The panel discusses the importance of explainable AI, repeatability, and seamless integration into existing systems to foster ...

Shekar Vollem, a Senior Software Engineer, researcher, inventor, peer reviewer, and technology leader whose work spans ...

Machine learning and artificial intelligence are helping automate an ever-increasing array of tasks, with ever-increasing accuracy. They are supported by the growing volume of data used to feed them, ...

Seekr, the leader in explainable, defensible AI, and SNC, a global aerospace and national security company known for its elite mission systems integration, today announced a strategic partnership to ...

Explainable AI is the idea that an AI algorithm should be able to explain how it reached a conclusion in a way that humans can decipher. There’s a well-known “black box problem” where an AI algorithm ...

Artificial intelligence increasingly helps providers make their grids more robust, improve forecasts of electricity prices ...

As AI-powered technologies proliferate in the enterprise, the term “explainable AI” (XAI) has entered mainstream vernacular. XAI is a set of tools, techniques, and frameworks intended to help users ...

While machine learning and deep learning models often produce good classifications and predictions, they are almost never perfect. Models almost always have some percentage of false positive and false ...

Fans of the 1987 adventure comedy film The Princess Bride know from swordsman Inigo Montoya that sometimes there is just too much to explain. Yet the algorithms behind artificial intelligence – used ...