Interview: As software grows more distributed and AI accelerates code creation, Umasankar Mukkara explains why resilience testing is becoming central to modern software quality.

The discovery of lead-containing paint inside the atrium of the former Thompson Center – now being transformed into Google’s ...

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Traditional software testing can't catch AI's unpredictable failures. Here's why humans are non-negotiable.

The “Loop” feature in Cloud Code automates short-term, recurring tasks for up to three days, combining cron job precision with natural language commands for ease of use. It supports custom intervals, ...

According to the latest market research study published by MarkNtel Advisors, the Global ADAS Simulation Market is expected to grow at a CAGR of around 15.92% during 2026–2032. The market growth is ...

An autonomous platform uses machine learning and patterned light to detect and terminate cardiac arrhythmias in real time without electrical shocks.

When evaluated and implemented thoughtfully, agentic AI can augment human expertise, accelerate workflows and deliver measurable improvements.

Modern production lines require seamless automation integration, traceable data, uncompromised measurement integrity, and ...

Marketers may see AI integration as a panacea for challenges, but the first step is differentiating between single-point AI automation and agentic AI.

We often talk about diagnostics as the gateway to precision medicine. But what happens before and after the test? In a healthcare system made up of multiple initiatives and institutions, working in ...

Sport Dynamics Lab uses Flexdynamic testing, digital models and AI to compare designs, materials and systems, enabling ...