Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...

Microcredentials operate differently from traditional education, and they call for a more flexible, adaptable system to ...

Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...

The intersection of AI and algorithmic crypto signals is the turning point in digital finance. As markets grow, volume and ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

The discussion turned to vital role of the human element despite AI’s increasing integration into recruitment. Recruiting leaders use AI to reduce administrative tasks, thereby giving them free time ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Before a car rolls off the production line, manufacturers run virtual tests on it. Simulating tires is particularly ...

The technology works like a translator, not a mind reader – It converts brain scan patterns into coherent sentences by ...