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 ...

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 ...

A human infant is born with roughly twice as many synapses as it will eventually need. Over the first few years of life, the ...

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

The proposed deep learning model can accurately predict drug-drug interactions for even new, unseen drugs, representing a new paradigm JEONBUK-DO, South Korea, March 11, 2026 /PRNewswire/ -- Managing ...

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: Urbanization is increasing the presence of various utilities in the ground, while at the same time underground cavities and sinkholes pose a major threat to the civilization and structural ...

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...