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Hey hackers! Did you know that HackerNoon runs a to gauge reader sentiment on topics of interest? That’s right, every Monday readers are greeted with a new poll curated by a HackerNoon editor on some of the most trending news on the web (plus some general, wacky ones too just for fun!). weekly poll Now all that’s great, but what if we told you that there’s a way to go a step further with these polls and truly analyze readers’ sentiment? Let’s look at the : current poll running on HackerNoon Poll #1 Lesson: How to vote? This week's poll focuses on the debate over the potential ban of ByteDance’s TikTok in the US over national security concerns. Is it an overreach by the US government or a step in the right direction? To vote, pick the option that best aligns with your thoughts and compare it with the broader reader population 😎 Poll #2 Lesson: How to check past polls? Click on the “ ” to access a list of all the polls HackerNoon has run in the past. Poll of the Week Now, select a poll that has already closed and analyze the results 🥳 Poll #3 Lesson: How do I access polls' templates? Let’s look at the “ ” poll: if you click on the poll, it should show you a prompt that you can use to start analyzing the results right away! Take a look: What is your web browser of choice Got it?! AWESOME 👏 Here are some of our favorite polls that are definitely worthy of your analysis: How Much Faith Do You Have in Your Government to Effectively Regulate AI? Will AI stocks suffer the same fate as the dot-com bubble? Where do YOU think bitcoin's price is heading by the end of the year? Do You Think the "Metaverse" Will Ever Truly Take Off? Other News Around The Web Nvidia GTC Ah, Nvidia. What can be said about the company that hasn’t been said already after it became the arms dealer of choice for the generative artificial intelligence boom. Well, apparently a lot! The company its annual GPU Technology Conference, or GTC, heralding the launch of the Blackwell class of AI chips that are supposed to be better than their Hopper predecessors. But what could these new processors mean for the development of more powerful AI and what does Nvidia’s change in business direction mean for consumers at large? recently held Let us know ! here TikTok’s Future in the US Should TikTok face a ban in the US? That’s the question we’re readers this week as we highlight this important issue. The US House recently passed a bill requiring ByteDance, the parent company of TikTok, to divest from the app within 180 days or face prohibition (a ban) in the U.S. However, Senate supporters argue that this is not a ban but rather a transition of ownership to ensure national security. Is this overreaction, and perhaps, an overreach by the US government? asking and share your thoughts . Vote in the Poll here Sam Bankman-(never getting)Freed Looks like Sam Bankman-Fried’s days as a billionaire and crypto entrepreneur are over (not that there was ever a chance he would be able to dazzle in crypto ever again anyway). The once wildly successful owner of crypto exchange FTX learned this past week what financial mismanagement gets you; a quarter of a century in prison. SBF’s sentencing, which he’s going to appeal, apparently also saw a wild increase in the prices of memecoins (we’re talking thousands of %age up). In light of what’s happened, what do you of the sentencing and how do you in 2024? think feel about cryptocurrencies Optout Writing Contest HackerNoon’s partnership with Aut Labs is still going strong and we’ve seen some great entries these past few weeks! If you’d like to take a stab at thousands of dollars in USDT, simply head on down to and start writing on the Contest and tell us how YOU are opting out of a system that does not represent you. winning our template here #Optout Happy writing!

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GMX v2 and Its Competitors: The New Wave In the Decentralized Derivatives Market And Its Impact

