Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
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 ...
SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...
Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Tech Xplore on MSN
Why metal microstructures matter: AI pinpoints stress hotspots to guide safer designs
Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...
A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.
Ivan Stefanov, CEO and Co-Founder of NOTO, shares how AI, machine learning and unified platforms are reshaping financial crime prevention for institutions ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results