Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Tech Xplore on MSN
Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...
AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...
Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
But this breakthrough doesn't stand alone; recent developments in plastic science and recycling include pyrolysis research to ...
GlobalData on MSN
FDA clears Spectrum Dynamics’ Veritas.AI platform
Veritas.AI is designed to advance the functionality of Spectrum Dynamics’ VERITON-CT scanner for nuclear imaging.
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