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

Fluid mixing is an important part of several industrial processes and chemical reactions. However, the process often relies on trial-and-error-based experiments instead of mathematical optimization.

According to a recent study published in APL Photonics, a research team led by Prof. Liang Xu from the Hefei Institutes of ...

An artificial intelligence (AI) algorithm trained to listen to patients pass urine is able to identify abnormal flows and could be a useful and cost-effective means of monitoring and managing urology ...

Machine learning is becoming increasingly valuable in semiconductor manufacturing, where it is being used to improve yield and throughput. This is especially important in process control, where data ...

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

Machine Learning (ML) stands as one of the most revolutionary technologies of our era, reshaping industries and creating new frontiers in data analysis and automation. At the heart of this ...

Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users. Machine learning, and especially deep learning, have turned out ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...