In social platforms, artificial intelligence is more than automation—it’s the invisible architecture that defines how ...

As a technology leader, having a strong and dedicated partner to help you achieve your company’s data goals will improve your ...

By understanding your growth levers and required resources, you can avoid the trap of overpromising and underdelivering.

AI demands adaptive data governance: real-time automation of policies, lineage and AI-driven monitoring ensures dynamic ...

Scientists have designed a new MPEA with superior mechanical properties using a data-driven framework that leverages ... supported by funding from the National Science Foundation, were recently ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, ...

The team's dLab system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science. Researchers at the University of Tokyo and their ...

AI-powered framework combines CNNs and knowledge graphs to detect credit risk early in internet finance firms, enhancing prediction accuracy and decision transparency.

Zivanov, assistant professor of electrical and computer engineering, has received a prestigious Faculty Early Career ...

It’s well known that having plentiful, high-quality data is necessary to becoming a data-driven organization ... and shared. This framework can be enforced across the organization through ...

The system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science. The research is published in the journal Digital Discovery. Machine ...