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

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.

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

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 ...

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 ...

A Hebrew University study suggests AI tools could help growers better manage water use by predicting healthy plant behavior and flagging early signs of stress.

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