In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...

HBM4 and strategic customer agreements lock in ~40% revenue, boost margins, and reduce cyclicality amid AI demand—read the ...

Is artificial intelligence about to trigger an economic growth explosion (the “singularity”)? Will most human workers slip into poverty? Or is AI a hyped-up gimmick fueling a financial bubble due to ...

This is a third-party client that is developed and maintained independently of the Federal Reserve Bank. As such, it is not affiliated with or supported by the institution. The documentation contains ...

A threat group researchers call "Armored Likho" has gained access to government agencies and electrical power entities in ...

Two new models from Chinese firms compete with top US mainstream and frontier models. Should cyber-defenders be worried?

Some data suggest artificial intelligence is already causing job losses. Other sources show the opposite. Why is it so hard ...

Free interactive tool uses particle physics-inspired Burkeanomics to predict prosperity impacts from policies in the ...

AI's economic impact is hard to forecast now, but seven specific trends—from entry-level hiring to inflation—signal what ...

Large language models (LLMs) are lowering the entry barriers to working with exciting data sources that used to require strong data science skills, such as handwritten ledgers, text, images, or sound ...

Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...

An insider's look at Florida’s war on invaders: the giant snakes, egg-eating predators and parasites spreading through the ...