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 ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...

The explainable AI market presents opportunities in enhancing transparency and decision-making across sectors like healthcare ...

According to the paper, artificial intelligence addresses a core weakness in Parkinson’s care: reliance on subjective ...

Exploring How Generative AI, Edge AI, and Quantum Machine Learning Are Revolutionizing Healthcare, Finance, Logistics, and ...

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

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

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

The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...