A major new systematic review finds that explainability has become the weakest link in the generative AI ecosystem, with ...

Understanding and predicting health outcomes is crucial in the field of medicine, especially for chronic and progressive conditions such as Parkinson’s disease. As technology advances, the integration ...

Explainable AI provides human users with tools to understand the output of machine learning algorithms. One of these tools, feature attributions, enables users to know the contribution of each feature ...

Scientists have created an AI model that forecasts moderate heat stress — a major precursor to coral bleaching — at sites ...

Fujitsu Limited (THERS) today announced the successful development of a new technology to predict solar radiation events [1] ...

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 ...

Artificial intelligence (AI) is a powerful accelerator that many industries recognize for its ability to predict, analyze, and detect anomalies.

Immune Checkpoint Blockade (ICB) has reshaped cancer care and can deliver durable remission in malignancies such as melanoma and non-small cell lung cancer.

When AI falters, it’s easy to blame the model. People assume the algorithm got it wrong or that the technology can’t be trusted. But here’s what I've learned after years of building AI systems at ...