As AI embeds itself into every corner of business, most executives continue to underestimate the distinct security risks ...
Nkembuh, N. (2026) Symbiotic Communication Systems: Examining the Co-Evolution of Human-AI Communication Patterns in the ...
A shortage of qualified AI engineers and other talent as well as escalating corporate reliance on AI strategy are pushing AI ...
Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...
Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
The companies that survive will look less like pyramids and more like swarms: small, autonomous AI-first pods that move and ...
Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...
Background: Coronary Artery Disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early detection is essential for the primary prevention of CAD. QRISK3 is known ...
According to Lehigh University, an NSF-funded project led by researcher Parisa Khodabakhshi aims to streamline machine learning models that incorporate physical laws, facilitating alloy design for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback