Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

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, ...

Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users. Machine learning, and especially deep learning, have turned out ...

Two recent developments in artificial intelligence (AI) and machine learning have the potential to accelerate product development by streamlining materials research. Israel-based MaterialsZone, a ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...

In recent years, the rapid advancement of machine learning (ML) has led to their early integration into safety-critical systems. As noted in Chapter 2, these technologies offer significant potential ...