BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...

Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.

Pro-Palestinian Arab organizations in Tunisia have launched a new campaign aimed at criminalizing normalization with Israel, JPost reported. The initiative, titled “One Million Signatures to ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...

Johnson commands a big payday to star in films — and that usually makes sense given much of his box office track record. But this wasn’t a standard vehicle for the Rock, so he should have been willing ...

The Center for American Progress’ data dashboard allows users to explore national- and state-level data trends on a range of child care and early learning topics. Read more and explore additional ...