AI & automation are revolutionizing materials discovery, enabling faster, and more sustainable breakthroughs across scientific fields.

Three leaders from Adobe Research met with Northwestern students and faculty members to discuss potential research ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

The study shows that machine learning and deep learning algorithms can accurately classify tree species using individual tree point clouds, and the operation process of PointMLP is more concise and ...

Researchers have developed a machine learning model that predicts Cas9 proteins that can be tailored with designer properties for therapeutic use.

This consists of 15 biochemical tests, including serum phosphate. Our aim was to understand if abnormalities in serum phosphate could be predicted, using a machine learning algorithm (MLA) by other ...

In this paper, we propose a machine learning-based automated framework for algorithm selection and configuration for MPC applications. This framework aids the online implementation of MPC by selecting ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered ...

Based on the research on the application of machine learning (ML) methods in hydraulic fracturing, this paper analyzes the limitations and applicability of classical ML algorithms as well as ...