Author name: Crypto Crypto

BINANCE USERS Will receive 15,586,564.37 $PEPE = 120USDT FROM BINANCE | BINANCE HACK #binance

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BINANCE USERS Will receive 15,586,564.37 $PEPE = 120USDT FROM BINANCE | BINANCE HACK #binance Read More »

Which Offers Better Blockchain Solutions

Blockchain /

An Analysis of Cardano vs. Polkadot to identify which offers superior Blockchain solutions Cardano and Polkadot are two prominent blockchain platforms, each with unique strengths. Cardano features a two-layer system, prioritizing fast transactions and low costs, appealing to users valuing efficiency. In contrast, Polkadot offers infinite scalability and sustainability, allowing multiple blockchains to connect on

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New Coin Grabs the Attention of Optimism and ORDI Investors: Is $MEDA the Next Big Thing in Crypto?

Latest News /

TLDR Optimism to deploy a fault-proof feature for transactions. ORDI has a low investment risk. Milei Moneda promises to be a gold mine. Many investors remain interested as Optimism (OP) deploys a fault-proof feature for settlements and transactions. Likewise, ORDI’s low investment risk makes it a suitable target for whales. In more crypto news, many

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Understanding Bitcoin Network Congestion: High Fees, and What to Do | by Blockchain.com | @blockchain

Bitcoin /

The Bitcoin network is currently experiencing significant congestion, leading to high transaction fees and delays in confirmation times. Why is the Bitcoin Network Congested? The growing popularity of Bitcoin has resulted in an increased number of transactions, straining the network’s capacity. Additionally, the limited block size of 1MB means that only a fixed number of

Understanding Bitcoin Network Congestion: High Fees, and What to Do | by Blockchain.com | @blockchain Read More »

Counteracting Bias in AI: Toward an Equitable Future

ICO /

Abstract In this paper led by Dr. Pooyan Ghamari, a renowned economist from Switzerland, the issue of bias in artificial intelligence (AI) systems is explored, focusing on its potential impact on societal disparities. The paper introduces a comprehensive approach to promoting fairness within AI applications, emphasizing the significance of diverse data inputs, accountability

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