Data Compression

type: entity

description: A process of reducing the amount of storage space needed for data.


Lossless Compression

description: Data compression technique that allows the original data to be perfectly reconstructed from the compressed data.


Entropy Encoding

description: A lossless data compression technique that assigns shorter codes to more frequent symbols.


Huffman Coding

description: A specific type of entropy encoding algorithm used for lossless data compression.


Encryption

description: The process of converting information or data into a code, especially to prevent unauthorized access.


Public Key Cryptography

description: A cryptographic system that uses pairs of keys: public keys, which may be disseminated widely, and private keys, which are known only to the owner.


Digital Signature

description: A mathematical scheme for demonstrating the authenticity of a digital message or document.


Blockchain Technology

description: A distributed, decentralized, public, digital ledger that is used to record transactions across many computers so that the record cannot be altered retroactively without the alteration of all subsequent blocks.


Distributed Ledger

description: A database that is replicated and shared across multiple participants.


Consensus Mechanism

description: A fault-tolerant mechanism that is used in computer and blockchain systems to achieve the necessary agreement on a single state of the network among distributed processes or multi-agent systems, such as with digital currencies.


Smart Contracts

description: A self-executing contract with the terms of the agreement directly written into code.


Decentralized Application (DApp)

description: An application that runs on a decentralized computing system.


Artificial Intelligence (AI)

description: The simulation of human intelligence processes by computer systems.


Machine Learning (ML)

description: A type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed.


Neural Networks

description: A series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.


Internet of Things (IoT)

description: A network of physical objects—or “things”—embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet.


Sensor Networks

description: A group of specialized transducers with a communications infrastructure intended to monitor and record conditions at diverse locations.


Cloud Computing

description: The on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user.


Big Data Analytics

description: The process of examining large and varied data sets – i.e., big data – to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more informed business decisions.


Quantum Computing

description: A type of computing that uses quantum phenomena such as superposition and entanglement to perform operations.


Qubit

description: The basic unit of information in quantum computing.


Superposition

description: A principle of quantum mechanics that states that a quantum system can exist in multiple states simultaneously.


type: axiom

statement: Data compression reduces storage space.


statement: Encryption protects data confidentiality.


statement: Blockchain provides a tamper-proof ledger.


statement: Smart contracts automate agreements.


statement: IoT connects physical objects to the internet.


statement: Cloud computing provides on-demand resources.


statement: Big data analytics reveals hidden patterns.


statement: Quantum computing leverages quantum mechanics.


statement: Consensus mechanisms ensure agreement in distributed systems.


statement: Neural networks are inspired by the human brain.


statement: Sensor networks monitor environmental conditions.


statement: Cloud computing reduces infrastructure costs.


statement: Big data requires specialized tools and techniques.


Data Storage Optimization

type: skill

capability: Reduce the amount of storage space required for digital data.


Secure Communication

capability: Transmit data securely, preventing unauthorized access.


Decentralized Record Keeping

capability: Maintain a secure and transparent record of transactions across a network.


Automated Contract Execution

capability: Automatically execute the terms of a contract without intermediaries.


Predictive Analysis

capability: Use data to predict future outcomes and trends.


Remote Monitoring

capability: Monitor physical environments and assets remotely using sensors.


Scalable Computing

capability: Scale computing resources up or down on demand.


Pattern Recognition

capability: Identify hidden patterns and relationships within large datasets.


Complex Problem Solving

capability: Solve complex problems that are intractable for classical computers.


Trustless Transactions

capability: Facilitate transactions without the need for a trusted third party.