Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...
LOS ANGELES, CA / ACCESS Newswire / June 11, 2026 / For most consumers, the journey of a package across international borders feels invisible. A box leaves a warehouse, crosses an ocean, and arrives ...
The Indian Institute of Technology Roorkee has opened admissions for the 11th batch of its Post Graduate Certificate in Data ...
Researchers used more than 28,000 meteor events recorded by the Lowell Observatory Cameras for All-Sky Meteor Surveillance ...
A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...
Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...
The European Commission recently published its long-awaited draft guidelines on the classification of “high-risk” artificial intelligence (AI) ...
Idiopathic pulmonary fibrosis remains a hard-to-treat lung disease with limited effective drugs. A recent study in Engineering used machine learning ...
Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...
AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields.
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