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 ...
A new review shows how AI helps food companies predict formulation, processing, and sensory outcomes. AI does not ...
Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Even in the best-case scenario, it’s incredibly disruptive. And this is where you’ve been quoted saying that A.I. will disrupt 50 percent of entry-level white-collar jobs. On a five-year time horizon, ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
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 ...
Artificial intelligence has become an integral part of modern cybersecurity operations. As digital threats grow in scale and ...
A research team led by Prof. Zhonghua Li from Harbin Institute of Technology has discovered how spin density symmetry breaking in single-atom ...
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 ...
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