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

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

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

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 ...

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

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

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...

Researchers identified distinct demographic, clinical, and serologic predictors of incident LVSD and cardiac recovery among patients with SSc.

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

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

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