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Artificial Intelligence Driven Autonomous Lab by IBM & Chemspeed

September 10, 2020

The IBM and Chemspeed collaboration opens doors for a new era in synthetic chemistry with wide implications for the pharmaceutical and chemical industry.

Teodoro and his team push the boundaries of AI-driven lab-automation at IBM Research Europe and have successfully implemented predictive retro-synthesis in silico with the autonomous execution by a Chemspeed automated synthesis workstation.

Teodoro provides an overview of the project and how digitalization will enable us to accelerate drug development.

Teodoro is a Distinguished Research Scientist and Manager of the Future of Computing for Accelerated Discovery in the department of Cognitive Computing and Industry Solutions at the IBM Research Laboratory in Zurich.

Webinar

For more information about Chemspeed solutions:

FLEX ISYNTH

ISYNTH REACTSCREEN

FLEX AUTOPLANT

MULTIPLANT / AUTOPLANT PRORES

For details please contact [email protected]

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Read more about High-throughput solid microsampling through stochastic robotic automation
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High-throughput solid microsampling through stochastic robotic automation

Solid sampling at the sub-milligram and milligram scale remains a major bottleneck for high-throughput chemistry or material sciences, as existing approaches rely on manual handling or slow deterministic microsampling that do not readily scale.

Here we present STORMS, an automated STOchastic Robotic MicroSampling system that enables fast, reliable and parallel sampling of solid materials at sub-milligram and milligram masses. 

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