In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
The recently published 2025 Machine Learning Emotional Footprint Report from global IT research and advisory firm Info-Tech Research Group highlights the ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...
Philstar.com on MSN
Study shows reliable model to predict licensure exam outcome
A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...
12don MSN
A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction
Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
Sujit Murumkar is a visionary leader who designed and implemented enterprise scale modern data ecosystems for one of the ...
A blood-based liquid biopsy test detects early-onset colorectal cancer with strong diagnostic performance and high ...
Study Finds on MSN
Mold Hiding In Your Walls? Scientists Develop Electronic ‘Nose’ That Can Detect It In Minutes
Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...
Gateway firewalls must adapt to AI threats, integrating machine learning for real-time threat detection and response.
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