Meet our Accelerate keynotes – and register now to attend!
We’re excited to announce our keynotes for the Acceleration Consortium’s 2024 Accelerate Conference – register by June 26th before early bird prices increase.
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Accelerate Conference
August 6-9, 2024
Vancouver (in-person only)
With the conference less than 2 months away, we are excited to announce Seiji Takeda, Nadya Peek and Sergei Kalinin as our keynote speakers!
Seiji Takeda, IBM Research
Keynote talk: Project Rhizome: Multi-modal Foundation Models for Accelerated Material Discovery
Discover how IBM is utilizing Rhizome, a multimodal foundation model, to facilitate various downstream tasks in materials science and chemistry by leveraging its capability to handle diverse data modalities such as SMILES, SELFIES, molecular graphs, optical spectra, and more.
Seiji and his team at IBM have developed a number of material inverse design tools, including the cloud-based, AI-driven IBM Molecule Generation Experience.
Nadya Peek, University of Washington & Director of the Machine Agency
Keynote talk: Open-Source Hardware Ecosystems that Support Laboratory Automation Workflows
Learn how to use open-source hardware toolkits to create and customize laboratory automation workflows, promoting open and easily shareable scientific results.
Nadya’s Machine Agency research group at the University of Washington harnesses the precision of machines for the creativity of individuals.
Sergei Kalinin, University of Tennessee-Knoxville
Keynote talk: Integrating Autonomous Systems for Advanced Material Discovery: Bridging Experiments and Theory Through Optimized Rewards
Understand the principles and advancements in orchestrating autonomous experimental workflows for scientific research, focusing on the integration of automated and cloud labs, reward functions, and human-in-the-loop interventions.
Sergei was recently recognized by multiple organizations for his outstanding science and technical contributions in nanotechnology and microscopy.
Plus, you’ll have the chance to hear from an additional 50+ experts across AI and automation including:
Adam Gormley, Rutgers University
Automation and Active Learning for the Autonomous Design of Polymer Biomaterials
Jie Xu, Argonne National Lab
Polybot: An AI-Guided Robotic Laboratory Empowering Innovation in Polymer Electronics
Martin Burke, University of Illinois Urbana-Champaign
Imagine a World Where Everyone Can Make Molecules
Melodie Christensen, Merck
Algorithmic Process Optimization in Pharmaceutical Development
Milad Abolhasani, North Carolina State University
Data-Rich Autonomous Fluidic Labs for Accelerated Materials Discovery
Register for early bird tickets by June 26th and stay tuned for more details on Accelerate 2024 programming.