Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
Abstract: Software testing ensures systems meet requirements and identifies defects while minimizing manual effort, reducing costs, and enhancing automation. Model-Based Testing (MBT) leverages ...
Abstract: This study evaluates an agent-based reinforcement learning framework for model-based testing (MBT). The framework’s performance was assessed on three key metrics: effectiveness and ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
The Tesla Model Y no longer looks like the love child of a Model X and Model 3, something I always thought looked awkward and, well, a bit dull. Many also considered them as ‘white goods’ when they ...
An evaluation suite for agentic models in real MCP tool environments (Notion / GitHub / Filesystem / Postgres / Playwright). MCPMark provides a reproducible, extensible benchmark for researchers and ...
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