This fragmentation does not stop when the workday officially ends. In a survey of 2,000 professionals created by the ...

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 ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

Technology demonstrated at ABB's booth in NewTech Automation & Robotics eventCAESAREA, Israel, Feb. 12, 2026 / ...

Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

Introduction: Stroke remains a leading cause of morbidity and mortality globally, with a 23% relative annual increase in incidence worldwide and a staggering 87% rise in the United States alone.

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...