Blockchain and AI Overview

As more clients join, performance often improves due to shared resources.

Designed for effective collaboration across devices with different resources.

Distributes data across nodes, removing central control.

All transactions are visible in a public ledger, promoting trust.

Data recorded in the blockchain cannot be altered or deleted.

Networks without a specific structure, usually peer-to-peer.

Organized networks that connect peers in a defined way.

Artificial intelligence is the capability of machines to perform tasks like humans.

A decentralized and transparent system for recording transactions securely.

Control of transactions is distributed among all users, not a single entity.

A record of all transactions that cannot be modified after approval.

The assurance that data is accurate and cannot be altered without consensus.

Data entered into the blockchain cannot be changed or deleted.

Multiple copies of data are stored across various machines to ensure validity.

Techniques used to secure data and link blocks in the blockchain.

The first major cryptocurrency utilizing blockchain technology for transactions.

Advanced neural networks that learn from large datasets for complex pattern recognition.

The ability of algorithms to identify and classify patterns in data.

The anonymous creator of Bitcoin, who released the Bitcoin white paper in 2008.

A subset of AI that enables systems to learn from data without explicit programming.

A document released in 2008 outlining Bitcoin's decentralized digital currency concept.

Deep neural networks designed for understanding and generating human language with complexity.

The first block mined in the Bitcoin blockchain, marking the start of the Bitcoin network.

Outputs that are probabilistic rather than deterministic, producing varied results from the same input.

A consensus mechanism used by Bitcoin to validate transactions and secure the network.

The process of cleaning and organizing raw data for effective training of models.

A decentralized platform created for running smart contracts and dApps, proposed by Vitalik Buterin in 2013.

A form of AI that understands, learns, and applies knowledge across various tasks, mimicking human intelligence.

Collections of data used to train machine learning models to recognize patterns and make predictions.

A 2016 incident where a project built on Ethereum was hacked, leading to significant fund theft.

The original Ethereum chain that remained after the hard fork in 2016 following the DAO hack.

A popular method for fundraising using blockchain technology, which gained popularity in 2017.

Financial services using blockchain without traditional banks.

Self-executing contracts with terms directly written into code.

A digital currency created by JPMorgan for transactions.

Unique digital assets representing ownership of items like art.

An upgrade to Ethereum that changes from proof-of-work to proof-of-stake.

Digital currencies issued by central banks using blockchain technology.

Consensus mechanisms; PoW needs computational power, PoS requires ownership stake.

The ability to generate new ideas or solutions when options are not clearly defined.

The process of making decisions in complex scenarios with conflicting outcomes.

The ability to think through and logically connect steps to achieve an objective.

AI designed to perform specific tasks within a limited context.

AI with human-like cognitive abilities to solve new and unfamiliar problems.

Finding the best decision from a clearly defined set using a performance metric.

A standard used to evaluate the success of different decisions or actions.

Problems with clear metrics and defined solutions.