Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

Ethiopian culture has traditionally valued community—the concept of living together. But normalized self-interest transforms society from a community into a collection of competitors. The elderly ...

Discover why Pure Storage (PSTG) may be undervalued and explore growth prospects, market advantages, and upside potential.

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

Very strict emphasis of IMF programme on meeting the fiscal consolidation target – which in the author’s opinion is both in ...

Sharp (TSE:6753) has been grinding lower this year, and that slide is making some investors revisit the stock. With revenue and net income both shrinking, the key question is whether the current price ...

Cancer has long been medicine’s most elusive target, but a wave of new research suggests scientists may finally be closing in ...