Noncommunicable diseases like diabetes and cancer prematurely claim over 15 million lives each year. Bringing a new drug to market takes an average of 8.5 years.
In the quest for clean energy, better batteries with higher performance and lower costs are essential. Yet, new materials often take decades to move from the lab to widespread application.
Could self-driving science, where deep learning and robotics unite to test and validate scientific hypotheses, accelerate progress in health, climate change, and other fields?
Recently, I’ve had the privilege of speaking with a number of experts in life and materials sciences to explore this emerging approach to research.
To foster more interest and investment in this potentially transformative field, I will be open-sourcing my research through an opportunity map that’s freely shareable under Creative Commons license.
To kick things off, I’m excited to share a video intro: Self-Driving Labs for Science: What They Are, Their Promise, and Their Risks:
An accompanying mural – with links to supporting articles and a listing of subject matter experts consulted – is accessible here: https://bit.ly/self-driving-science-map.
I’d love to hear your feedback and thoughts. Here’s to the future of science!
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