A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...
A brisk theatrical thriller, “Data” perfectly captures the slick, grandiose language with which tech titans justify their ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
Popular paperbacks are being translated with the help of machines, raising anxiety among professionals in the field.
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
Spin density symmetry breaking in single-atom catalysts can significantly enhance the performance of hydrogen evolution ...
Artificial intelligence (AI) and machine learning (ML) hold significant promise in advancing the field of toxicology by ...
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
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