This course takes a classic, academic approach, offering a deep dive into AI algorithms, logic, probabilistic models, and ...

Whether your chip is running a vintage computer game or the latest DeepSeek model, it’ll reward you for speaking its native ...

Abstract: Hypergraph Neural Networks (HGNNs) are increasingly utilized to analyze complex inter-entity relationships. Traditional HGNN systems, based on a hyperedge-centric dataflow model, ...

The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...

IBM expands agentic AI and infrastructure automation to bridge software, cloud and mainframe systems - SiliconANGLE ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...

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 ...

Learn how free IIT courses on SWAYAM are breaking barriers, offering quality education, and helping students and professionals upskill with ease. UPSKILLING ...