The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

It also plays a key role in understanding how intelligent AI is, preventing the misallocation of resources, and guiding ...

The nature of current technological priorities requires engineers to operate across interconnected systems rather than within ...

Haryana's "Kaksha Tatparta Karyakram" program focuses on revisiting previous syllabi for 45 days to support struggling students before new lessons begin.

Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and sharpening fronts (right) using a physics-informed neural network that ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...

The global rise in the prevalence of obesity highlights the need for accessible and effective solutions for obesity ...

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.