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This religious channel was built against the algorithm

Reaching one million subscribers looks like success from the outside. But numbers alone don’t tell the real story. This channel grew slowly, deliberately, and without chasing outrage. The goal was ...
Investopedia

Artificial Intelligence (AI): What It Is, How It Works, Types, and Uses

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
IEEE

Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General Environments

Abstract: This research article presents a comparison between two mainstream Deep Reinforcement Learning (DRL) algorithms, Asynchronous Advantage Actor-Critic (A3C) and Proximal Policy Optimization ...
IEEE

Optimizing Federated Learning Performance: A Blockchain-Integrated Solution for Edge Networks

Abstract: This paper proposes a blockchain-integrated federated learning (FL) framework tailored for secure, efficient, and energy-aware model training in edge computing environments. The framework ...
GitHub

MR.Q: Towards General-Purpose Model-Free Reinforcement Learning

PyTorch implementation of the MR.Q algorithm from Towards General-Purpose Model-Free Reinforcement Learning by Scott Fujimoto, Pierluca D'Oro, Amy Zhang, Yuandong Tian, and Michael Rabbat. Benchmark ...
GitHub

A High Shared Memory Utilization Algorithm for Parallel Sparse General Matrix-Matrix Multiplication on GPUs

Sparse general matrix-matrix multiplication (SpGEMM) is fundamental to numerous scientific applications. Traditional hash-based approaches fail to strike a trade-off between reducing hash collisions ...