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

In recent times, medical professionals are constantly acquiring enhanced diagnostic and treatment abilities by implementing deep learning models to analyze ... we utilized Explainable Artificial ...

The proposed meta-xai is able to answer to these questions in terms of these human-interpretable image features, permitting to bridge the gap between technical model explanations and human ...

The Skin Cancer MNIST: HAM10000 dataset is a large collection of skin lesion images designed for dermatological research and machine learning applications. It contains 10,015 dermatoscopic images of ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

The way we seek and process information has experienced a significant transformation over the past few years. Advances in artificial intelligence are fundamentally redefining knowledge discovery. The ...

Elon Musk's xAI, meanwhile, used 20,000 GPUs to train its Grok 2 model, while for Grok 3, it used 100,000 GPUs for phase 1 of its training, then boosted it to 200,000 for phase 2. If effective ...

OpenAI's Deep Research AI is evolving research with advanced tools for data analysis, workflow automation, and credible data ...