Human language may seem messy and inefficient compared to the ultra-compact strings of ones and zeros used by computers—but our brains actually prefer it that way. New research reveals that while ...
To capture higher-definition and sharper images of cosmological objects, astronomers sometimes combine the data collected by ...
Researchers unveil octopus-inspired smart skin that hides images, changes shape, and encodes data via 4D printing.
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
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Ifa divinity and the digital age: Why indigenous knowledge must find its place in a world of algorithms
By Ojo AdemolaFirst African Professor of Cybersecurity and Information Technology Management, Global Education Advocate, Chartered Manager, UK Digital Journalist, Strategic Advisor & Prophetic ...
Gray codes, also known as reflected binary codes, offer a clever way to minimize errors when digital signals transition between states. By ensuring that only one bit changes at a time, they simplify ...
Abstract: Benefiting from the principles of information aggregation and multi-layer stacking, graph neural networks (GNNs) have achieved remarkable success in graph-structured data tasks. However, ...
The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Abstract: In this article, a distributed polynomial set-membership fusion estimation approach is proposed for target tracking systems under a binary encoding scheme. Each distance measurement of the ...
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