In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

One of the most enduring goals in regenerative medicine is deceptively simple: replace a person's damaged or dying cells with ...

Many small businesses use AI, but have you ever wondered how they work and where AI models get their data from?

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

Learn how sportsbooks set odds. We break down odds compilation engines, from raw data ingestion and probability models to ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

As the pace of product development for AI-powered toys accelerates, controversy — and warnings — about the appropriateness of ...

Transform your PPC budgeting approach with rebalancing based on buyer intent signals for effective media spending.