HomeAI ScienceRevolutionary AI collaboration set to change the future of experimentation!

Revolutionary AI collaboration set to change the future of experimentation!

MERCK KGaA RELEASES GROUNDBREAKING AI-DRIVEN EXPERIMENTATION PLANNER

Pioneering collaboration to drive self-driving labs of the future!

Merck KGaA, Darmstadt, Germany, has just made a jaw-dropping announcement – their AI-driven experimentation planner, Bayesian Back End (BayBE), is now open source! Teaming up with the Acceleration Consortium, these trailblazing leaders have made BayBE available on GitHub, under an unrestricted Apache 2.0 license. With this daring leap into open source, Merck KGaA and the Acceleration Consortium are set to revolutionize the world of self-driving labs.

Unveil of the self-driving labs goldmine

Merck KGaA and the Acceleration Consortium are on a mission to shake up the science and tech world. Meet Alán Aspuru-Guzik, Professor of Chemistry and Computer Science at the University of Toronto, and Director of the Acceleration Consortium who recently launched a seven-year program worth CA$200 million, supported by the Canada First Research Excellence Fund. He says this is a game-changer, and boy, is he right! The release of BayBE will change the way experiments are designed and conducted, fast-tracking discoveries like never before.

Merck KGaA is getting its digital groove on

Laura Matz, Chief Science and Technology Officer at Merck KGaA, Darmstadt, Germany, says BayBE unites advanced technologies under one friendly umbrella, making them useful for industrial purposes. With their sights set on powering industries like healthcare, life science, and electronics, they continue to push the boundaries with digital tools like BayBE. The science and tech giant aims to disrupt the status quo with this remarkable data-powered innovation.

BayBE makes experiments smarter and faster

BayBE, the result of a powerful joint effort across all three business sectors of Merck KGaA, Darmstadt, Germany, is designed to step up experimental planning by providing recommendations for the next best experiment, guaranteeing superior results in record time. This “brain” for automated equipment acts as a catalyst for entirely closed-loop self-driving laboratories, taking the guesswork out of experimentation.

Want to see BayBE in action?

BayBE software is already flexing its muscles in several use-cases at Merck KGaA, Darmstadt, Germany. From VRP ExcipientFinder to self-driving autonomous flow chemistry, BayBE’s impact is undeniable. But, what could it mean for you? Let’s hear it from you! Share your thoughts in the comments section below and let’s have a digital pow-wow!

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