AICMP is the first AI agent that fully manages PoW mining and utilizes a
holistic
strategy to maximize mining efficiency and long term ROI
CA: BAEXK4X6B3hkqmEkPuyyZQ5fZUb5iZ6SaJ7a9UDnpump
Whitepaper
Key Features
Dynamic Task Allocation
AI-driven Task Allocation Engine that uses real-time data to tailor share difficulty to each
miner’s
performance profile
Network and Market Prediction
Predictive Analytics Unit that employs machine learning models including time-series neural
networks
such as RNN, LSTM to forecast upcoming difficulty adjustments and mempool congestion for
transaction
fee optimization
Reinforcement Learning for Optimization
Reinforcement Learning (RL) algorithms to continuously optimize the mining pool’s allocation
policies
Equitable Revenue Distribution
Innovative revenue distribution model to incentivize smaller miners through a weighted
reward
scheme
Technical
Architecture
AI Orchestration Layer
The central hub of AICMP that contains four primary sub-modules: Data Collection Module,
Task
Allocation Engine, Predictive Analytics Unit, Policy Management & Reinforcement Learning
Module
Miner Interface Layer
AI-driven dashboards to visualize miners real time performance, operational parameters
configuration
and critical issues, all powered by AICMP and Eagle Eye AI agent
Revenue Distribution Module
Fully automatic mining revenue distribution process with immutable audit trail
Feedback and Learning Loop
All operational data feeds back into the AI Orchestration Layer to create a closed-loop
system
and
refine the entire pipeline
Security, Trust
& Communication Protocol
AICMP employs multiple layers of network security to protect against attacks, such as
TLS/SSL
for
encryption, dedicated miner authentication, DDOS protection module
Bringing next-level AI innovation to PoW mining industry
AICMP is the first AI agent that fully manages PoW mining and utilizes a
holistic
strategy to maximize mining efficiency and long term ROI
CA: BAEXK4X6B3hkqmEkPuyyZQ5fZUb5iZ6SaJ7a9UDnpump
Whitepaper
Dynamic Task Allocation
AI-driven Task Allocation Engine that uses real-time data to tailor share
difficulty
to each miner’s performance profile
Reinforcement Learning for Optimization
Reinforcement Learning (RL) algorithms to continuously optimize the
mining
pool’s
allocation policies
Network and Market Prediction
Predictive Analytics Unit that employs machine learning models including
time-series
neural
networks
such as RNN, LSTM to forecast upcoming difficulty adjustments and mempool
congestion
for
transaction
fee optimization
Equitable Revenue Distribution
Innovative revenue distribution model to incentivize smaller miners through a
weighted
reward scheme
AI Orchestration Layer
The central hub of AICMP that contains four primary sub-modules: Data
Collection
Module, Task
Allocation Engine, Predictive Analytics Unit, Policy Management &
Reinforcement
Learning Module
Miner Interface Layer
AI-driven dashboards to visualize miners real time performance, operational
parameters
configuration
and critical issues, all powered by AICMP and Eagle Eye AI agent
Revenue Distribution Module
Fully automatic mining revenue distribution process with immutable audit trail
Feedback and Learning Loop
All operational data feeds back into the AI Orchestration Layer to create a
closed-loop
system
and
refine the entire pipeline
Security, Trust
& Communication Protocol
AICMP employs multiple layers of network security to protect against attacks,
such
as
TLS/SSL
for
encryption, dedicated miner authentication, DDOS protection module