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Introduction: Project Overview: Empathize: Define: Ideate: Prototype: Test: Results and Impact: Conclusion: Visuals and Documentation: Remember to tailor the presentation to your specific audience and emphasize the impact and value generated through your application of Design Thinking methodologies.

The recent Dencun upgrade on the Ethereum network marked a significant step towards its scalability goals. A core component of the Surge phase, Dencun introduces Proto-Danksharding through EIP-4844, laying the groundwork for a more efficient and accessible staking environment. This article explores how Dencun impacts restaking on Ethereum, a concept gaining traction in the DeFi

The year 2023 has marked the rise of ZK-Rollups, a promising solution for the scalability-security-privacy trilemma in blockchain. According to Vitalik Buterin, ZK-Rollups are expected to outperform other layer-2 solutions, such as optimistic rollups, and emerge as the leading scaling technology. With the launch of projects like zkSync Era and the continuous development of Matter

Layer 2 solutions are protocols built on top of base blockchains (layer 1) that enable faster transactions, improved scalability, and lower fees while benefitting from the underlying blockchain’s security. They process transactions off-chain and periodically settle data to layer 1. Types of layer 2 solutions: State Channels Sidechains Plasma Chains Rollups (Optimistic and ZK) In

Introduction As the blockchain ecosystem continues to grow and evolve, scalability remains a major challenge. Layer 2 solutions have emerged as a promising way to address this issue, offering increased transaction speed and reduced fees while maintaining the security and decentralization of the underlying blockchain. In this article, we will provide a comprehensive overview of

Introduction: The field of cognitive psychology has long been a cornerstone of understanding human behavior and cognition. With the rapid advancements in artificial intelligence (AI), the integration of cognitive psychology principles into AI models has opened up new possibilities for real-world applications. In this article, we explore the practical implications of cognitive psychology in AI,

QUARTER BY QUARTER After visiting the website of Challenger, Gray & Christmas, Inc., my experience started as I delved into their article and subsequently read the complete report: JOB CUTS FALL TO LOWEST POINT IN 11 MONTHS; YTD CUTS UP 203%, HIRING DOWN 83% YOY During this process, I began to sense the potential for

ncrease productivity with BARD by leveraging Python for data visualizations. Tap into BARD’s coding capabilities to create insightful and compelling visual representations of data, optimizing your data exploration and analysis processes. Photo Mojahid Mottakin by on Unsplash ChatGPT used to be widely acclaimed for its data visualization capabilities. However, there was a significant update in

Interactive global CO2 emissions data visuals in 4 easy steps. ChatGPT is revolutionizing how we create complex data visualizations, letting us easily leverage awesome Python libraries without getting tangled in syntax. But there’s a method to implementing generative AI to work in our favour— modular prompt engineering. Designing just the right instruction for ChatGPT is

Natural Language Processing (NLP) can significantly enhance e-commerce product recommendation algorithms through various techniques. By analyzing and understanding user-generated content, NLP can provide more personalized and accurate product recommendations. Here’s how NLP can be applied: Implementing NLP in product recommendation algorithms requires a sophisticated understanding of both the technical aspects of NLP and the specific