The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Science publisher Springer Nature is investigating a new machine learning book filled with fabricated, AI-hallucinated citations, highlighting a growing threat to academic integrity.

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

This article reviews the foundations and applications of machine learning force fields (MLFFs) in electrochemistry, highlighting their role as a transformative tool in materials science. We first ...

This paper offers a comprehensive survey of recent advancements in machine learning (ML) and deep learning (DL) models, specifically focusing on their applications in text classification, emphasizing ...

Although prior to Recentive one could argue that the trained machine learning model represents a technological improvement, the Recentive decision makes clear that such arguments are insufficient ...

The application of multimodal data fusion extends to text generation for agricultural decision support. For example, deep learning models trained on multimodal datasets can generate descriptive text ...

Hardware Graphics Cards AMD just gave us our first glimpse of FSR 4's 'Redstone' update, with a host of machine learning-based improvements News By Andy Edser published 21 May 2025 ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry.