Cortex (CTXC) aims to provide state-of-the-art machine-learning models on the blockchain in which users can infer using smart contracts on the Cortex blockchain.

Cortex

whitepaper

Background

AI on Blockchain - Feasibility Analysis

AI DApps

Introduction

Cortex Intelligent Inference Framework

Model Submission Framework

Smart AI contract

Expanding the capabilities of smart contracts and blockchain

Model and Data Storage

Cortex Consensus Inference Criteria

Model Selection and Valuation

Consensus Mechanism：PoW Mining

Fraud Prevention and Model Screening

System Architecture

CVM: EVM + Inference

Cortex Core Instruction Set and Framework Standards

Cortex Model Representation Tool

Storage Layer

Model Indexing

Model Cache

Full Node Experiment

Software Solutions

CUDA and RoCM

FPGA

Full Node Hardware Configuration Requirements - Multi-GPU and Legendary USB Mining

Hardware Modifications for Existing GPU Mining Farm

Mining and Computing on Mobile Devices and IoT

Hardware Solutions

Information Service

Financial Services

AI Assistant

Simulation Environment

Application Cases

Data Privacy

Block Size and TPS Improvement

Adapter of AI Chips on Mobile Devices

Future Work

Applications and Future Work

Roadmap

Rewards for Model Provider 

Cost for Model Provider

Model Complexity and Endorphin Spend

Cortex Coin (CTXC)

Token Distribution

Token Issuance Curve

Token Model

Core Team Members

Technical advisors

Academic advisors

Business advisors

Organization partnerships

Advisors

Leading Investors

Cortex Mathematical Representations of AI on blockchain

Supervised Learning

Unsupervised Learning

Semi-supervised Learning

Active Learning

Reinforcement Learning

Transfer Learning

Other Types of Learning

Summary of Basic Types for Deep Learning

Model Parallel

Data Parallel

Others

Distributed Cloud Computing Practice for Deep Learning

Cortex Lab Existing Achievements

Cortex - AI on Blockchain: The Decentralized AI Autonomous System

Cortex Whitepaper