Struggling with microseismic signal classification in deep underground engineering? Researchers from Sichuan University ...
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 ...
Tech Xplore on MSN
This AI mines the numbers buried in scientific papers and turns them into usable data fast
Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.
Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems ...
The research identifies several limitations that must be addressed for large-scale deployment. One of the primary challenges ...
Effective AI defense requires treating AI systems as lifecycle assets with multiple protection layers. A resilient ...
This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...
How mature is your AI agent security? VentureBeat's survey of 108 enterprises maps the gap between monitoring and isolation — ...
These tables present key health indicators from all years of the continuous New Zealand Health Survey for adults and children, broken down by geographic areas and demographics.
Zelim has announced that its AI-enabled ZOE man-overboard detection (MOB) system has received official ISO 21195:2020 ...
Apr 15, 2026 // AI governance requires better workforce data, with partnerships helping governments measure talent flows and close policy blind spots, writes Siddhi Pal.
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