The Fermi surface serves as critical information for determining the electronic properties of materials. Its morphology, which evolves in response to crystal structure, elemental composition, and band ...

Contributed by Laura Gagliardi; received April 30, 2025; accepted October 17, 2025; reviewed by Clémence Corminboeuf, Seyed Mohamad Moosavi, and Veronique Van Speybroeck This contribution is part of ...

Satellite imagery has enabled global mapping since the launch of Landsat 1 in 1972. But assigning each pixel just one label is no longer sufficient for many applications. Foundation models like ...

This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...

The Araripe Manakin (Antilophia bokermanni) is one of the rarest birds in the world, found only in a tiny forested valley in Brazil at the base of the Araripe Plateau. This critically endangered ...

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.

Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom Cambridge Centre for Advanced Research and Education in Singapore, CARES Ltd., 1 CREATE ...

Long-Term Survival and Biomarker Analysis Evaluating Neoadjuvant Plus Adjuvant Relatlimab (anti-LAG3) and Nivolumab (anti-PD1) in Patients With Resectable Melanoma Our study included a broad cohort of ...

In case-control single-cell RNA-seq studies, sample-level labels are transferred onto individual cells, labeling all case cells as affected, when in reality only a small fraction of them may actually ...

The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide ...