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Don’t forget to apply to the BioMap BioX program! Targeting four key areas — pharmaceuticals and health, green technology, industrial innovation, and consumer product innovation — BioMap will select and support teams from universities and startups, providing technical support and facilitating connections with global companies and investors in the life sciences and bio-computing sectors. Whether you are: - a cutting-edge life sciences researcher exploring the underlying mechanisms of biology through protein perturbations - a protein industry scientist designing new protein products - a drug discovery scientist solving large molecule design challenges with new technologies - or an innovative young entrepreneur using AI to change the world We welcome you to join the initiative! Don’t miss the opportunity to take advantage of BioMap’s 100-Billion parameter large protein language model and platform ecosystem capabilities to support your transition from early-stage research to marketable products and industrial-scale companies. Apply now: https://buff.ly/3VS90sU

BioMap will be attending the International Conference on Machine Learning (ICML) 2024 in Vienna from July 21st-26th. 🇦🇹 We’re looking forward to coming together with academic and industry peers to explore the latest advancements in machine learning and AI. 💡   During the ‘AI for Science - Scaling in AI for Scientific Discovery’ workshop on Friday 26 Jul, 9:00 a.m. - 5:00 p.m. CEST, BioMap’s CTO Le Song will be presenting our latest research on “Training Compute-Optimal Protein Language Models”. This research, which involved extensive training of over 300 models, has yielded significant insights into the relationship between model size, training data, and performance.   The study introduces a novel approach to address the issue of overfitting and performance plateaus in PLMs by utilizing a vast dataset of 194 billion unique tokens from 939 million protein sequences. It reveals distinct scaling laws for both masked language modelling (MLM) and causal language modelling (CLM), demonstrating the effectiveness of transferring knowledge from CLM to MLM through scaling behaviours.   ✅ Sign up for the workshop here: https://lnkd.in/gcAfyWnW   #MachineLearning #ML #AI #ArtificialIntelligence #Science #Technology #Innovation #BioMap #ICML [ICML] Int'l Conference on Machine Learning

High-performing protein prediction models can potentially enable more accurate, efficient, and innovative drug development workflows💊💉 While AlphaFold3 is often considered to be the industry performance benchmark, a new comparison study has demonstrated that there are alternative approaches to the application of AI in protein design that can yield equally impressive or even superior performance. The study compared xTrimoDock, the antibody docking prediction model from BioMap, to Google DeepMind’s new AlphaFold 3. Preliminary results have shown that xTrimo outperforms AlphaFold 3 in its accuracy in predicting the structure and binding of selected proteins, including antibodies and other biotherapeutics, with their targets ⚙️🧬 Contact us to learn more.

We’re excited to announce the launch of the BioMap Bio-Computing Innovation Accelerator Program – BioMap BioX. This beneficial initiative will nurture local scientific innovation teams and attract global innovators, starting from Hong Kong, to promote the development of the global AI for life science ecosystem. BioX will focus on four key industries: - Pharmaceuticals and health - Green technology - Industrial innovation - Consumer product innovation Are you a researcher, scientist or entrepreneur in these fields? In this unique programme, you will be able to take advantage of BioMap’s expert technical support and build connections with global companies and investors in the life sciences and bio-computing sectors. Don’t miss this valuable opportunity to fast-track your project’s transition from early-stage research to marketable products and industrial-scale companies. Apply here: https://buff.ly/3VS90sU

Our platform makes a wide range of AI models available to customers to utilise for optimisation of their biologics. In addition, customers can upload their own data to the platform to further fine-tune the models for their own research – creating custom models that benefit from the extensive data held within our large language models. #Technology #Innovation #AI #data #LargeLanguageModels #Research

On Monday 24th June, BioMap hosted the first "International Bio-Computing Innovation Summit" in Hong Kong. The event featured keynote speeches and panel discussions with industry experts, including senior executives from multinational pharmaceutical companies Sanofi and Eli Lilly China, green technology companies LanzaTech and Syngenta, and an academic expert from Rutgers University, USA. We enjoyed sessions covering a wide range of fascinating topics, such as accelerating new drug development to improve human health and advancing green technology innovation for global sustainable development. Thank you to all our speakers for sharing your expertise and insights! Maria Wendt, Marilene Pavan, Kevin Donohue, Ryan Wang, Sagar Khare, Wei LIU, Per Jr. Greisen & Le Song. And thanks to all our partners, supporters and attendees – we hope to see you all again soon! #BioComputing #AI #LifeSciences

We’re excited to announce a prestigious line-up of speakers for next week’s Bio-Computing Summit! Global leaders in pharma, tech and industry will share their insights into the future of AI in life sciences, covering a diverse range of topics from drug discovery to green tech. Join us on 24th June to be part of the conversation shaping the bio-computing industry. Keynote speeches include: - “Faster, better, smarter biologics – going for Gold with AI,” by Maria Wendt, Global Head (VP) of Digital & Biologics Strategy and Innovation, Sanofi - “Carbon Recycling for a Circular Bioeconomy,” by Marilene Pavan, Head of Innovation at LanzaTech - “New opportunities in agricultural research enabled by AI,” by Kevin Donohue, Head of Bioinformatics at Syngenta Other speakers include: - Wei LIU, Co-founder and CEO of BioMap - Ryan Wang, Vice President, Head of Eli Lilly China, Innovation & Partnerships - Per Jr. Greisen, President of BioMap - Le Song, CTO of BioMap - Sagar Khare, Professor of Chemistry and Chemical Biology at Rutgers University - Hong Kong Government representatives Only a few days left to secure your place – don’t miss out, book now! https://lnkd.in/eVazJXem #BioComputing #AI #LifeSciences

Join us at the Bio-Computing Summit for an incredible line up of speakers from global pharma & tech, as well as excellent networking opportunities with industry, government, and investors. Event highlights: • Exploration of applications of large language models in life sciences, including the need for a life science foundation model, practical applications, AI's role in drug discovery and green tech. • Insights from leading executives and scholars on the future of AI in life sciences, with ample networking opportunities. • In-depth understanding of Hong Kong’s innovation policies through interactions with government representatives. The date is fast approaching and there are limited spaces available. Don’t miss this opportunity! Secure your place now. https://buff.ly/4b5nJ9u #AI #BioComputing #Innovation