Machine learning methods move self-driving labs closer to materials discovery at scale
Machine learning doesn't replace human intelligence, but it can outlast human endurance, which makes it a helpful tool for chemistry and materials discovery. Scientists know machine learning models can make predictions based on the vast reams of data they are trained on, but can they take it a step further and massively scale up testing those predictions?
The tech section covers stories about technology making life better, not just more profitable. Open-source tools reaching new audiences, accessibility breakthroughs, AI applications in healthcare and education, infrastructure improvements that quietly make cities work better. Product launches and funding rounds are excluded unless they deliver tangible public benefit.
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An interdisciplinary team of researchers has developed and demonstrated a step-by-step framework called Socratic Challen…
Researchers affiliated with UTHealth Houston, competing under the team name Novamab AI, placed among the top five teams …
Water stored in dams and reservoirs for humans to use often evaporates, especially in hot regions like southern Africa. …
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