IEEE

Black-Box Testing of Deep Neural Networks

Abstract: Several test adequacy criteria have been developed for quantifying the the coverage of deep neural networks (DNNs) achieved by a test suite. Being dependent on the structure of the DNN, ...
IEEE

Black-Box Testing of Deep Neural Networks through Test Case Diversity

Abstract: Deep Neural Networks (DNNs) have been extensively used in many areas including image processing, medical diagnostics and autonomous driving. However, DNNs can exhibit erroneous behaviours ...

'The Pitt' takes a deep breath and nails its second act

Rather than compete with the high drama of the first season, the Emmy-winning medical series starring Noah Wyle refocuses on everyday crises.
GitHub

Sparsity-aware deep learning inference runtime for CPUs

We’re reaching out with heartfelt thanks and important news. Following Neural Magic’s acquisition by Red Hat in January 2025, we’ve shifted our focus to commercial and open-source offerings built ...