**SINGAPORE, Singapore, March 13th, 2024/Chainwire/--**SynFutures is a leading decentralized derivatives exchange, today announced the Trading Grand Prix (TGP) Competition, setting a new record with the largest stablecoin prize pool ever offered in decentralized finance (DeFi) history. With 500,000 USDB in rewards, the competition marks a monumental milestone following the launch of SynFutures V3 on Blast, which garnered over 300,000 registrations and more than $24M in TVL in just one week. The TGP is designed to spotlight SynFutures’ new Oyster AMM (oAMM), a fusion of automated market-making with an onchain order book model, setting a new benchmark for capital efficiency in DeFi. Historically, the gap between DeFi and CeFi has been pronounced, with the latter often outpacing in efficiency and user experience. Powered by the novel oAMM, SynFutures V3 bridges this divide, heralding a new era where DeFi can compete head-on with its centralized counterparts. An Eight-Week Marathon of Skill and Strategy. Beginning March 12, 2024, and ending May 7, 2024, the competition invites all traders to navigate the volatile seas of decentralized perps trading, leveraging SynFutures’ unmatched efficiency to secure their spot among the legends of the trade. Each tournament stands alone, offering fresh chances to win weekly USDB prizes, with up to 10,000 USDB awarded to the top trader. TGP also features a Masters Tournament, drawing in luminaries from the DeFi community and leading firms. Particpants include @jandx_, @RoofHanzo, @CMSholdings, @Awawat_Trades, @CL207, @keyboardmonkey3, @mattomattik, @nanixbt, @izebel_eth, @_jaechung, @cryptoethan, and @ResearchKronos. This elite gathering underscores the competition's significance, providing an onchain stage for the best to showcase their strategies under the most dynamic of market conditions. Rachel Lin, Co-founder and CEO of SynFutures, reflected on the inception of the trading competition. "Having seen so much success with our V3 launch on Blast, we wanted to celebrate this milestone by doing something unprecedented in DeFi. The Grand Prix isn't just a competition; it's a testament to our belief that DeFi can offer a trading experience as rich, if not richer, than CeFi. This competition invites the trading community to experience our new platform's capabilities firsthand." As the Grand Prix beckons, all traders are invited to partake in this historic event, vying for a piece of the half-million USDB prize pool. It's more than a competition; it celebrates strides toward a decentralized future, underscored by SynFutures' unwavering commitment to innovation, efficiency, and community. In addition to the TGP, users on SynFutures can earn up to 3x the rewards potential through the Expanded Oyster Odyssey (OO) program. Traders and liquidity providers will be rewarded with Blast, Blast Gold (Big Bang developer airdrop allocation), and OO points. A breakdown of the rewards distribution can be found . here Users can visit the for more information on , leaderboard updates, and registration details. SynFutures blog The Grand Prix Trading Competition About SynFutures SynFutures is a decentralized perpetual futures protocol that facilitates open and transparent trading on any assets and listings instantly. The V3 Oyster AMM launched the industry's first-ever unified AMM and onchain order book model. Backers include Tier 1 Web3 institutional investors Pantera Capital, Polychain Capital, Susquehanna International Group (SIG), Dragonfly Capital, Standard Crypto, and Framework Ventures, and the team has extensive experience at global financial institutions, fintech companies and blockchain technology companies such as Alipay, Bitmain, Credit Suisse, Deutsche Bank, Matrixport, and Nomura Securities.  Learn more: | | | | | | Website YouTube X Discord Telegram Github Press Kit Contacts CMO Mark Lee SynFutures mark.lee@synfutures.com Head of Content Greer Rodriguez SynFutures greer.rodriguez@synfutures.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here.

