Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

Software-defined radio is transforming test and measurement by replacing rigid hardware with adaptable software, enabling ...

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

The wider aim is nothing short of “transforming the entire system development process”, according to Hideto Okada, Head of AI Strategy and Business Development Unit, Fujitsu Limited, with a particular ...

AI-generated test cases have significantly accelerated software testing workflows, but refining outputs often requires manual edits or restarting the generation process. TestMu AI’s latest release ...

Nitya Bathula is driving a new approach to software creation at D3E Studio, where applications are built through AI, visual ...

Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

Design engineers can use AI-driven simulation to overcome bottlenecks and accelerate materials discovery with hybrid workflow approaches.

The second edition of the research firm’s InferenceMAX benchmark, now known as InferenceX, saw Nvidia’s GB300 NVL72 system as the king of the hill, boasting performance levels of up to 100x over a ...

We now live in an SDV world. Here, consumers and market competition increasingly demand continuous innovation, performance ...

Synopsys ramps up work around physical AI to help build adaptive machines capable of sensing and interacting with physical environments ...