Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...

In past roles, I’ve spent countless hours trying to understand why state-of-the-art models produced subpar outputs. The underlying issue here is that machine learning models don’t “think” like humans ...

This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...

Cognitive computing represents an innovative frontier within computer science, merging artificial intelligence, machine learning, and computational ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights – including a model-estimated probability score ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...