Chinese researchers have published a new AI-driven system designed to interpret scramjet combustion simulations at speeds that could compress years of computational work into weeks. The tool, called ...

A new study shows that deep learning can accurately predict the impact of environmental regulations before they are implemented, outperforming traditional expert models. Applied to the Clean Water Act ...

The retail giant plans to roll out electronic shelf labels to all US locations next year, enabling constant price updates with AI-powered technology ...

Railway Systems has recently been involved in several demonstrator projects of its zentrak portfolio across Europe.

New AI agent helps enhance lead qualification, supports instant responses, and integrates seamlessly at competitive ...

An algorithm that finds lost civilizations is helping archaeologists use AI to predict where ancient sites may still be hidden.

When combined with clinical markers, smartwatch data was able to help detect insulin resistance with nearly 90 percent ...

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 ...

Abstract: This paper analyzes the performance of different LDA combinations with machine learning algorithms in predicting diabetes based on clinical data. The analysis involves patient records with ...

Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and improve prognosis ...