Acceleration Consortium

The #ACSeminarSeries explores perspectives on the future of AI for science. We're proud to host experts who share cutting-edge research findings, enable collaborations, and offer training and upskilling opportunities. Missed any of our seminars? Watch them on our YouTube channel 💻 • The future of chemistry is self-driving with Alán Aspuru-Guzik • Strategy for Startups: Translating Ideas to Impact with Erin L Scott • Chemputation with Lee Cronin • End-to-End Drug Discovery and Development Using Generative AI and Robotics with Alex Zhavoronkov Watch now: https://lnkd.in/gvf6dsjx Our next AC Seminar takes place November 20th from 3-4 PM EST at University of Toronto featuring Emily Moore, Director of Troost Institute for Leadership Education in Engineering. Register for Emily's seminar "Integrating Sustainability into SDLs: Best practices, barriers and opportunities" https://lnkd.in/g4yknZae #AccelerationConsortium #Seminar #Chemistry #ArtificialIntelligence

Today we hosted #socialscience and #humanities researchers at University of Toronto - Rotman School of Management for a collaborative grant development workshop. This new grant stream will allow social sciences and humanities researchers to explore interdisciplinary questions at the interface of #ai, #automation, and materials discovery.   University of Toronto faculty will be able to apply to these grants in early 2025. Take inspiration from the ideas we brainstormed in our session below:  🔍 What are the consequences of speeding up science? Researchers could develop a frameworks for the ethical use of AI in scientific discovery or explore governance and policy models that balance innovation with societal values.  🍦What if we could make ice cream that requires slightly lower freezer temperatures, helping cut down on energy usage for retailers? Researchers could assess the resulting market potential and downstream impacts on food sectors.  🌎 How can emerging technologies like AI integrate Indigenous knowledge? Researchers could develop frameworks that respect and enhance land stewardship and Indigenous ways of knowing and being.  📈 What happens to labor markets as AI and automation continue to disrupt chemical and pharmaceutical sectors? Research could project new models for training to support industry through technological change.  If you have questions or want to learn more, reach out to acceleration@utoronto.ca. We look forward to funding projects that will spark positive change across disciplines.   #ResearchFunding #EmergingTech #EthicsInTech #InterdisciplinaryResearch #Innovation #SustainableFuture  #ResearchFunding #EmergingTech #EthicsInTech #InterdisciplinaryResearch #Innovation #SustainableFuture

Intrepid Labs is the result of interdisciplinary academic collaboration at its finest—blending expertise in drug formulation and AI. Catch my full discussion on the Disruptors podcast to hear how we’re nurturing the next wave of talent and innovation right here in Canada: https://lnkd.in/gd6BbsFw #drugformulation #AI #innovation Leslie Dan Faculty of Pharmacy, University of Toronto Acceleration Consortium

#JOB OPPORTUNITY: We’re hiring a data engineer to manage and optimize data infrastructure that will support high-impact research projects at University of Toronto's Acceleration Consortium. If you're an expert in python who loves designing highly complex software architecture and leading IT projects we want to hear from you! It's a great time to join our team and be part of our incredible $200M grant from the Canada First Research Excellence Fund (TIPS-SPIIE) to support our work in #AiforScience. Learn more + apply ➡️ https://lnkd.in/gFKbwt6j

Nous venons de passer 2 belles journée à Acceleration Consortium de University of Toronto pour découvrir les recherches qui s’y déroulent ainsi qu'une excellente journée d'atelier de travail pour continuer à développer des collaborations entre nos instituts pour accélérer les découvertes de matériaux. Merci à AC de nous avoir si bien accueillis. We just spent 2 amazing days at Acceleration Consortium de University of Toronto learning about the research done, as well as a great workshop day to continue developing collaborations between our institutes. Let’s keep working together to accelerate the material discoveries. Thanks you AC for hosting us! IVADO Faculté des arts et des sciences de l'Université de Montréal #advancedmaterials #materialforenergy #quantummaterials #robotics #selfdrivinglabs #canadaresearch

Happy to see this work by Sartaaj Khan out (also accepted in #NeurIPS 2024 - #AI4Mat!) 🎉 💁♂️ When a new #material is made—and believe me, there are tons of them each year (over 5,000 #MOFs alone in the past year!)—we want to know all its possible applications. Even if we designed it for a specific purpose, it might have potential uses in totally different areas. So, how can we quickly link a material to its best uses right after it’s created? 💡 Our solution is a #multimodal #machinelearning approach that uses X-ray diffraction and chemical precursors to connect newly made MOFs to their potential applications! 🕵♂️ We even did a fun "time-travel" experiment to see if we could find materials suitable for #carboncapture that were originally made for other applications—and guess what? We found a couple! We’d love to hear what you think about our work! Thanks to Natural Sciences and Engineering Research Council of Canada (NSERC), Acceleration Consortium, Chem Eng at UofT, University of Toronto Engineering and National Research Council Canada / Conseil national de recherches Canada for supporting our work. More info on the preprint, code repository, and web app is below. 👇 #AI #Materials #chemicalengineering #AI4Science #AI4Materials #directaircapture #carboncapture #MOF

Our chairholder, Carlos Silva Acuña, is participating in the Acceleration Consortium Symposium at the University of Toronto in his capacity as Director of the Institut Courtois. A very exciting collaboration between our institute and the AC! Notre titulaire de chaire, Carlos Silva Acuña, participe au symposium du Acceleration Consortium en sa qualité de directeur de l’Institut Courtois. Une collaboration très enthousiasmante entre notre institut et le AC !

