Abstract: Discrete time-variant equation systems represent a typical and complex problem across various disciplines. With the increasing complexity of systems in various fields, traditional methods ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...

The curious minds at ColdFusion explore how neural networks are shaping today’s AI applications. Tom Homan’s bid for Minnesota reset begins with series of demands Trump triggers flight from US dollar ...

ABSTRACT: Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of ...

There is no doubt about what took centre stage in the theatre of business applications in 2025: agentic artificial intelligence (AI). The technology, which sees AI systems working autonomously, with ...

Abstract: Recently, recurrent neural network (RNN) models have been extensively investigated for addressing time-dependent nonlinear optimization problems. However, few existing RNN models take ...

ABSTRACT: In energy critical systems, accurate modeling of fluid dynamics is essential for designing controllers that enhance operational performance and reduce energy consumption. This study presents ...

Students continue to pursue postsecondary education—particularly Latino and Black students—and a growing share of those applicants are choosing to submit SAT and ACT scores even when institutions are ...

Forbes contributors publish independent expert analyses and insights. Caroline Castrillon covers career, entrepreneurship and women at work. AI is transforming the job application process, with more ...

Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...