SynFutures Launches 500,000 USDB DeFi Trading Competition Following V3 Launch

The crypto market's dynamics shift as the Cardano (ADA) price navigates a correction. Meanwhile, Polkadot’s DOT price reflects a notable 12% increase, capturing the market spotlight. Amid these market movements, 's presale surge stands out, hinting at its potential as the best crypto to buy in 2024. This article explores the reasons behind these trends and what they could mean for future investments. BlockDAG (BDAG) Cardano (ADA) Price Challenges The Cardano (ADA) price recently showcased promising performance, reaching $0.74. However, maintaining this rally is crucial as Cardano struggles to solidify $0.74 as a support level. The fading momentum might lead investors to reconsider their positions in ADA. Understanding the MVRV ratio sheds light on the Cardano (ADA) price, offering insights into investors' current profit or loss status, which is vital for market analysis. The significant rise in Cardano's price since October 2023 has been overshadowed by critiques of its ecosystem, particularly the prevalence of "dead coins." Research emphasizes this issue, which puts the Cardano price under scrutiny, suggesting a need for strategic rejuvenation to bolster confidence among investors and sustain the Cardano price in the competitive crypto market. Polkadot Price: Leading the Charge in Blockchain Interoperability Polkadot's (DOT) recent market performance reflects a notable rally. The DOT price surpasses key resistance levels to achieve a new multi-month high at $11.00. The DOT price's ability to maintain gains above significant Fib retracement levels suggests robust market confidence in Polkadot's long-term potential. Polkadot is a pioneering force in blockchain connectivity designed to foster interoperability and seamless data transfer across diverse blockchains. Launched with the vision of enabling a decentralized web, Polkadot's unique staking model and emphasis on security through adaptability highlight its commitment to creating a more interconnected and user-controlled internet. These features position DOT as a key player in the discussion on crypto coins. BlockDAG's Presale Triumph BlockDAG's batch 2 presale has surged remarkably, raising over $3.7 million and selling more than 3,300 miners, showcasing its robust entry into the crypto market. This bullish run underscores investor confidence, positioning BlockDAG as a potential best crypto to buy in 2024. Already on the cusp of conclusion, the fast-selling batch 2 indicates a high demand among traders and investors keen on securing a stake in what promises to be a groundbreaking project in the evolving cryptocurrency landscape. The appeal of BlockDAG extends beyond its impressive presale figures; it's seen as offering substantial ROI potential, with predictions suggesting a 10,000x return. Such forecasts attract a broad spectrum of the crypto community, from traders to miners, all drawn to the stability and potential BlockDAG promises. This enthusiasm is rare, highlighting BlockDAG's unique position in the market. Moreover, BlockDAG's attraction isn't just financial; its technical robustness and vision for the future resonate with those seeking sustainable and impactful crypto investments. Miners, in particular, focus on BlockDAG, motivated by its mining potential and the sustainable model it proposes, marking it as a forward-thinking choice in digital currency mining. Final Thought As Cardano navigates its hurdles and Polkadot exemplifies interoperability strength, BlockDAG's presale momentum underscores its rising significance. With significant ROI prospects and forward-thinking strategies, BlockDAG emerges as an attractive presale choice, heralding innovation and constancy in the ever-evolving crypto arena, marking it as the best crypto to buy in 2024. Join BlockDAG Network Now: | | | Website Presale Telegram Discord This story was distributed as a release by BTCWire under HackerNoon’s Business Blogging Program. Learn more about the program here: https://business.hackernoon.com/

Crypto Bull Run 2024: BlockDAG Presale Bags $3.8M Amid Cardano Price Correction and Polkadot Surge 

Crypto Bull Run 2024: BlockDAG প্রিসেল ব্যাগ $3.8M Cardano মূল্য সংশোধন এবং Polkadot বৃদ্ধির মধ্যে

Crypto Bull Run 2024: BlockDAG-Vorverkauf kassiert 3,8 Millionen US-Dollar inmitten der Cardano-Preiskorrektur und des Polkadot-Anstiegs

Crypto Bull Run 2024: la preventa de BlockDAG obtiene $ 3,8 millones en medio de la corrección del precio de Cardano y el aumento de Polkadot

Crypto Bull Run 2024 : la prévente BlockDAG empoche 3,8 millions de dollars au milieu de la correction des prix de Cardano et de la hausse de Polkadot

क्रिप्टो बुल रन 2024: कार्डानो मूल्य सुधार और पोलकाडॉट उछाल के बीच ब्लॉकडीएजी प्रीसेल ने $3.8 मिलियन प्राप्त किए

クリプト・ブル・ラン2024：カルダノの価格修正とポルカドットの急騰の中で、BlockDAGのプレセールで380万ドルが手に入る

Crypto Bull Run 2024: Cardano 가격 조정 및 Polkadot 급증으로 BlockDAG 사전 판매가 380만 달러에 달함

Crypto Bull Run 2024: pré-venda BlockDAG embolsa US$ 3,8 milhões em meio à correção de preço de Cardano e aumento de Polkadot

