Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

A new statistical analysis of Nigeria’s 2023 elections says Labour Party (LP) strongholds recorded the highest concentration of irregularities in the polls.

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...

The case highlights how investigations can play out not just in interviews and warrants but in online chats and livestreams — for better or worse.

Writers, activists, and scholars reflect on the most urgent books of 2025—from Palestine and caste to climate, queerness, and resistance. Read their picks.

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Artificial intelligence is colliding with a hard physical limit: the energy and heat of today’s silicon-based chips. As ...

Accurate classification of wetland vegetation is essential for biodiversity conservation and carbon cycle monitoring. This study developed an adaptive ...

The Fox River serves as the town’s liquid centerpiece, flowing through the heart of the community and providing both scenic ...