As NASA's Artemis Program prepares to return humans to the surface of the moon, Michigan Technological University students ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...

Built on an integrated end-to-end architecture of Construct-Align-Reason (CAR), LOM enables AI, for the first time, to autonomously construct structured business logic system from raw enterprise data ...

Data-driven commerce, social buying and dynamic pricing are redefining how CPG brands win in the Gulf’s mobile-first markets.

The most advanced neobanks are now implementing architectures that aggregate real-time activity to generate weekly ...

Google has launched TorchTPU, an engineering stack enabling PyTorch workloads to run natively on TPU infrastructure for ...

Utilizing environmental product declarations (EPDs) and lifecycle data supports green building standards and long-term ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

Read more about Smart wearable tech with AI brings real-time performance insights to strength training on Devdiscourse ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...