Excited to share a new paper from our group on predicting drug solubility in binary solvent mixtures at various temperatures using machine learning, published in Journal of Cheminformatics (link below). This work was led by Dr. Zeqing Bao who has also just successfully completed his PhD.  Big congrats Zeqing! The solubility of drugs is of critical importance in a number of phases of drug development including drug discovery, drug analysis and formulation design. In order to accurately predict the solubility of a drug, we developed machine learning (ML) models trained on a comprehensive dataset of 27,000 solubility data points across various solvent mixtures and temperatures. Using gradient boosted models with their hyperparameters tuned using Bayesian optimization, we achieved a mean absolute error (MAE) of 0.33 for LogS on a holdout set. Validated in a prospective study, our models accurately predicted drug solubility in complex solvent conditions, especially for drugs with features that closely align with the solutes in the dataset. To support future research, we’ve made our dataset and code openly available. Link to article: https://lnkd.in/gzCsTrtJ Jeff Watchorn Gary Tom Alán Aspuru-Guzik Austin Cheng Leslie Dan Faculty of Pharmacy, University of Toronto Acceleration Consortium

Excited to see this work out in the public! It highlights the backstory of a successful collaboration between Natural Resources Canada (NRCan) and Telescope Innovations Corp. tackling a bigger problem. At its core, this paper was a trust-building exercise between a group of great experimentalists (Ryan Jansonius, PhD and Corey Sanz) who had limited experience with #artificialintelligence and a group of computationalists (Shayan Mousavi M. and myself) with zero experience in battery precursor manufacturing. By starting with small straightforward batch of HTE experiments that could be optimized using (relatively) straightforward tools we were able to efficiently knock down trust barriers between the groups. We got to see how devoted our experimental collaborators were at doing the science right. They learned how skeptical we were regarding how "good" our models really were and how much we cared about being able to understand they "physical plausibility" of the model predictions. As good as this paper is, I'm even more excited to share the next phase—where trust and overcoming challenges led to something truly groundbreaking.

𝘜𝘱𝘥𝘢𝘵𝘦: 𝘚𝘰𝘤𝘪𝘢𝘭 𝘴𝘤𝘪𝘦𝘯𝘤𝘦 𝘸𝘰𝘳𝘬𝘴𝘩𝘰𝘱 𝘢𝘯𝘥 𝘩𝘶𝘮𝘢𝘯𝘪𝘵𝘪𝘦𝘴 𝘸𝘰𝘳𝘬𝘴𝘩𝘰𝘱 𝘩𝘢𝘷𝘦 𝘣𝘦𝘦𝘯 𝘮𝘦𝘳𝘨𝘦𝘥 𝘢𝘴 𝘰𝘧 𝘖𝘤𝘵𝘰𝘣𝘦𝘳 31𝘴𝘵. 𝘖𝘯𝘦 𝘦𝘷𝘦𝘯𝘵 𝘢𝘥𝘥𝘳𝘦𝘴𝘴𝘪𝘯𝘨 𝘣𝘰𝘵𝘩 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘢𝘳𝘦𝘢𝘴 𝘸𝘪𝘭𝘭 𝘵𝘢𝘬𝘦 𝘱𝘭𝘢𝘤𝘦 𝘰𝘯 𝘕𝘰𝘷𝘦𝘮𝘣𝘦𝘳 6𝘵𝘩. University of Toronto faculty are invited to join us for a #grant development workshop keyed to #socialsciences and #humanities research! 🌟 The Acceleration Consortium is excited to fund interdisciplinary projects investigating the intersection between #ai, #socialsciences and #humanities. Learn about the AC and enjoy lunch while helping us create grants that will generate opportunities for you! 𝗔𝗖 𝗚𝗿𝗮𝗻𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 - 𝗦𝗼𝗰𝗶𝗮𝗹 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗛𝘂𝗺𝗮𝗻𝗶𝘁𝗶𝗲𝘀  Date: Wednesday November 6th, 11:45 AM - 1:00 PM 📍Location: Rotman School of Management (105 St George St) Register: https://lnkd.in/gGNFfWB5 𝗔𝗖 𝗚𝗿𝗮𝗻𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 - 𝗛𝘂𝗺𝗮𝗻𝗶𝘁𝗶𝗲𝘀 (merged with November 6th) Space is limited - secure your spot today! 💼✨ #UniversityofToronto #GrantWorkshop #ResearchFunding #AIResearch