In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...

Abstract: “Active flux” is an alternative unitary concept for the control of practically all ac drives. As aligned to rotor d-axis (for synchronous and flux-modulation machines) and to rotor flux axis ...

Israeli entities spanning academia, engineering, local government, manufacturing, technology, transportation, and utilities sectors have emerged as the target of a new set of attacks undertaken by ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep learning enthusiasts wanting a hands-on understanding of this classic ...

This one looks more like a bug in Numpy's behavior, that in PyTorch's. But after thinking deeply, it is just an edge case of advanced indexing. The following shows seemingly erratic Numpy's behavior.