning, go and check out our recent work led by @janundnik during a great @GoogleAI internship! (Full list of collaborators in the thread 👇)
👀 Looking for the best use of pre-trained classifiers in contrastive learning?
🏝Check out my @GoogleAI internship project at the ES-FoMo workshop @icmlconf in Hawaii next week!
🔥 With Three Towers, the image tower benefits from both contrastive learning and pre-training!
Having side information, even only available at training time, can be helpful to deal with label noise.
We study this phenomenon and give practical methods to exploit that information. Check out our ICML paper led by @gortizji during his great @GoogleAI internship!
Label noise is a ubiquitous problem in machine learning! 💥
Our ICML work 🌴: “When does privileged information explain away label noise?” answers how meta-data can help us solve this issue 🤔
Come to our poster on Wed and check it out! 🏄
📄: https://t.co/RsKiZf3Bdk
🧵1/5
How to best take advantage of pretrained models for contrastive learning? Our approach is simple, flexible and robust.
Joint work with fantastic colleagues at @GoogleAI. Special shout-out for @janundnik who led the project during his student researcher program 👏
New Preprint: 🔥Three Towers: Flexible Contrastive Learning with Pretrained Image Models🔥
We improve the contrastive learning of vision-language models by incorporating knowledge from pretrained image classifiers.
📄https://t.co/sACCbj7Php
🧵[1/3]
My company Groundlight is coming out of stealth today, offering Computer Vision powered by Natural Language for industrial and commercial applications, integrated from edge to cloud to real-time human monitoring. https://t.co/vZQNYpc85L