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The price of EOS rose 25% following news of its rebrand to Vaulta and a shift toward web3 banking. EOS ( EOS ) gained 25% to $0.61 after the network announced plans to rebrand as Vaulta to “realize the vision of web3 banking.” In a press release on Tuesday, March 18, EOS said the transition, which includes a token swap, is expected to take place by the end of May, though the timeline still remains subject to change. Yves La Rose, founder and CEO of the Vaulta Foundation, claims the shift represents “more than just a name change,” adding that Vaulta is the “product of years of planning, strategic development, and thoughtful design.” The rebrand follows a prolonged period of weak price performance for EOS, which has struggled to recover not only from its all-time high in 2018 but also from its 2021 levels, which were more than 30% lower than its peak. The transition is described as part of a broader effort to integrate blockchain with traditional financial services. According to the announcement, Vaulta will act as an operating system for web3 banking, aiming to provide scalable and decentralized financial services. The network will also introduce the Vaulta Banking Advisory Council, a group of banking experts tasked with helping to bridge traditional finance with blockchain. Meanwhile, blockchain security firm SlowMist issued a warning about address poisoning attacks on wallets holding EOS. According to the firm, bad actors are sending out 0.001 EOS to users to lure them into unknowingly interacting with fraudulent addresses. These attackers create wallet addresses that closely resemble legitimate ones, hoping users will mistakenly copy and paste the wrong address when making transactions. As part of the rebrand plans, Vaulta will integrate with exSat, a Bitcoin digital banking solution, adding that exSat’s services will “complement Vaulta’s BankingOS,” positioning BTC as a key component of its financial model. Further details, including the new token ticker and additional partnerships, are expected to be announced in the coming months.

Tron’s native cryptocurrency, TRX, has seen a significant 6% climb today following an announcement from its founder, Justin Sun. Sun revealed plans to aggressively develop the meme coin ecosystem on the Tron blockchain, a move that has clearly resonated with the market. This news triggered a strong market reaction, with daily trading volumes soaring 64.66% to over $1.16 billion. In the last 48 hours, TRX has rebounded by 15%, bouncing off key support at $0.21. Justin Sun took to X (formerly Twitter) to share his vision, stating that the initial step in Tron’s meme coin adoption will be his commitment to not personally profit “a single cent from memes.” This declaration appears to have instilled confidence among investors. Furthermore, the crypto entrepreneur made a bold promise that any losses will be “fully covered” by Sun himself, adding that all proceeds will be donated. His commitment to meme projects without personal financial gain has strengthened investor confidence, fueling speculation of further price growth. Meanwhile, Sun confirmed that TRX, the native token of the Tron ecosystem, will soon be made available on the Solana (SOL) blockchain network and asked developers to get “ready to buy and collaborate.” Related: Justin Sun Wins Defamation Case Against Sina, Setting Crypto Misinformation Precedent Analysts are setting ambitious price targets for TRX. Popular crypto analyst Javon Marks has forecasted a massive price surge, predicting that TRX is on track to reach $1.11, a 516% increase from its current levels. Adding to the bullish outlook, social analytics platform LunarCrush reports a significant spike in community engagement on Justin Sun’s blockchain protocol. Tron now accounts for 1.05% of all crypto-related discussions, underlining the rising investor interest in TRX. TRX currently trades at $0.2344, up 6% in the last 24 hours, CoinMarketCap data shows. The digital asset reached a daily high of $0.243 and has successfully reclaimed the 20-day Exponential Moving Average (EMA) at $0.2304, which is now being retested as a support level. The Relative Strength Index (RSI) is currently at 53.09, indicating a neutral momentum. However, a move above the 60 mark could signal further strengthening of bullish momentum, while a drop below 45 might suggest a potential pullback. Related: HTX Hints at Justin Sun & Trump Crypto Ties in Cryptic Post The upper Bollinger Band resistance is at $0.2505, while support lies at $0.2135. A breakout above resistance could propel TRX toward the $0.30-$0.35 range, whereas a breakdown might test the $0.21 support level again. Disclaimer: The information presented in this article is for informational and educational purposes only. The article does not constitute financial advice or advice of any kind. Coin Edition is not responsible for any losses incurred as a result of the utilization of content, products, or services mentioned. Readers are advised to exercise caution before taking any action related to the company.

