Joel Hans

The Hyperledger Project, a proponent of blockchain, is branching out.

Industry-led contests have long been a reliable way to gather interest in a topic, but can they improve an ML algorithm?

Small victories early on can help analytics leaders gain traction to make even more change.

The main challenge is informing normal consumers about the value of AI technology in their everyday lives.

An open-source GPU initiative could drastically speed analytics, including analyses using deep learning.

TEPCO and Landis+Gyr are proving that large-scale and fast-moving smart grid deployments are possible.

Researchers are using AI and other deep learning methods to create an algorithm that’s capable of detecting DR with an accuracy rate of 94 percent

Blockchain technology is still in “wait-and-see” mode where early adopters may have the edge.

BuzzFeed, Blue Apron and Cigna create data structures and tools that “just work,” then let business users take the next steps.

When it comes to the IoT, containerized software has the capacity to provide easier development and better security.

Aptilo Networks says it’s possible to offload up to 30 percent of cellular data traffic to Wi-Fi.

A collaboration between Royal Philips and PathAI shows high promise in improving breast cancer diagnoses with deep learning technology.