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

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

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 study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

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

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 ...

Artificial intelligence has become both the weapon and the shield in today’s cyber battlefield. From self-learning malware to adaptive firewalls, AI is reshaping the balance of power between attackers ...

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

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

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 ...

An interdisciplinary study released recently has revealed how artificial intelligence and data science can help preserve endangered indigenous cultural ...

New research demonstrates that ML can also predict metre-scale laboratory earthquakes, suggesting that, when scaled, similar approaches could offer early warning times from weeks to decades for large ...