Researchers from chemistry, biology, and medicine are increasingly turning to AI models to develop new hypotheses. However, it is often unclear on which basis the algorithms come to their conclusions ...

The rise of artificial intelligence has brought unprecedented opportunities, but it has also raised significant concerns ...

Hariprasad’s work combined with a focus on explainable AI and ethical considerations will shape the next wave of operational ...

In contrast to prior studies that relied on deep learning models with low transparency, or balanced datasets that fail to ...

Interpretable Artificial Intelligence (AI) and Edge computing have the potential to revolutionize the diagnosis and ...

Artificial Intelligence (AI) has transformed financial security by enabling fraud prevention at an unprecedented scale.

Explainable AI (XAI), which is a set of methods and techniques that allows users to understand how and why an AI model reached a particular decision, is often considered an important element of ...

In October 2024, Nvidia CEO Jensen Huang, at the AI Summit India in Mumbai, claimed that the headline “Nvidia is AI in India” was more than just a fortuitous combination: it described a deep ...

Without explainable AI, enterprises risk making decisions based on unreliable or misunderstood information, potentially resulting in costly errors and loss of stakeholder trust, according to Frost.

Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the Multicloud The Future of the Internet ...

1 model from Black Forest Labs. Distillation is a technique used to extract knowledge from a large AI model with a “teacher-student” model. Developers send requests to a teacher model and ...

Ekanem, I. (2025) Analysis of Road Traffic Accident Using AI Techniques. Open Journal of Safety Science and Technology, 15, ...