Turbocharge R&D with Self-Driving Labs and Bayesian Optimization
Loic Roch a
a Atinary Technologies, Route de la Corniche, 4, Epalinges, Switzerland
Proceedings of MATSUS Fall 2024 Conference (MATSUSFall24)
#AMADISTA - Accelerated Materials Discovery Through Automation and Machine Learning
Lausanne, Switzerland, 2024 November 12th - 15th
Organizers: Philippe Schwaller, Tobias Stubhan and Christian Wolff
Invited Speaker, Loic Roch, presentation 340
Publication date: 28th August 2024

  In this talk, I will introduce Atinary’s AI platform and self-driving labs technology solutions – SDLabs – and will explain how users can significantly accelerate and enhance R&D with a data-driven approach. Additionally, Loïc will present various use-cases demonstrating unprecedented acceleration and target achievements.

 

Scientists and operators can connect to SDLabs in the cloud and seamlessly integrate lab equipment and off-the-shelf robotic platforms into their workflows after just a few hours of onboarding. This allows companies and R&D labs to deploy AI and machine learning solutions seamlessly, without requiring coding or ML expertise, starting with simulations or directly within their existing wet lab workflows, with or without robots.

 

Atinary’s AI solutions enable users to tackle complex optimization and discovery challenges that current methods cannot handle, including multi-objective and multi-parameter optimizations, categorical variables, and physicochemical descriptors. We also provide algorithms for various constrained optimizations.

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