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 ...

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 ...

Overactive immune response disrupts brain function before neuronal damage occurs. Tracking urea levels and nerve cell markers ...

Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to ...

What is the new definition for the Aravalli Hills and Range? Not one, but two definitions are in play here. One, for the ...

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

Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to neurodegenerative disorders such as ...

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function as black boxes, producing alerts or classifications without clear ...

In the end, hope did not triumph over expectation at COP30. The actions of petrostates and the fossil fuel industry at the UN climate change conference scored over the interests of vulnerable ...

Deep beneath the hillsides and suburbs of Brazil, there are tunnels so vast and regular that they look like abandoned subway ...

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