Adding AI to teams often backfires, combining AI's limitations with human biases. Solution: Build one shared decision space, ...

While humans and classical computers must perform tensor operations step by step, light can do them all at once.

Abstract: Signal processing methods are widely used in fault diagnosis and are known for their strong interpretability. Among them, signal adaptive decomposition algorithms are used to extract the ...

Across the world, workers are increasingly anxious that artificial intelligence (AI) will make their jobs obsolete. But the ...

Artificial intelligence (AI) writing tools are often framed as authoritative tutors, prioritizing grammatical accuracy. For ...

Artificial Intelligence (AI) is like a tsunami on the horizon. It doesn't look like much. But it's 100 feet tall and coming ...

Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping ...

Dietitians are not just end-users of AI tools. They can be cocreators, leaders, and subject matter experts on AI projects. In ...

The ghost workers behind the AI revolutionHow Africa’s invisible digital labour is fuelling the AI revolution and why it’s time to confront the human cost. By Rennie Naidoo, Professor in Information ...

The rapid advancement of artificial intelligence has been hindered by centralized control, leading to biases, monopolized innovation, and concerns over data privacy and governance. This paper ...

In recent years, there has been growing interest in developing and applying Artificial Intelligence (AI) and Machine Learning (ML) to nuclear technologies. AI/ML has the potential to enable advanced ...

Background: Traditional calcium-based risk assessment tools may underestimate coronary artery disease (CAD) burden, particularly in females, due to their inability to capture non-calcified, high-risk ...