A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

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

Teradata reports that to scale AI successfully, organizations need trusted data, scalable infrastructure, clear ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

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.

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

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 ...

The Vector Institute today launched UnBias-Plus , a free, open-source AI tool built by Vector's AI Safety research scientists that helps detect, explain, and rewrite biased language in written content ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

Discover why animal models fall short in AI drug discovery and how human-first datasets and functional genomics are changing ...

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 ...