Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

Abstract: This paper studies the fuzzy-based synchronization control problem of coupled neural networks under cyber attacks, where the considered attacks can block the communication links between ...

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...

Koch, J. (2025) Entangled Cyclical Encryption Architecture: The Paradigm Cipher for a Fractured World . Journal of ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Abstract: Identifying positive influence dominating set (PIDS) with the smallest cardinality can produce positive effect with the minimal cost on a social network. The purpose of this article is to ...

In tactical communication networks, highly dynamic topologies and frequent data exchanges create complex spatiotemporal dependencies among link states. However, most existing intelligent routing ...

AI-powered biosensors can analyze intricate datasets from sensors in real time. Machine learning and deep learning algorithms ...

In trading, discussions often center on strategies, indicators, or market predictions. Yet behind the numbers lies a quieter factor that often determines whether a system can endure: position sizing.

Children often surprise us with their natural problem-solving skills. A new study shows that they can discover efficient algorithms on their own. Researchers Huiwen Alex Yang, Bill D. Thompson, and ...