On March 17, Michelle Weekley, an executive at cryptocurrency enterprise Byte Federal, ignited a provocative dialogue regarding the U.S. Department of Defense’s potential exploration of bitcoin ( BTC) mining. On Monday Weekley declared, “I think the DoD is going to start mining bitcoin,” accompanying her hypothesis with a series of mysterious and vague visuals. Weekley’s X post. Among the disseminated materials was a repost from Michael Saylor, founder of Strategy, featuring his cryptic declaration: “Big things are coming.” Weekley further amplified intrigue by circulating a snapshot from Matthew Pines, Bitcoin Policy Institute’s Executive Director, depicting a nondescript conference space captioned, “The room where it happened.” She also stoked curiosity by showing a visual from Bitcoin Magazine CEO David Bailey, who interjected with philosophical brevity beneath Michael Saylor’s cryptic “Big things are coming” post: “Embrace the Game Theory.” A subsequent Bailey missive, “When you think the show is over but it’s really just beginning,” added layers of mystery to the digital collage. Her curated gallery further spotlighted Jason Lowery, a U.S. Space Force officer and aeronautics expert, whose X exchange revealed tantalizing opacity. When queried about a profile photo change, Lowery demurred, “Give it about 3 weeks and it should become more obvious”—a remark harmonizing with Weekley’s hypothesis. Her conjecture also mirrors Lowery’s treatise in “Softwar: A Novel Theory on Power Projection and the National Strategic Significance of Bitcoin,” which posits that harnessing tangible assets—like energy—to command virtual realms could fortify a nation’s defenses. Should the DoD venture into bitcoin mining, it would plunge into the proof-of-work (PoW) mechanism, transforming kilowatts into cryptographic fortifications. Such a gambit dovetails with Lowery’s vision of leveraging tangible assets to dominate digital domains, framing blockchain security as a geopolitical chesspiece. By anchoring network integrity through computational heft, the agency might actualize Lowery’s Softwar doctrine. Published in February 2023, Lowery’s manifesto reimagines Bitcoin not as a mere digital currency network but an electro-cyber shield with profound tactical ramifications. His thesis hinges on the friction between corporeal force (energy, bound by thermodynamics) and ideological dominion (collective belief), interlaced with strategies rooted in game theory principles. Weekley’s speculative thread, meanwhile, ignited several digital pundits, who flooded the thread with conjecture. The founder of Barefoot Mining, Bob Burnett responded saying, “I’m not saying I like it, but it is inevitable. The Fed will likely do so as well and so will the CIA and NSA. I expect that the latter two already do.” Another person in Weekley’s thread remarked stating, “I think the DoD has been mining bitcoin for years as a national security issue and Softwar and [Jason Lowery] has been the education vehicles to move the Overton Window.” If the DoD were to embrace the Softwar thesis, it could completely reshape the way cyber warfare is waged. Instead of leaning solely on conventional methods like malware and hacking, nations would engage in a battle of computational power and energy dominance. The tangible costs of proof-of-work would make any attempt to attack or manipulate the system prohibitively expensive, creating a formidable shield for national cybersecurity. For now, though, the idea remains pure speculation—just theoretical musings without any concrete action. Still, it’s an intriguing concept to consider. 免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。

Crypto miners can now leverage Bitcoin-backed loans through M2’s partnership with NiceHash. Abu Dhabi-based cryptocurrency exchange M2 has partnered with NiceHash, a cryptocurrency mining services provider, to introduce flexible lending solutions for miners. According to a press release shared with crypto.news on Tuesday, the initiative aims to help miners access liquidity without selling their Bitcoin ( BTC ) holdings. Through this collaboration, M2 plans to offer loans in Tether’s ( USDT ) stablecoin to crypto miners using BTC as collateral. The companies suggest that these loans could help miners scale operations, cover expenses, and manage cash flow more effectively. “At M2, we understand the challenges miners face in maintaining liquidity while preserving their Bitcoin investments. Our partnership with NiceHash represents a shared vision of empowering miners with smarter financial solutions that allow them to grow their businesses without sacrificing their Bitcoin holdings.” — Sudhu Arumugam, M2 Chief Product Officer According to M2, miners could unlock liquidity by using their Bitcoin as collateral and get “flexible repayment options, including allocating a portion of their hash rate.” NiceHash, a hashrate marketplace operator, emphasized that it’s more than just a temporary partner in the venture, stating that its technology is now “powering the tech behind M2’s lending solutions.”