Crypto Bull Run 2024: предварительная продажа BlockDAG собрала 3,8 миллиона долларов на фоне коррекции цен на Cardano и резкого роста Polkadot

Crypto Bull Run 2024: BlockDAG Ön Satış, Cardano Fiyat Düzeltmesi ve Polkadot Artışı Ortasında 3,8 Milyon Dolar Kazandı

Crypto Bull Run 2024: Túi bán trước BlockDAG 3,8 triệu đô la trong bối cảnh điều chỉnh giá Cardano và sự tăng vọt của Polkadot

2024 年加密货币牛市：在 Cardano 价格调整和 Polkadot 飙升的背景下，BlockDAG 预售收入达 380 万美元

This paper is available on arxiv under CC 4.0 license. Authors: (1) Terence Blésin, Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL) & Center of Quantum Science and Engineering (EPFL); (2) Wil Kao, Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL) & Center of Quantum Science and Engineering (EPFL); (3) Anat Siddharth, Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL) & Center of Quantum Science and Engineering (EPFL); (4) Alaina Attanasio, OxideMEMS lab, Purdue University; (5) Hao Tian, OxideMEMS lab, Purdue University; (6) Sunil A. Bhave, OxideMEMS lab, Purdue University; (7) Tobias J. Kippenberg, Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL) & Center of Quantum Science and Engineering (EPFL). Table of Links Introduction Results A. Physics and design B. Device characterization C. Bidirectional microwave-optical transduction D. Pulsed transduction Discussion Acknowledgments Appendix A: Theory Appendix B: Fabrication process flow Appendix C: Optical characterization Appendix D: Characterization of acoustic resonances Appendix E: Characterization of bidirectional transduction Appendix F: Optimization of optical extraction efficiency Appendix A: Theory 1. Coupled mode theory for optical modes hybridization Using a pair of optical resonances increases the intracavity photon number for a given input optical power, resulting in an enhanced optomechanical interaction. Such an optical doublet is implemented here by evanescently coupling two micro-rings, forming a photonic molecule. Consider two bare optical modes with resonance frequencies ωl and ωr that correspond to the left and right micro-rings, respectively. The two modes couple with a rate J, which yields the Hamiltonian [1] and the equations of motion With Laplace transform, they can be rewritten in frequency domain as 2. Transducer Hamiltonian and input-output relations In terms of bare micro-ring modes, the transducer Hamiltonian is given by Note that the piezo-coupled acoustic mode interacts with only one of the micro-rings. To compute quantities directly related to the experiments, we rewrite the Hamiltonian in terms of the supermodes (Appendix A 1) as Finally, by defining effective optomechanical coupling rates and going into a rotating frame defined by the operator we have in the interaction picture. The time evolution of the bosonic modes can be computed using the Heisenberg-Langevin equations given by We can move to the frequency domain by using the Fourier transform along with the properties We then have 3. Conversion efficiency and added noise For the following analysis, we consider the triply resonant configuration where ω+ −ω− = ωm and the optical pump is on resonance with one of the optical supermodes. First, we consider the anti-Stokes configuration where ∆− = 0 and ∆+ = −ωm. From Eq. A24, we have the input-output relation The equations of motion is given by 4. Estimation of correlated microwave-optical pair generation rates Equations A40 and A43 suggest that entangled pairs of microwave and optical photons can be generated in the Stokes configuration since it gives rise to an effective two-mode squeezing Hamiltonian [3–5]. In order to verify that the HBAR transducer can generate entangled pairs of microwave and optical photons, we compute the on-chip pair generation rate, expected to be equal to the output photon flux from the lower frequency optical mode as in standard spontaneous parametric down-conversion (SPDC) scheme. Integrating over the transduction bandwidth, we have In practice, the pump laser should be filtered for the optical output to be dominated by heralding photons, and other losses from the measurement setup can further reduce the effective rate. For η oc = 7.9×10−5 , κ− = 2π×300 MHz and κm = 2π × 10 MHz, this would corresponds to an on-chip pair generation rate of 190 Hz. Losses in the measurement chain will have to be accounted for to estimate the count rate at the detector. In order to measure entanglement between the microwave and optical fields, the on-chip rate must be higher than the thermal decoherence rate of the acoustic mode κmnth,m(ωm), where the thermal occupancy nth,m(ωm) is given by the Bose-Einstein distribution. For ωm = 2π×3.5 GHz and κm = 2π×10 MHz, the decoherence rate at 800 mK is 43 MHz and 0.5 Hz at 10 mK. Therefore, the transducer needs to be operated in the mixing chamber of the dilution refrigerator, with a pulsed pump to reduce heat load. The total rate of optical heralding is hence gated by the pump duty cycle.

