Wealth management is moving from experienced-based advice to a data- and AI-powered approach that gives clients quicker ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic ...

Together with members of Tanzania’s Hadzabe community, he participated in training on CyberTracker, an icon-based application that allows users to record animal tracks, signs, and ecological data, ...

Over the past few months, I have been exploring different pedagogical frameworks to guide teachers in making sense of AI ...

Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without ...

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...

The Cleveland Clinic and startup Piramidal are developing an AI model trained on brain wave data to monitor intensive care patients.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

A blueprint to make data flow efficiently and responsibly between stakeholders, using real-world education policy examples.