Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

A research team from Sichuan University has proposed a lightweight and robust entropy-regularized unsupervised domain adaptation framework (LRE-UDAF ...

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 ...

Find the latest Deep Learning news from WIRED. See related science and technology articles, photos, slideshows and videos.

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, ...

BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, BCHPY), the world’s first commercial producer of ultra-low-power, neuromorphic AI techn ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Struggling with microseismic signal classification in deep underground engineering? Researchers from Sichuan University ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

The research identifies several limitations that must be addressed for large-scale deployment. One of the primary challenges ...

Abstract: Forest tree species classification has great significance for sustainable development of forest resource. Multisource remote sensing data provide abundant temporal, spatial, and spectral ...

在植物学、农业科学和环境监测领域，花粉识别与分类是一项基础而重要的工作。传统方法依赖专家经验 ...