Big Data Belfast’s Post

Joint Conference between DDLS, WASP and WASP-HS! Join us on September 24-25 at the Wallenberg Conference Centre in Gothenburg for the conference "The Disruptive Role of Data and AI in the Life Sciences," organized by DDLS, WASP, and WASP-HS.   This two-day event will delve into how data- and AI-driven research are transforming life sciences, featuring excellent international keynote speakers, a panel discussion, a poster session and ample time to mingle. Come and take part of the latest research in Sweden!   The conference will focus on different aspects of research where collaboration over scientific domains is essential and will explore the following topics: • How data- and AI-driven research is shaping the future of life science • Development of new approaches to human-in-the-loop technologies and their use •The need for studies at the intersection of society, AI, and data driven life sciences   We look forward to welcoming you to The Disruptive Role of Data and AI in the Life Sciences! Read more and register -> https://lnkd.in/djiHiS2k

Recent advancements in GenAI are transforming document classification in clinical research.   At AI STAC in New York on December 10th, Nataraj Dasgupta, VP Engineering at Syneos Health and former technologist at a major bank, will present a novel methodology for auto-classifying clinical trial documents using GenAI.   He will demonstrate how this approach, which combines contextual RAG, fine-tuned models, and prompt optimization with columnar databases and highly parallel processing, is achieving a remarkable 1000x reduction in both time and cost during initial testing. And he’ll discuss its applicability in finance.   🔗 Register: https://lnkd.in/eUSdEW7P

How do we design better drugs and materials with AI? Unlocking novel generative capabilities with diffusion via “loop guidance”! In our upcoming NeurIPS paper (with Giangiacomo Mercatali, Yogesh Verma, Andre Freitas), we show how a novel framework “Diffusion Twigs”  (resembling multiple offshoots from a tree) opens extremely promising avenues for inverse molecular design and molecular optimization (fundamental tasks in de-novo drug discovery, material design, etc.). In contrast to the standard classifier-free and classifier-based guidance techniques, the proposed loop guidance approach is naturally tailored to hierarchical modeling, providing finer control over generation.  Paper:  https://lnkd.in/ds_Utuva Code: https://lnkd.in/dRtzS7bT Cc:  Regina Barzilay John Ingraham Stefanie Jegelka Max Welling Caroline Uhler Hetu K Andreas Loukas Martin Vechev Manish Gupta Samuel Kaski Juho Rousu Peter Sarlin Julius Sipilä Heikki Käsnänen Sammeli Liikkanen Olavi Kilkku Tamar Pichkhadze Mikko Airavaara Tomi Rantamäki, PhD Evan Feinberg YaiYai Aalto University Aalto University Department of Computer Science The University of Manchester HES-SO Genève, Idiap Research Institute MIT Jameel Clinic - AI & Health CSAIL MIT Massachusetts Institute of Technology Broad Institute of MIT and Harvard #generativeai #drugdesign #materialdesign

Nataraj Dasgupta recently told me about a new approach, leveraging AI, to classifying clinical documents in pharma that shrank 1000 hours of labour to just 1 hour. Turns out the technique could also be applied to documents in the financial industry, so I asked him to come and share his insights at the upcoming AI STAC conference in New York 👇

AI to speed up the drug discovery process! MiniMol is a parameter-efficient foundation model with just 10 million parameters. It was trained on 6 million molecules and 500 million labels.  It can effectively transfer knowledge to downstream tasks that have limited data. Also, it is open-source. So check out their work and write any questions in the comments 👇 Paper: "MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning" (https://lnkd.in/d6-urten) Authors: Błażej Banaszewski, Kerstin Kläser, PhD Sam Maddrell-Mander, Callum McLean, Luis Müller, Ali Parviz, Shenyang Huang, Andrew Fitzgibbon From: Graphcore and RWTH Aachen University [ICML] Int'l Conference on Machine Learning #icml2024

Life sciences are going through an incredible transformation, where omics sciences like genomics and proteomics are giving us a window into life’s deepest layers. It’s like we’re reading the molecular code that makes us who we are—health, disease, everything. But with so much data pouring in, traditional tools can’t keep up. That’s where high-performance computing (HPC) and AI come in, turning this overwhelming data into powerful insights that could totally reshape our understanding of health and medicine.

We asked our Chief Data & AI Officer Walid Mehanna to share his impressions of our recent AI event. The day was packed with talks and activities to show how we are using AI to transform drug discovery, accelerate Life Science research and optimize semiconductor materials. Thanks for capturing the excitement, Walid! #AI360View

Interested in understanding AIoT?

🌟 Join us tomorrow, June 27, for a webinar focusing on the potential of foundational models in biotech and pharma! Featuring our in-house AI experts, Daniel and Dror, the webinar will cover: 🔹 Most promising foundational models for biotech and pharma today 🔹 Categorizing models into biologically compelling categories 🔹 Data and compute requirements for each application Don't miss this opportunity to enhance your understanding and applications in bioinformatics, data science, computational biology, AI, and ML. https://lnkd.in/eaucC-PS #Bioinformatics hashtag #DataScience hashtag #ComputationalBiology hashtag #AI hashtag #ML

The #G7 Science and Technology Ministers’ Meeting Communiqué issued at the end of the meeting held in Bologna and Forlì from 9 to 11 July 2024, underscores the pivotal role of science, technology, innovation, and higher education in promoting a sustainable future. With regard to #AdvancedTechnologies, the communiqué stresses the importance of international cooperation in advanced research on AI, #quantumtechnologies, and biotechnology to ensure their safe, secure, ethical, and responsible development. Specific mention is included about #semiconductors, recognised as essential for advancements in AI and quantum technologies. The meeting also included discussions on various priority areas such as research security, open science, science communication, and the role of research infrastructures. The full text is available at https://lnkd.in/e3v7vH4x #G7Meetings #QTI #QuantumTelecommunicationsItaly #QKD #QuantumKeyDistribution