On April 18, 2025, the Federal Circuit remained consistent with previous Alice decisions by holding that four machine ...

In a decision with implications for machine learning-related patent filings, the Federal Circuit in Recentive Analytics, Inc.

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 were created to identify ...

Making your data AI ready – data agility is vital for successful AI applications. Semantic data analysis allows for efficient data integration, classification and contextualization, which will enable ...

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.

Here, we developed interpretable machine learning models that can classify uranium minerals by secondary oxyanion chemistry and other physicochemical properties based solely on Raman spectra. This new ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. Proteomics ...

A study published last week used a wave flume to evaluate the effects of waves on small-diameter pipelines. The experimental ...

In today’s data-driven world, organizations are continuously seeking ways to improve their data analytics capabilities. Traditional business intelligence (BI) tools have provided significant insights, ...

The course focuses on methods for modern data analysis both within a practical and theoretical framework. Fewer assumptions are made when using these methods, such as machine learning or statistical ...