• Collaboration is deepened. Regular cross-functional dialogue creates a feedback loop that continuously refines both AI ...

As the "black-box" problem creates challenges for AI, explainable AI can help reshape business-to-business operations by ...

The rapid growth of artificial intelligence (AI) has brought many benefits, from higher productivity to improved health ...

Advanced data sets, hyper-personalisation and remapped infrastructures will be what it takes for the industry to scale and ...

From traditional monitoring to proactive intelligence, AI-powered video analytics is revolutionizing security operations, ...

While the immediate post- ChatGPT era was all about chasing OpenAI, the current situation for AI firms is more conventionally ...

The ATO's use of AI has allowed it to analyse more work-related expense claims over several years, but questions have been ...

Artificial Intelligence (AI) increases decision making capability by 54 per cent and with time AI adoption within Indian ...

The AI-based application enables a precise and comprehensible evaluation of skin lesions, supported by the latest methods of explainable artificial intelligence. SkinDoc combines ongoing research ...

Facial expression recognition (FER) has been widely used in healthcare, assistive technologies, and emotion-aware AI systems, ...

In a new paper published in Nature Geoscience, experts from Fraunhofer Heinrich-Hertz-Institut (HHI) advocate for the use of explainable artificial intelligence (XAI) methods in geoscience.

CrowdStrike launched Charlotte AI Detection Triage, a platform based on agentic AI, which automates detection triage — the aim is to reduce workloads for security operations centers (SOCs).