• 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 ...

At its core, Explainable AI encompasses a variety of techniques and methods aimed at helping humans understand and trust the ...

A new study by SRH University emphasizes the benefits of explainable AI systems for the reliable and transparent detection of ...

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).

Artificial Intelligence has fundamentally changed how we approach data analytics, offering unprecedented capabilities in ...

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

The integration of XAI methods not only improves transparency but also fosters trust among farmers and agricultural experts.

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

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.

Adopting predictive AI in investment management can be a transformative move for portfolio strategies, albeit one surrounded by hurdles.