Past Events

Join us for a discussion led by Emily Moore on how Self-Driving Lab research can successfully integrate social, environmental and economic factors. Discover how these advancements are shaping the future of sustainable solutions and explore insights from current research at the University of Toronto on best practices and new possibilities for creating a sustainable advanced material research community.​

Learn about the AC and enjoy lunch while helping us co-develop granting programs that will meet the needs and interests of social science and humanities researchers and generate exciting funding opportunities for you!

The Acceleration Consortium Fall Research Symposium is designed to showcasing findings made through the AC grant program. Join us for a day of talks, poster presentations, demos and networking opportunities for the advanced material discovery research community.

Explore AI's transformative role in drug discovery and development, featuring case studies, industry insights, and discussions on generative AI's applications in multi-species life models and aging research in this AC Seminar led by Alex Zhavoronkov founder and CEO of Insilico Medicine!

We’re excited to announce that the Acceleration Consortium’s 2024 Accelerate conference will take place in Vancouver, August 6 – 9, cohosted with our partner, the University of British Columbia. Based at the University of Toronto, the AC is a global community of academia, government, and industry who are accelerating the discovery of new materials and molecules needed for a sustainable future.

Join Dr. Christine Allen and Dr. Frank Gu at monthly meet-ups for U of T trainees interested in learning about SDLs. Meet ups take place from 3:00 PM - 4:00 PM on the last Tuesday of every month and foster a community of researchers focussed on integrating AI, automation and/ or advanced computing in formulation development

Join Dr. Christine Allen and Dr. Frank Gu at monthly meet-ups for U of T trainees interested in learning about SDLs. Meet ups take place from 3:00 PM - 4:00 PM on the last Tuesday of every month and foster a community of researchers focussed on integrating AI, automation and/ or advanced computing in formulation development

Lee Cronin will explain why ‘Chemputation’ is a universal approach to explore chemical reactivity, discovery of new reactions, and molecules, as well as program chemical synthesis that allows us to translate all procedures, manual or automatic, into a executable chemical programming language that can run the processes on a chemputer.

Discover Lilo Pozzo's AI-driven experiments using open-source approaches for soft matter research at our next talk in the AC Seminar Series!

The Acceleration Consortium and Merck KGaA are hosting a 2-day virtual hackathon for researchers to formulate and execute projects to assess existing Bayesian optimization tools, reduce their barriers to use, and adapt them to real-world problems.

Join Dr. Christine Allen and Dr. Frank Gu at monthly meet-ups for U of T trainees interested in learning about SDLs. Meet ups take place from 3:00 PM - 4:00 PM on the last Tuesday of every month and foster a community of researchers focussed on integrating AI, automation and/ or advanced computing in formulation development

To kick off the Acceleration Consortium's seminar series, AC director Alán Aspuru-Guzik will provide an overview of the growing field of self-driving laboratories (SDLs). Presented both in-person and online, the AC seminar series will explore diverse perspectives on the future of AI for science, present cutting-edge research findings, enable collaborations, and offer training and upskilling opportunities.

This International Women’s Day (IWD), join us for a free, online discussion to celebrate women driving innovation through technology.

Join us to explore some of the latest tools and technologies driving the lab of the future with leaders from a variety of companies working in the space.

Want to learn more about scientific database management? Have ideas about how to store and analyze both computational and experimental results?

Join us to explore open challenges and opportunities for string-based representations in chemistry. Presented in partnership with IOP Publishing's Machine Learning: Science & Technology (MLST) journal.