Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Advertisers aim to tailor ads to individual viewers to drive clicks, and while bespoke creatives for each person are currently impractical, new research suggests AI-generated imagery could soon be ...

A new study reveals how advanced carbon based nanofluids could significantly improve heat transfer in technologies ranging from microelectronics to ...

From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...

Introduction Ensuring free access to essential medicines is a cornerstone of universal health coverage, yet many countries ...

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

Background Modelling studies find the smokefree generation (SFG) policy could help achieve the tobacco endgame. The UK is on ...

moveBuddha reports South Carolina leads in migration searches for 2025, with Myrtle Beach attracting the most interest; ...

The Dark Energy Survey collaboration has released combined results of weak lensing and galaxy clustering probes captured over six years. The research consists of new analysis on the expansion of the ...

Background A more nuanced understanding of behavioural responses to incentives over time, particularly after they are removed, could guide more effective interventions. In this study, we build on the ...