Bioz’s Post

***Webinar Registration Link in Comments - June 27*** While the potential of foundational models in biotech and pharma is vast, there are so many unknowns. One of them is identifying the best model for a specific research application.  To help you navigate these complexities, we are hosting a webinar to guide you in selecting and applying the right models to your research needs. Presented by our in-house AI experts (and some might even say fanatics), Daniel and Dror: 🔹 Most promising foundational models for biotech and pharma today 🔹 How to categorize these models into various biologically compelling categories 🔹 Data and compute requirements for each application   #Bioinformatics #DataScience #ComputationalBiology #AI #ML

"🔍 Just in: FineBio introduces a fine-grained video dataset for biological experiments, aiming to advance the understanding of activity and hand-object interactions in this domain. The dataset, with detailed hierarchical annotations, poses new challenges for structured activity understanding. Access the dataset and code at the provided link for deeper insights into AI applications in scientific experimentation. #AI #ML #DataScience #BiologicalExperiments #FineBio"

Can we improve cell type classification with more data? Today’s blog explores how scTab, a novel #deeplearning model, has the capacity to overcome the limitations of traditional approaches by leveraging data augmentation and achieving superior accuracy across diverse tissues. Read the full article: https://lnkd.in/eM8_NQ-P #scRNAseq #celltypeannotation #bioinformatics #MachineLearning #AI

AI is all over the news, and it’s making waves in synthetic biology too! But there is a significant data gap on how our community leverages AI tools throughout various stages of SynBio projects. If you’re using AI in any part of your 2024 iGEM Competition project, join our AI x Synbio study! The first survey should just take ~10min to complete. By contributing to this study, you’ll help shed light on best practices, challenges, and the transformative potential of AI in synthetic biology. Image created with DALL-E, OpenAI (2024) #synbio #ai #artificialintelligence

ICYMI: Can we improve cell type classification with more data? We explored how scTab, a novel #deeplearning model, has the capacity to overcome the limitations of traditional approaches by leveraging data augmentation and achieving superior accuracy across diverse tissues, in our blog: https://lnkd.in/eM8_NQ-P #scRNAseq #celltypeannotation #bioinformatics #MachineLearning #AI

We are very proud of this interdisciplinary project on a crucial aspect of developing AI and AI related technologies ethically #datahazards read more below

Thank you to our participants who helped make our #codeathon a success! If you missed our "Building Transparent ML/AI Solutions to Advance Biological Research Codeathon," you can learn more about the team-led projects here: https://ow.ly/Ub0x50QKJqZ #AI #ML #OpenScience #DataScience

#AI is transforming photo editing, replacing traditional tools with advanced features for enhanced creativity. 🖼️ #AI #photoediting #genomics #informatics

Join Pryon next week at ATARC Federal AI Summit in Reston, VA    Hear from our founder & CEO Igor Jablokov as he joins a panel of Federal IT government officials to discuss the #ResponsibleAI revolution.    Session details:  “Innovating with the Heart: The Responsible AI Revolution”  February 29, 1 PM ET    See you there 👋    ATARC (Advanced Technology Academic Research Center) #JustKnowNow #ArtificialIntelligence #AI #IntelligenceEconomy #KnowledgeManagement  

I'll be joining Stephen Wolfram for a fireside chat on AI and biological data analysis at #SynBioBeta2024 on May 7th! Looking forward to discussing how AI can revolutionize our understanding of complex biological systems. Join us for what promises to be an insightful conversation! #SynBioBeta #AI #BiologicalData #Innovation