Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

SANTA CLARA, CA - April 13, 2026 - - As machine learning becomes integral to modern digital products, the demand for professionals skilled in MLOps (Machine Learning Operations) continues to rise. In ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Enterprises face challenges in preparing data for generative AI due to data quality and accessibility issues. Gartner ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Learn how AI in content marketing uses predictive personalization and machine learning to boost engagement, rankings, and ...