A team of scientists has developed an advanced computer algorithm that can predict the toxicity of new chemicals better than standard animal tests. This breakthrough has the potential to spare ...

You will be expected to process test data to generate steady-state and dynamical models, identify model parameters, and implement various model-based algorithms in different test platforms to ...

But even the most successful algorithms have limitations. Researchers have now proven mathematically that apart from simple problems it is not possible to create algorithms for AI that will always ...

We generate 2,639 test problems, which involve 99 items and are substantially larger than most of the previously used benchmark problems. Because there are no real-life test problems for combinatorial ...

Meta plans to test out X's algorithm for Community Notes to crowdsource fact-checks that will appear across Facebook, Instagram, and Threads. In a blog, Meta said the testing in the US would begin ...

FANDANGO, a new open-source fuzzing tool, uses an evolutionary algorithm to automatically generate myriads of high-quality test inputs that satisfy defined constraints. Advancing language-based ...

In recent years, evolutionary algorithms have emerged as a robust framework for automating test data generation and optimising test coverage, particularly for complex scenarios such as path testing.