Coinbase and Perplexity AI team up to deliver real-time crypto market data and AI-driven insights—redefining how traders and ...

Using artificial intelligence, researchers show how γ-secretase recognizes substrates – an important advance for fundamental ...

Researchers from DZNE, Ludwig-Maximilians-Universität München (LMU), and Technical University of Munich (TUM) have found that ...

Explainable AI (XAI) is an emerging field in machine learning that aims to address how black box decisions of AI systems are made. This area inspects and tries to understand the steps and models ...

Massive flooding triggered by the Kosi river has caused extensive damage in parts of Bihar over the years, affecting lives ...

Civic engagement platforms (CEPs) are online infrastructures that facilitate democratic dialogue, community decision-making, ...

A Future with Explainable AI. Explainable AI is the future of business decision-making. Explainable decision making plays a role in every aspect of AI solutions from training, QA, deployment, ...

As tech writer Scott Clark noted on CMSWire recently, explainable AI provides necessary insight into the decision-making process to allow users to understand why it is behaving the way it is.

More physicians than ever are turning to AI to improve efficiency — from administrative tasks to diagnosis and treatment — ...

Why explainable AI matters. According to a report released by KPMB and Forrester Research last year, only 21 percent of US executives have a high level of trust in their analytics. “And that’s ...