A Google DeepMind invention that uses artificial intelligence (AI) to predict how DNA mutations behave could have a “transformative impact” on medicines discovery, according to its developers.

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

Consulting firms are often tapped to support these transformations, for their teams can bring deep experience and creativity to help ensure tech stacks are aligned with the business’s operational ...

I spent three weeks testing no-code AI app builders after watching demos that promised perfect apps from single sentences.

LogicGate, the leading AI-powered GRC platform for the Enterprise, announced a significant expansion of its suite of Spark AI features with Spark AI Reporting Insights and Spark AI Automated Evidence ...

This is the world’s first AI-powered super agent from Cadence that autonomously creates and verifies designs from ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, ...

The software development industry is currently undergoing a significant paradigm shift, driven in part by the emergence of ...