Researchers trained an XGBoost machine learning model to estimate the residual tensile strength of artificially aged silk ...

Researchers have combined the Tabular Prior-data Fitted Network (TabPFN) with the NSGA-II genetic algorithm to predict and ...

In 2025, the cybersecurity landscape is undergoing a dramatic shift as Machine Learning (ML) algorithms advance from reactive ...

Instruction tuning uses examples of instructions and desired responses to make a pretrained model more useful, controllable, ...

FirstQFM achieves highest accuracy in financial forecasting using Quantum Reservoir Computing (QRC) on Rigetti’s ...

Used car price prediction using Machine Learning regression algorithms and Random Forest. - KunalGupta9321/Used-Car-Price-Prediction ...

IN BRIEF Artificial intelligence (AI) is reshaping the accounting profession and redefining accounting education. As AI automates routine tasks, ...

The fundamental principle of metrology remains unchanged: measurement results must be supported by credible evidence of their ...

Dawesome Myth is a new Synthesizer plugin (macOS/Windows) with a modular-style engine that takes you on an AI-supported ...

Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...

Background Wearable device data are increasingly used to provide physiological and behavioural measures in clinical studies. Aims This scoping review maps out the data collected by wearable devices ...

As editors turn to imperfect AI detection tools to weed out machine-generated submissions, writers who say they were falsely ...