LONDON, UNITED KINGDOM, February 19, 2026 /EINPresswire.com/ -- Brands are scrambling to understand the new currency of ...

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

Quantum computing is an emerging paradigm that leverages the principles of quantum mechanics to solve computational problems beyond the reach of classical computers. This article provides an overview ...

The third phase of ticket sales for the FIFA World Cup 2026, the Random Selection Draw, is now open for applications. This is the first time fans can apply for single-match tickets based on the ...

Abstract: Real-time multi-agent internet data transmission enhances the service capabilities of diverse applications, however, it poses a risk of sensitive location information being compromised. This ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

Abstract: Accounting data is an important source of information reflecting a company's financial status, operating conditions, and cash flow. This study selected three typical machine learning models: ...