The battlefield is no longer just a physical space of troops and artillery; it is a vast, invisible network of data, sensors, and machine learning models. In the current Iran-Israel conflict, AI is ...

Pacific, and her fellow researchers explore the influence of Big Data Analytics (BDA) in shaping strategic decision-making.

Efficient Large Displacement/Large Rotation Dynamic Simulations Using Nonlinear Dynamic Substructures Utilizing reduced-order ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

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Researchers at the Lawrence Berkeley National Laboratory have developed a design and training framework ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

Abstract: In the frequent occurrence of complex nonlinear problems, the traditional single algorithm gradually exposes the limitations of insufficient ability in finding an efficient solution. When ...

Graduate Program in Biotechnology, Federal University of Pará, Belém 66075-110, Brazil Graduate Program in Process Engineering, Federal University of Pará, Belém 66075-110, Brazil Faculty of Chemical ...