Abstract: The confusion matrix is a key tool for understanding and evaluating models in supervised classification problems. Various matrices are proposed depending on the problem framework: ...

Abstract: With the escalating complexity and investment cost of training deep neural networks, safeguarding them from unauthorized usage and intellectual property theft has become imperative.

PhAST is a Python library built on PyTorch that allows you to solve phase-field fracture problems without assembling large global matrices. It is designed to be differentiable, making it easier to ...

D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...