Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
News-Medical.Net on MSN
CRISPR-GPT helps scientists to generate designs, analyze data and troubleshoot design flaws
Stanford Medicine researchers have developed an artificial intelligence tool to help scientists better plan gene-editing ...
A research team from the University of Chinese Academy of Sciences has revealed the failure mechanism of diamond under ...
Professor Toshiaki Taniike is pioneering the integration of data science and materials chemistry to accelerate the discovery of advanced materials. His research in materials informatics uses machine ...
Tech Xplore on MSN
Data modeling and lab experiments could lead to energy-efficient paper manufacturing
Paper manufacturing is very energy-intensive, but there is great potential for improving energy efficiency. In a ...
ExtremeTech on MSN
US and UK Firms to Collaborate on Building Semiconductors in Space
As transistors get smaller, packing more of them into the tiny silicon dies, manufacturing becomes increasingly expensive and ...
See all the honorees of Fast Company’s 2025 Innovation by Design Awards in the experimental and conceptual design category.
Practical fusion power that can provide cheap, clean energy could be a step closer thanks to artificial intelligence. Scientists at Lawrence Livermore National Laboratory have developed a deep ...
Abstract: In this talk, I’ll discuss two suborbital balloon experiments to which my group is currently contributing: ASTHROS: the Astrophysics Stratospheric Telescope for High Spectral Resolution ...
Stemtree of Spring TX has announced expanded programming options for students seeking comprehensive science, technology, ...
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