• 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 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) is transforming industries worldwide, and healthcare is no exception. From streamlining ...

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

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

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.

In this modern era, as artificial intelligence (AI) adoption grows, ensuring security and ethical governance has become ...

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

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).