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Post: Where Blockchain Meets AI: Exploring The Convergence Of Technologies

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Where Blockchain Meets AI: Exploring The Convergence Of Technologies
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Matvii Diadkov, Bitmedia.IO founder and crypto geek. He also launched numerous Web3 gaming projects and holds a Master in Computer Science. Artificial Intelligence Processor Concept. AI Big Data Array A blockchain consists of a series of blocks, each containing a list of transactions, a timestamp and a cryptographic hash that links it to the previous block. This structure creates an immutable chain of records where the arbitrary alteration, manipulation or falsification of data can’t happen without consensus from the majority of validators.

Instead of a centralized server, the network is maintained by nodes, which are individual computers that store the same copy of the blockchain on their devices. This allows anyone to view and audit the transactions that have already been processed into a block by validators and brought on-chain.

Smart contracts enable blockchains to support a wide range of programmable applications, such as non-fungible tokens, native tokens, decentralized finance protocols, digital identity and supply chain solutions. Researchers estimate the global blockchain market will grow from $4.8 billion in 2022 to $69 billion by 2030 at a 68% compound annual growth rate. How AI And Machine Learning Transform Data

Artificial intelligence (AI) aims to create systems capable of performing tasks requiring human intelligence, such as problem-solving, decision-making, language understanding and perception. It employs methods ranging from rule-based systems to advanced neural networks. The goal is to simulate human cognition, enabling machines to process data, learn and adapt.

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Machine learning, a subset of AI, develops algorithms that allow computers to identify patterns and make predictions. It includes supervised, unsupervised and reinforcement learning, each suited for specific problems. Deep learning, a branch of ML, uses neural networks to analyze large datasets; it excels in image recognition, natural language processing and speech synthesis.

What I see as one of the most important innovations is generative AI, which generates text, audio, images and other content. It powers […]

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