Prezzo di MyNeighborAliceALICE

$ALICE Alice Coin is the native cryptocurrency of the Alice ecosystem, a social metaverse platform that combines social media, gaming, and decentralized finance (DeFi) elements. Key Features: 1. *Social Metaverse*: Alice allows users to create their own avatars, interact with others, and participate in various activities within the virtual world. 2. *Gaming*: The platform features a range of games, including puzzle, strategy, and role-playing games. 3. *DeFi Integration*: Alice incorporates DeFi elements, such as staking, lending, and yield farming, allowing users to earn rewards and participate in the ecosystem's growth. 4. *NFTs*: The platform supports non-fungible tokens (NFTs), enabling users to create, buy, and sell unique digital assets. Tokenomics: 1. *Token Supply*: The total supply of ALICE tokens is capped at 10 billion. 2. *Token Distribution*: ALICE tokens are distributed through various channels, including token sales, staking rewards, and community incentives. Price Prediction: As of now, the price of ALICE is around $0.00025. Some analysts predict that the price may reach: - *Short-term*: $0.0005 - $0.001 - *Medium-term*: $0.005 - $0.01 - *Long-term*: $0.05 - $0.1 Please note that these predictions are subject to change and should not be taken as investment advice. What would you like to know more about regarding Alice Coin?

Aggregated Structure of 5 $ALICE orderbooks just changed. There is now 58.23% more asks than bids within a 10% depth. Bids sum: $246,392.17 - Asks sum: $389,859.70 ️⚖️ 🔴️

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Germany’s upcoming federal election on February 23, 2025, could mark a turning point in the nation’s approach to cryptocurrency and financial innovation. Friedrich Merz, leader of the center-right Christian Democratic Union (CDU), leads the race with a pro-business and innovation-driven platform. His main rival, Alice Weidel of the far-right Alternative for Germany (AfD), advocates for aggressive crypto reforms and full deregulation of digital assets. With Germany’s influential role in European financial policy, the election’s outcome may shape the country’s stance on digital currencies and financial innovation. Friedrich Merz has built his campaign on promises of economic revitalization, pro-business policies, and financial reform. Before entering politics, Merz held prominent financial roles, including chairman of BlackRock Germany’s supervisory board and senior positions at HSBC Trinkaus & Burkhardt. He also served on the boards of Deutsche Börse, EY Germany, and Borussia Dortmund, reinforcing his financial expertise. To address Germany’s economic stagnation, Merz proposes cutting corporate and income taxes, reducing bureaucratic red tape, and expanding venture capital opportunities to establish Germany as a global startup hub. His platform includes creating a ministerial position for artificial intelligence and digitization, aligning with global trends toward technological innovation. While Merz is not an outspoken crypto advocate, his economic policies could indirectly benefit the digital asset industry. His administration would likely support the introduction of a digital euro, but only if it proves beneficial. A recent survey from Germany’s central bank revealed that half of Germans would “definitely” or “probably” use a digital euro, highlighting growing public interest in central bank digital currencies (CBDCs). Merz aims to balance innovation with regulation, maintaining financial stability while encouraging technological growth. Alice Weidel, leader of the AfD, has taken a far more aggressive stance on cryptocurrency and financial reform. Her platform calls for full deregulation of Bitcoin and other digital assets, promoting a decentralized financial system with minimal government oversight. Endorsed by Elon Musk, Weidel’s proposals include Germany’s exit from the euro—an idea that has sparked significant debate within the financial community. Though trailing in the polls, Weidel’s strong pro-crypto rhetoric has resonated with segments of the digital asset community. Her policies, if implemented, would position Germany as one of the most crypto-friendly regulatory environments globally. As reported by CNF, AfD’s push for extensive crypto deregulation stands out in this election, setting the stage for a potential overhaul of Germany’s digital finance laws. Weidel’s radical proposals represent a stark contrast to Merz’s cautious, business-driven approach. Her vision prioritizes financial autonomy and deregulation, which, while appealing to crypto advocates, raises concerns about market volatility and EU relations. As Europe’s largest economy, Germany’s financial policies carry significant weight within the European Union. A Merz-led government would likely pursue a balanced approach, focusing on reducing bureaucracy while cautiously embracing digital innovation. His plans include strengthening the European Capital Markets Union and positioning Germany as a leader in venture capital and startups through tax incentives. Merz’s platform also emphasizes combating financial crime, with proposals to create a customs police force targeting money laundering and financial misconduct. This regulatory focus suggests that, while supportive of financial innovation, Merz would prioritize oversight and market stability. Conversely, Weidel’s approach signals a radical departure from traditional policies. Her aggressive push for crypto deregulation challenges the CDU’s measured stance and could disrupt Germany’s economic alignment with the EU. As discussed earlier by CNF, the president of the Deutsche Bundesbank, Joachim Nagelt, has expressed skepticism toward cryptocurrencies. Speaking at an OMFIF lecture in association with the London School of Economics, Nagel dismissed the idea of Bitcoin as a reserve asset and warned of the uncertain impact of CBDCs on economic policy. Despite this, the Bundesbank remains a strong proponent of the digital euro.

In a groundbreaking development, artificial intelligence is transforming flood forecasting, enabling real-time predictions that can save lives and protect infrastructure. By leveraging NVIDIA's Modulus framework, researchers have developed an AI-driven system that dramatically enhances disaster preparedness and risk mitigation. ▪️The Challenge with Traditional Flood Forecasting Traditional flood forecasting relies on physics-based numerical simulations, which, while accurate, are incredibly time-consuming. These simulations can take hours to model flooding events, making real-time forecasting impractical. The need for a faster, more efficient solution has led to the integration of AI, which can process complex flood data in seconds rather than hours. ▪️How AI is Changing the Game Using a deep learning approach, this new AI system emulates physics-based flood models. By training on vast amounts of detailed flood data, the model learns to predict flooding events almost instantly. What used to take hours on conventional computing systems can now be completed in milliseconds using AI-powered GPUs. One of the most impressive aspects of this AI model is its ability to predict flooded areas and flow rates in short intervals, extending several hours into the future. The AI is not just fast—it’s highly accurate, allowing authorities to make better decisions in real-time. ▪️Training AI for Real-World Impact The AI model was trained using large-scale flood data, processed on high-performance GPUs to ensure speed and precision. Through advanced machine learning techniques, it learned to simulate how water behaves across different landscapes, accounting for topography, infrastructure, and weather conditions. ▪️A Future of Real-Time Flood Predictions This breakthrough highlights the enormous potential of AI in environmental modeling. With this technology, emergency responders can receive rapid, reliable flood forecasts, allowing them to take proactive measures before disaster strikes. As AI continues to evolve, it’s expected to become an integral part of flood management systems worldwide. By combining AI with traditional physics-based approaches, we are moving toward a future where flood forecasting is no longer reactive but predictive—giving communities the time they need to prepare and respond. $ALICE $AI16Z