Google antitrust case shows that the AI Overviews ranking process does not use links as part of the ranking process. A sharp-eyed search marketer discovered the reason why Google’s AI Overviews showed ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for beginners in machine learning! #Adagrad #MachineLearning #PythonCoding FBI ...

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...

Can a blockchain scale without breaking the promise of decentralization? Waterfall Network argues yes by leaving the linear blockchain model behind. In July 2024, Waterfall Network launched its ...

The outbreak of direct hostilities between Israel and Iran in June represents one of the most significant geopolitical escalations in the Middle East in recent history. What began as a calculated ...

Godot navmesh pathfinding has a single pathfinding algorithm option which is AStar. The heuristic driven AStar algorithm makes it very fast, but the heuristic can also be misleading. This causes low ...

Abstract: We investigate the problem of learning the trustworthiness of agents in a directed graph, where agents receive stochastic trust information about their in-neighbors. We consider a setting ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box! Florida State Bracing for Hefty ...