Google launched Universal Commerce Protocol to connect AI agents with retailers at scale, but stopping fraud requires agent trust management and intent detection.
Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...
Tech Xplore on MSN
Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
The Daily Galaxy on MSN
Scientists admit it’s possible: Alien artifacts could be hiding in our solar system
Scientists are sharpening the methods used to search for alien artifacts inside our own solar system, drawing on recent ...
9hon MSN
What Is Operation Metro Surge, The DHS Immigration Enforcement Drive In Minnesota? | Explained
Operation Metro Surge is a large-scale interior immigration enforcement operation launched by the US Department of Homeland ...
To fully harness AI’s potential, KRA should pair its internal modernisation efforts with selective adoption of proven ...
The Institute for the Advancement of Food & Nutrition Science publishes a list of general principles it hopes will inform any ...
What makes financing factory-built homes different from financing traditional site-built houses? MARIANNA, FL, UNITED ...
NINGBO, ZHEJIANG, CHINA, January 16, 2026 /EINPresswire.com/ -- With the continuous development of manufacturing, ...
Scientists found 6 subgroups of prediabetes based on liver fat and metabolic risk to predict future type 2 diabetes and kidney disease risk.
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
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