Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

The dominant narrative about AI reliability is simple: models hallucinate. Therefore, for companies to get the most utility ...

AI agents make decisions you can’t explain. AgentXRay reveals how black-box AI workflows can be reconstructed—and why trust is at risk.

Abstract: Active learning Kriging is widely used in structural reliability analysis for its computational efficiency and accuracy. While numerous learning functions exist to accelerate Kriging ...