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

Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

A California-based company is set to deliver more than 600 machine-learning infused strike drones ...

Strategic AI-driven QE can be the key to accelerating delivery, strengthening reliability and maintaining market velocity.

Key opportunities in the Global App Test Automation Market include leveraging AI and machine learning to enhance testing efficiency, advancing cloud-based real device testing solutions, and ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

In the next few years, software testing — a critical but traditionally manual phase of development — is poised for a ...

From computers to smartphones, from smart appliances to the internet itself, the technology we use every day only exists ...

New name better aligns with company's mission to help power the future of human performance The rebrand and new funding ...

Tesla has pushed a bold and risky strategy to do it with less hardware. Has this been an effort to force the team to make the harder path work?

MathWorks expert Seth DeLand explains how AI automation frees engineers to focus on higher-level creative problem-solving.