Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

Evolving toxicity assessments for engineered nanoparticles underline the importance of predictive models and life-cycle risk ...

Most people approach problems with a single lens, viewing market fluctuation through a strictly economic filter or a ...

Meditation may calm the mind, but a recent study suggests it can also reshape brain activity by profoundly altering brain ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

Engineering and finance alike are rethinking how manufacturing defines value. Panelists in this webinar brief attendees at ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

I built an iOS app in just two days thanks to AI - and it was exhilarating ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...