Advanced statistical modelling, hypothesis testing, and academic workflows make R preferred for data-heavy research and reproducible ...

Its use results in faster development, cleaner testbenches, and a modern software-oriented approach to validating FPGA and ASIC designs without replacing your existing simulator.

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Abstract: Deep learning powers critical applications such as autonomous driving, healthcare, and finance, where the correctness of underlying libraries is essential. Bugs in widely used deep learning ...

With new updates in the search world stacking up in 2026, content teams are trying a new strategy to rank: LLM pages. They’re building pages that no human will ever see: markdown files, stripped-down ...

Battery failures cost the EV industry $5B+ annually in warranty claims, recalls, and safety incidents. Modern electric vehicles generate millions of telemetry points daily from battery management ...

52-week journey from QA/SDET to GenAI Testing — learning in public with weekly mini-projects, code, and honest documentation of struggles and wins. Zeta: Physics-Inspired AI Test Generator — Gemini ...

Non-animal framework based on new approach methodologies (NAMs) for chemical hazard identification and risk assessment. The framework comprises three modules: (1) high-throughput screening to address ...

Cdymax Pharma has been slapped with a warning letter from the FDA outlining two observations against the Bangalore, India-based API maker, both linked to testing shortfalls. The letter comes in ...

Agentic systems are stochastic, context-dependent, and policy-bounded. Conventional QA—unit tests, static prompts, or scalar “LLM-as-a-judge” scores—fails to expose multi-turn vulnerabilities and ...