Abstract: Conventional model predictive current control of permanent magnet synchronous machines (PMSMs) relies heavily on a precise mathematical model, which may be challenging to obtain in certain ...

Traditional AI models learn from structured data and are optimized for outcomes like classification, forecasting or ...

It’s a looming challenge for homeland security as we race to integrate artificial intelligence into command, control, and ...

As per a report, the United States gaming market is estimated at USD 63.36 billion in 2025, and is expected to reach USD ...

But in exhaustive testing of 12 leading AI models, Michael Taylor found a counterintuitive truth: When it comes to mimicking ...

Discover how Kyndryl's Business Service Transaction Observability helps banks transition from reactive to predictive monitoring, ensuring operational resilience and enhanced customer experiences in ...

Reply to: Recalibrating Digital Predictions: Uncovering the Limits of the MMAI Prostate LT-ADT Predictive Model in the Era of Tumor Evolution The following represents disclosure information provided ...

Background: This study aimed to develop and validate the first nomogram model for predicting postoperative complications in thoracic spinal stenosis (TSS) patients undergoing unilateral biportal ...

Practical fusion power that can provide cheap, clean energy could be a step closer thanks to artificial intelligence. Scientists at Lawrence Livermore National Laboratory have developed a deep ...