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 ...

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

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

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, ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

If businesses want to take full advantage of AI, they must get their data in order. Semantic analysis is the key that enables businesses to generate business insight and prepare for AI initiatives.

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

Chinese Academy of Sciences (CAS), has developed a machine learning (ML) model enhanced with expert knowledge to classify ...

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

The following is a summary of “Application of interpretable machine learning algorithm to predict lymph node metastasis in cutaneous malignant melanoma,” published in the April 2025 issue of ...