Abstract: In this paper, we propose a novel decoding method for Quantum Low-Density Parity-Check (QLDPC) codes based on Graph Neural Networks (GNNs). Similar to the Belief Propagation (BP)-based QLDPC ...

A newly released open-source software project is drawing global attention for demonstrating how ordinary WiFi signals can be ...

AI in architecture is moving from experimentation to implementation. An AJ webinar supported by CMap explored how practices are applying these tools to live projects, construction delivery and operati ...

Students can access the CBSE Class 10 Artificial Intelligence question paper and answer key from here. The exam is scheduled ...

Docker is a widely used developer tool that first simplifies the assembly of an application stack (docker build), then allows ...

Basketball fans are already going wild in Roblox with different type of games. But now Sub Studios is stepping in with their own anime-styled take on the sport with Project Basketball. This game ...

Abstract: Spiking neural networks (SNNs) are attractive algorithms that pose numerous potential advantages over traditional neural networks. One primary benefit of SNNs is that they may be run ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

A comprehensive implementation of a Variational Autoencoder (VAE) for unsupervised data generation with uncertainty quantification, featuring comparative analysis against deterministic baselines. This ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...