Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...

When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some ...

This research assesses data provenance in widely used health datasets, revealing flaws that could undermine clinical prediction models and patient care.

Summary: A new study utilizes Koopman operator learning to prove that certain complex, chaotic systems have fundamental ...

How a team at UC Berkeley devised a multi-sensor smell system and combined it with machine learning to create a more ...

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Companies working at the frontier of aerospace, energy and computing are constantly looking for new materials to improve performance. But in order to understand how those materials will actually ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...