Physicists at Harvard University have developed a simplified, physics-inspired mathematical model to better understand how neural networks learn, potentially explaining why large AI systems often ...

Turns out, the AI model is correct. This type of scenario could become a reality in the-not-too-distant future, according to ...

This video explains that AI is a human-made technology that learns from large amounts of information to make predictions, ...

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

Businesses will need to tailor AI models for areas such as law and medicine. But the impacts of “fine-tuning” AI safety are ...

UCT researchers have built MzansiLM, an AI language model covering 11 of South Africa’s official languages, addressing a ...

Physicists at Harvard University have created a simplified, physics-inspired mathematical model to better understand how neural networks learn without overfitting. The model, based on ridge regression ...

AI could "give the scientific community a way to address the most difficult and urgent questions in human health," argues ...

The conversation around explainable AI has never been more urgent, but you cannot have explainable AI without explainable ...