Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences has developed a machine learning (ML) framework to analyze virus filtration ...

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes.

Increase agricultural productivity in India using machine learning-based crop recommendation systems for improved yields and ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.

Machine learning model helps identify patients at risk of postpartum depression Date: ... The researchers are prospectively testing the model's accuracy, an essential step toward real-world use, ...