Artificial intelligence (AI) is transforming the education sector, enabling personalized learning, improving student outcomes, and enhancing teacher effectiveness. AI-powered learning platforms are at the forefront of this revolution, providing adaptive learning experiences, real-time feedback, and data-driven insights. In this article, we'll explore the potential of AI-powered learning platforms, highlighting their benefits, challenges, and future developments. # Benefits of AI-Powered Learning Platforms AI-powered learning platforms offer several benefits, including: 1. *Personalized Learning*: AI-powered learning platforms provide adaptive learning experiences, tailoring content, pace, and difficulty to individual students' needs. 2. *Real-Time Feedback*: AI-powered learning platforms offer real-time feedback, enabling students to track their progress, identify areas for improvement, and adjust their learning strategies. 3. *Data-Driven Insights*: AI-powered learning platforms provide data-driven insights, enabling teachers to monitor student progress, identify knowledge gaps, and inform instruction. 4. *Increased Accessibility*: AI-powered learning platforms increase accessibility, enabling students with disabilities, remote students, and students from disadvantaged backgrounds to access high-quality educational resources. # Challenges of AI-Powered Learning Platforms AI-powered learning platforms also face several challenges, including: 1. *Technical Complexity*: AI-powered learning platforms require complex technical infrastructure, including data storage, processing power, and software integration. 2. *Data Quality and Integration*: AI-powered learning platforms require high-quality, integrated data to function effectively, which can be challenging in education, where data is often fragmented and siloed. 3. *Teacher Professional Development*: AI-powered learning platforms require teachers to develop new skills and competencies, including data analysis, instructional design, and technology integration. 4. *Equity and Bias*: AI-powered learning platforms can perpetuate equity and bias issues, particularly if the data used to train AI systems is biased or incomplete. # Future Developments of AI-Powered Learning Platforms AI-powered learning platforms are rapidly evolving, with several future developments on the horizon, including: 1. *Natural Language Processing*: AI-powered learning platforms will increasingly incorporate natural language processing, enabling students to interact with AI systems using voice or text commands. 2. *Computer Vision*: AI-powered learning platforms will increasingly incorporate computer vision, enabling AI systems to analyze visual data, such as images and videos. 3. *Blockchain and Distributed Ledger Technology*: AI-powered learning platforms will increasingly incorporate blockchain and distributed ledger technology, enabling secure, transparent, and decentralized data management. 4. *Human-AI Collaboration*: AI-powered learning platforms will increasingly focus on human-AI collaboration, enabling teachers and AI systems to work together to provide personalized learning experiences. # Case Studies of AI-Powered Learning Platforms Several organizations are already leveraging AI-powered learning platforms to improve education outcomes, including: 1. *DreamBox Learning*: DreamBox Learning is an AI-powered math education platform that provides personalized learning experiences for students in grades K-8. 2. *Coursera*: Coursera is an online learning platform that partners with top universities to offer AI-powered courses and degree programs. 3. *Knewton*: Knewton is an AI-powered education platform that provides personalized learning experiences for students in grades K-12. 4. *McGraw-Hill Education*: McGraw-Hill Education is a leading education company that offers AI-powered learning platforms for students in grades K-12 and higher education. # Conclusion AI-powered learning platforms are revolutionizing education, providing personalized learning experiences, real-time feedback, and data-driven insights. While these platforms face several challenges, including technical complexity, data quality, and equity, they offer significant potential for improving education outcomes. As AI-powered learning platforms continue to evolve, they will increasingly incorporate natural language processing, computer vision, blockchain, and human-AI collaboration, enabling more effective, efficient, and equitable education systems. # Recommendations 1. *Invest in AI-Powered Learning Platforms*: Invest in AI-powered learning platforms that provide personalized learning experiences, real-time feedback, and data-driven insights. 2. *Develop Teacher Professional Development Programs*: Develop teacher professional development programs that focus on AI, data analysis, instructional design, and technology integration. 3. *Address Equity and Bias Issues*: Address equity and bias issues in AI-powered learning platforms, ensuring that these platforms promote fairness, transparency, and accountability. 4. *Foster Human-AI Collaboration*: Foster human-AI collaboration in education, enabling teachers and AI systems to work together to provide personalized learning experiences.