Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Amazon has invested more than $6 billion in Florida since 2018, creating 8,500+ jobs and supporting local businesses and ...

CarbonSix Inc., a developer of deploy-ready robotic artificial intelligence solutions, announced Wednesday it raised $40 ...

An advanced AI platform should help R&D labs streamline workflows while supporting long-term innovation and competitive ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

A new big-data analysis of the U.S. pinpoints how urban design aids the health of city residents—especially when cities provide walking opportunities, greenery and mixed-use streets with a blend of ...

In 2026, prediction systems are evolving less because of changes in user behavior and more because of improvements in the technology underneath them. Better data pipelines, faster computing, and more ...

A new modular and fanless PC that sits in the “Goldilocks Zone” reimagines the industrial gateway to meet the challenges of today’s IIoT system deployment.

Retailers are implementing AI through software companies like Happy Returns and Narvar to detect return fraud and issue ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.