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 ...

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

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 ...

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 model, called SHARP, can reconstruct a photorealistic 3D scene from a single image in under a second. Here are some examples.

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

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

Imagine the global launch of an electric vehicle as an epic journey where innovation meets real-world grit. Behind the scenes, a passionate team orchestrates a high-stakes dance of virtual simulations ...

This time last season, George Springer was more or less left for dead in Fantasy. Oh, he'd get drafted in most leagues, but ...