Ginkgo Bioworks, Inc.’s Post

🚀 Exciting News! 🚀 In the past months, I've been curating the content for Data Makers Fest, the ultimate celebration for data practitioners! 🎉 Over the coming weeks, I'll be sharing sneak peeks of the incredible topics we'll be exploring at our festival! 🎊 🔥 First up: MLOps! 🔥 Join us for "MLOps on a shoestring," where Nemanja Radojkovic from Euroclear will show us how to run MLOps on a budget that rivals a college student's ramen meal. 🍜 (ok, maybe not that cheap) Are you part of a mid-sized startup dreaming of no-worry weekend without worrying about your production? 🏄♂️ Bartosz Mikulski has you covered with "MLOps for the rest of us." 🚀 And if you're a framework enthusiast, don't miss "LUPA ML Platform: accelerate data & ML workflows" by André Godinho (DareData Engineering) and Gustavo Emanuel Santos Pereira (NOS SGPS). 🚀 Ready to dive into the world of data? Head over to www.datamakersfest.com to learn more! 🌐 Feel free to ping me if you're interested in joining, as I might have a little surprise in store for you 😉🎁 #DataMakersFest #MLOps #DataEnthusiasts #TechFestival #DataScience #DataEngineering

Sometimes when you plan research centres, academies, and projects, you have an idea about what they could and should do with the funding, but as a basic scientist at heart, I always hope that the researchers take the more serendipitous route. Case in point here, well done all, or should I say 🍷🥂🍇? With funding from Novo Nordisk Foundation, VILLUM FONDEN # VELUX FONDEN (THE VELUX FOUNDATIONS), Pioneer Centre for AI, DDSA - Danish Data Science Academy etc. Only complaint from my side: why was Ulrik Nicolai de Lichtenberg and I not invited for the wine tasting? #SerendipityResearch #ResearchCenters #AIProjects #Funding #dkforsk Serge Belongie https://lnkd.in/enK9aMHe

Join us for our second edition of HelicALL! In this webinar, we will be discussion the latest single-cell foundation models and their most popular applications! Helical Maxime Allard Mathieu Klop

Exciting workshop bridging the ML-genomics gap, with a primary focus on target identification in drug discovery! Explore the intersection of ML and genomics, delving into emerging technologies and key biological questions, emphasizing ML's role in advancing target identification. Don't miss this opportunity to dive into the cutting edge of modern drug development!

🎉ATTENTION ALL MACHINE LEARNING SUPERSTARS CONVERGING AT THE INTERSECTION OF SCIENCE & TECH!!🎉 We're extremely excited to announce the 1st Machine Learning for Genomics Exploration Workshop at ICLR 2024! The main objective of this workshop is to bridge the gap between machine learning (ML) and (functional) genomics, focusing on target identification---a pivotal aspect of drug discovery. Our goal is to explore this challenging aspect of modern drug development, where we aim to identify biological targets that play a critical role in modulating diseases. We will delve into the intersection of ML and genomics, with a specific focus on areas where the availability of data has expanded due to emerging technologies (e.g., large-scale genomic screens, single cell, and spatial omics platforms). From a biological perspective, our discussions will encompass sequence design, molecular perturbations, single cell and, spatial omics, shedding light on key biological questions in target identification. On the ML front, we aim to address topics such as interpretability, foundation models for genomics/biology, generalizability, and causal discovery, emphasizing the significance of ML in advancing target identification.  📢 Call for papers: https://lnkd.in/gHk2iiEi The deadline for submissions is February 4, 2024. #artificialintelligence #machinelearning #deeplearning #reinforcementlearning #computationalbiology #genomics #bioinformatics #drugdiscovery #drugdevelopment #ICLR #ICLR2024

New Scientist Live is the highlight of our calendar. From the inner life of a dolphin to the future of AI, there is a lot to discover

Back in July, we put Midjourney, DALL-E, and Stable Diffusion to the test to see if they could replace life science stock images (A: usually not). But that was with DALL-E 2 and there's DALL-E 3 now! Can DALL-E 3 do better? We found out for ourselves. See how it went: https://ow.ly/pCsV50QlieH #LifeScienceMarketing #GenerativeAI

Wisecube comes with a new challenge for you - the BioTech Challenge!🧬 We invite you to develop an AI agent 🤖 that combines OpenAI APIs and Wisecube APIs to facilitate advanced biomedical research. Your solution should make it easy to find current information and provide professionals with a straightforward way to stay updated with new biomedical data. The AI agent you will create must be a reliable pillar for conducting research. In a world where data can change and update rapidly, we need to find a method 🔍 to access current and accurate biomedical information. Integrating the capabilities of OpenAI language models with Wisecube AI's structured knowledge 🧠, will help to provide precise and comprehensive biomedical information. You can get a ticket 🎫 to the hackathon here: gigahack.md.

It's exciting to see how technologies evolve and impact our world. Genetic algorithms have been around since the 60s. Today, we see them in action in chemistry models pushing the boundaries of material science. Large language models need no introduction. Retrieval-augmented generation has developed rapidly and is proving to be a real power tool in the hands of Quaisr platform users. It's exciting to see how these technologies continue to evolve and impact our world. #AI #MaterialScience #LLMs