• 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 ...

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

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

In no particular order, here are the top 10 AI companies to watch that are each making significant strides in their ...

The CII-Protiviti report highlighted that for Indian enterprises, increasing operational efficiency, enhancing customer experience, and improving decision-making capabilities are the top three ...

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

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

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.

The integration of GANs with IoT presents numerous advantages for elderly care. The system demonstrated a 30% improvement in ...