Recent advancements in deep learning have transformed the field of palynology by automating the classification of pollen grains. This emerging approach leverages convolutional neural networks (CNNs) ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
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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 technologies often face significant operational limitations. While X-ray scanners ...
AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...
Researchers developed a terahertz imaging platform that uses deep learning to separate chemical signatures from noise. The ...
What: New analyses using early observations from the European Space Agency’s Euclid mission examine how galaxy mergers trigger active galactic nuclei (AGN), luminou ...
Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
An artificial intelligence (AI) expert has warned against a viral trend that uses ChatGPT and AI tools to turn personal photos into humorous caricatures, ...
As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?
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