New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
AZ Animals US on MSN
Tiny AI Devices Are Listening for Poachers in the World’s Most Remote Forests
Modern conservation technology has one simple goal, even though achieving it is anything but simple: to spot a threat or threatened species instantly, right where it happens—even in places with no ...
With no criminal records, they went for a routine check-in. Sent to El Salvador, they're desperate to return to their American lives.
Cities are increasingly becoming the epicenter of climate-related risks, with research showing that impervious surfaces (e.g.
There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...
On February 2, 2026, the U.S. Food and Drug Administration (FDA) published its anticipated compliance program manual, ...
From vegetation scans to 360-degree smoke detectors, new tools are trying to shine a light on the most dangerously dark areas ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
In Jammu, the construction of a 58-kilometer Ring Road has left villages like Kheri and Kangar devastated due to land ...
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