Hashpowercurrency

Research paper proposing an AI-driven consensus algorithm using convolutional neural networks and dynamic thresholds to select super nodes in blockchain networks, improving security and transaction speed.

A philosophical examination of analog computation, challenging the continuity-based view and proposing a representation-based account with implications for cognitive science and neuroscience.

Comprehensive survey exploring analog computation models, covering continuous-time systems, dynamical systems, and their relationships to classical computation theory.

Foundations of a new computational theory designed for programmable integrated photonics, overcoming limitations of digital electronics and enabling efficient analog multi-data processing.

Research applying multi-dimensional reinforcement learning to derive optimal Bitcoin mining strategies without requiring full network model knowledge, achieving performance comparable to theoretical optimum.

Analysis of Ethereum's transition to PoS and its impact on GPU mining, hashrate redistribution, profitability, and energy consumption in remaining PoW networks.

Technical analysis of NeuCoin's proof-of-stake cryptocurrency design addressing security, decentralization and cost-efficiency challenges in blockchain systems.

Analysis of reconfigurable analog computing systems, their advantages over digital computers for specific problems, and modern implementation approaches.