Overview: AI is transforming materials science by dramatically reducing the time needed to discover and test new ...
A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
Machine learning algorithms can predict which candidates are more likely to succeed in a given role by analyzing past hiring ...
Students are increasingly drawn to AI and Machine Learning engineering degrees. While both fields involve computers and data, ...
The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
UCL joins global €60m AI-driven drug discovery initiative to generate open datasets and accelerate new medicines using AI models ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
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Model steering is a more efficient way to train AI models
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
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