A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is ...

Teachers can explore with students what not to do—like confusing operations in math or using boring word choices in ...

The construction and expansion of steam cracking plants and feedstock diversification have resulted in a significant demand for the numerical simulation and optimization of models to achieve molecular ...

Traffic engineering (TE) in the wide-area networks (WAN) is crucial for optimizing network performance by distributing traffic across various paths. Traditional methods use optimization like linear ...

Machine learning models fail to detect key health deteriorations, research shows. Mar 11, 2025. AI to predict critical care for patients with COVID-19. Aug 21, 2023.

Deep probabilistic learning networks have been applied in industrial soft sensors. However, they face significant challenges in latent variable inference, deep learning backend implementation, and ...

The safety of inorganic nanoparticles (NPs) remains a critical challenge for their clinical translation. To address this, we developed a machine learning (ML) framework that predicts NP toxicity both ...