Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

ML algorithms can forecast project timelines and identify ... and tailor software to individual user preferences. How does machine learning improve software development processes? Machine learning ...

This work explores the development of data analysis routines specialized in identifying plastic components from TGA-FTIR. A dedicated spectral library and a matching algorithm ... TGA-FTIR. Machine ...

Machine learning algorithms have played a significant role in the creation ... Random Forest, Multi-layer Perceptron (MLP), and Decision Trees (DT) for the Wisconsin Breast Cancer dataset. Results ...

2504.17728v1 null 2025-04-24 Optical to infrared mapping of vapor-to-liquid phase change dynamics using generative machine learning Siavash Khodakarami ... 2504.17574v1 null 2025-04-24 When Does ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

An automated machine-learning program developed by researchers ... bone density scans taken during routine clinical testing. The algorithm shortens the timeframe to screen for AAC significantly ...

Let’s discuss how machine learning is advancing web app security. Machine learning-capable security systems use algorithms that learn from data to detect and respond to security threats instead ...