Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...
Technology demonstrated at ABB's booth in NewTech Automation & Robotics eventCAESAREA, Israel, Feb. 12, 2026 / ...
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 ...
FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...
9don MSN
Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...
Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.
This new article publication from Acta Pharmaceutica Sinica B, discusses the deep learning-based discovery of tetrahydrocarbazoles as broad-spectrum antitumor agents and click-activated strategy for ...
The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...
Cosmetic Results and Side Effects of Accelerated Partial-Breast Irradiation Versus Whole-Breast Irradiation for Low-Risk Invasive Carcinoma of the Breast: The Randomized Phase III IRMA Trial We ...
This study established a cascade model by integrating deep learning-driven classifiers and GDL models, identified tetrahydrocarbazole derivatives with subnanomolar activity against pan-cancer cells ...
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