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 HaPPY-Mine, a novel hash-rate-pegged mining reward function designed to counteract centralization in proof-of-work cryptocurrencies.

Analysis of the intrinsic link between cryptocurrency price, mining rewards, costs, and Proof-of-Work blockchain security, with empirical evidence from 2014-2021 data.

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.

Analysis of a novel dynamic decision method for blockchain selfish mining using sensitivity-based optimization theory and Markov decision processes to find optimal blockchain-pegged policies.