Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
A new technique which slashes the time taken to diagnose microbial infections from days to minutes could help save lives and ...
Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
QINHUANGDAO, HEBEI, CHINA, January 8, 2026 /EINPresswire.com/ -- The global agricultural landscape is in a phase of ...
While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...
Abstract: The trajectories of pedestrian movements involve uncertainty, requiring a predictive probability model capable of modeling the underlying multimodality. To predict the trajectory of ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Diffusion Language Models (DLMs) explores the potential of diffusion-based models to exceed the generative quality of traditional autoregressive language models, while overcoming their current ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Innovative drugs represent a critical approach to addressing ...
Abstract: Unsupervised person re-identification (Re-ID) requires learning semantic representation without identity labels. Existing methods entangle identity-related person features with ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback