If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

The Wheeling Police Department (WPD) launched its National Integrated Ballistic Information Network (NIBIN) system. This cutting-edge forensic tool is expected to significantly enhance law ...

Despite the centrality of large language models (LLMs) to modern AI workflows, the study confirms that prompt engineering ...

In collaboration with Chicago Booth, the Master’s Program in Computer Science (MPCS) offers a distinctive joint MBA/MPCS ...

Researchers at the Fraunhofer Institute for Factory Operation and Automation IFF have developed cognitive robot capabilities ...

Researchers have developed a machine learning model called DreaMS, which significantly accelerates the analysis of previously unknown molecules. The study is published in Nature Biotechnology.

The new method uses a light-based imaging technique known as surface-enhanced Raman spectroscopy, which analyzes how light interacts with molecules, tracking the unique patterns, or spectra ...

This research builds on prior work in spinodal microstructure design, scientific machine learning, and neural operator models for multiscale systems. Looking ahead, the Northwestern team is looking to ...

Machine learning ... fault in machine learning projects. Overfitting happens when a model is trained to fit too closely to a training set. This results in poor performance on new data.

Researchers used machine learning to generate ... and other ecological projects. Ecologists have long collected data on tree species to better understand a forest's unique ecosystem.

The study presents a unique ML-HDPM approach that incorporates feature selections, data balance, and machine learning to improve cardiovascular disease prediction. The balanced F-values for ...

Zhang is the first author on the paper that explains the creation and results of this new machine learning model ... The overall goal of this project is to develop a machine learning method capable of ...