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Summary: Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are ...
3don MSN
Scientists develop dynamic landslide prediction method using hydrological and machine learning data
Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...
To assess predictive potential, the researchers applied machine learning models—including gradient-boosted decision trees and ...
Having an accurate estimation for Arkansas’ above ground forest biomass has numerous economic and environmental impacts, Dr.
Today at ADLM 2025 (formerly the AACC Annual Scientific Meeting & Clinical Lab Expo), researchers will unveil a blood test ...
News-Medical.Net on MSN2h
AI-powered blood test improves early Lyme disease detection
Today at ADLM 2025 (formerly the AACC Annual Scientific Meeting & Clinical Lab Expo), researchers will unveil a blood test ...
Seattle City Light underwent a shift to data-driven utility vegetation management to manage risks and improve reliability.
Tech Xplore on MSN4d
Improving AI models: Automated tool detects silent errors in deep learning training
TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...
AI-trained data analysis models may offer a more rapid and accurate detection of a range of neurologic conditions, including ...
As Missouri becomes the latest state to ban the sale of Callery pear trees, researchers at MU are using artificial ...
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