Being “ready for AI” is a commitment to continuously refining how your organization collects, manages and mobilizes data.

As a driving force in the advancement of intel-ligent in-orbit applications, DNN models have been gradually integrated into satellites, producing daily latency-constraint and computation-intensive ...

The data nerds are fighting back. After watching data sets be altered or disappear from government websites in unprecedented ...

In a new experiment comparing different types of collaboration, researchers found that pairs of humans working together ...

Nishijinori, the intricate weaving for kimonos that dates back more than a thousand years in Japan's ancient capital of Kyoto ...

On this episode of “Uncanny Valley,” we dive into the heated race between two companies to build a commercial brain-computer ...

The goal of this article is to provide a proactive framework that enables tech leaders and business owners to understand when ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...