Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

Abstract: Fault location and classification are crucial to the reliable and resilient operation of power distribution networks (PDNs). Current machine learning works cannot provide accurate and ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

When managing associate Tanya Sadoughi found a recurring problem in the banking and finance practice, she put her newfound ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

While it's not ready to join the workforce yet, Atlas, an AI-powered humanoid, is learning how to do human tasks.

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Unscheduled machine downtime remains one of the biggest challenges in manufacturing. Festo's AX Motion Insights Electric and Pneumatic apps address this by combining the company’s hardware expertise ...

We live in the time of AI, and its power seems inescapable. In other words, we can’t overthrow our robot rulers just yet. In the meantime, it might help to understand them a little better. White ...