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

Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple ...

Machine Learning (ML) and Deep Learning (DL) are branches of Artificial Intelligence (AI). ML helps computers learn from data ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

When it comes to tech, most don't think too much about how things like NPUs and GPUs work. But the differences between them ...

Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is ...

Professors Decebal Mocanu and Alexandre Tkatchenko have recently received awards from Google to finance their research on machine learning. Congratulations!Understanding complex biological systems ...

Gibaldi and his colleagues have since analysed several open-access MOF databases commonly used for machine learning and found that more than 40% of the crystal structures in the databases contained ...

Now in its eighth year, Design World’s LEAP Awards showcase the best engineering innovations across several design categories ...