Researchers from chemistry, biology, and medicine are increasingly turning to AI models to develop new hypotheses. However, ...

In an era dominated by vast data sources, cognitive search platforms play a pivotal role in extracting meaningful insights ...

Explainable AI (XAI) is about the clarity of the reasoning ... “A lot of AI is generating outcomes, but there’s a bit of a black box methodology in terms of how the outcomes are being created.

The study advanced beyond a one-size-fits-all model by developing both a global XGBoost classifier and cancer-type-specific ...

Explainable Artificial Intelligence (XAI) simplifies machine learning by increasing the clarity of complicated models.

The Allen Institute for AI (Ai2) released a new tool that links AI-generated text to training data, aiming to improve ...

The Titanic sunk 113 years ago on April 14-15, after hitting an iceberg, with human error likely causing the ship to stray into those dangerous waters. Today, autonomous systems built on artificial ...

As organizations worldwide grapple with the urgent need for transparent, interpretable artificial intelligence systems, ...

Leaders must proactively invest in building agentic AI ecosystems that prioritize user trust and ethical considerations.