Bidirectional Microwave-optical Transduction Based on Integration: Appendix A: Theory

This paper is available on arxiv under CC 4.0 license. Authors: (1) Terence Blésin, Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL) & Center of Quantum Science and Engineering (EPFL); (2) Wil Kao, Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL) & Center of Quantum Science and Engineering (EPFL); (3) Anat Siddharth, Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL) & Center of Quantum Science and Engineering (EPFL); (4) Alaina Attanasio, OxideMEMS lab, Purdue University; (5) Hao Tian, OxideMEMS lab, Purdue University; (6) Sunil A. Bhave, OxideMEMS lab, Purdue University; (7) Tobias J. Kippenberg, Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL) & Center of Quantum Science and Engineering (EPFL). Table of Links Introduction Results A. Physics and design B. Device characterization C. Bidirectional microwave-optical transduction D. Pulsed transduction Discussion Acknowledgments Appendix A: Theory Appendix B: Fabrication process flow Appendix C: Optical characterization Appendix D: Characterization of acoustic resonances Appendix E: Characterization of bidirectional transduction Appendix F: Optimization of optical extraction efficiency III. DISCUSSION Non-classically correlated microwave-optical photon pairs can be generated through spontaneous parametric down-conversion in our transducer. These correlated photon pairs constitute a key ingredient toward entangling distant quantum processors via the Duan-LukinCirac-Zoller protocol [4, 45]. With the current device parameters, the pair generation rate on chip amounts to 190 Hz, which is well above the thermal decoherence rate for 3.5 GHz at 10 mK as explained in Appendix A 4. However, losses in the measurement setup specific to such an experiment, as well as the gating of the optical pump required to alleviate the effective heat load, are expected to limit further the final heralding rate. Quasi-free-standing structures, such as 1D OMCs, do not readily thermalize and are thus more susceptible to heating effects. Even though our transducer also utilizes a suspended acoustic resonator, it may be feasible to operate at a higher duty cycle than what is presented in Fig. 4. It has been shown that a buffer gas environment can facilitate thermalization of a 1D OMC, at the cost of increased damping of the mechanical breathing mode [46]. On the contrary, the HBAR mode of interest here should be relatively insensitive to such viscous damping, as the acoustic wave propagates predominantly along the longitudinal direction inside the cladding. Therefore, a sample cell affixed to the mixing chamber flange and filled with buffer superfluid helium—an inviscid fluid that is both an excellent thermal conductor and electrical insulator—could potentially improve the heralding rate without hampering the conversion efficiency [47]. The present design is also suited for tasks beyond quantum state transfer. The transducer can be a key component of photonic interconnects for superconducting qubits [7, 8], where laser lights routed through optical fibers are used to encode microwave signals directly inside the dilution refrigerator during qubit readout. It may be challenging for traveling-wave EOMs to attain the requisite half-wave voltage to be competitive in noise performance against conventional all-electrical readout scheme utilizing high-electron-mobility transistor amplifiers [8]. Our triply resonant approach affords a path towards a scalable optically controlled cryogenic waveform generator for both qubit readout and control. The multimode nature of the transducer is particularly suited for frequency-multiplexed dispersive readout. Transduction leveraging multiple HBAR modes is already demonstrated in Fig. 3e. One can additionally utilize line-type instead of point-type dimer coupling for the photonic molecule, which gives rise to a dispersion in the supermode splitting [48]. In combination with the multitude of acoustic overtones, a single transducer can therefore support several spectrally distinguishable triply resonant systems that serve as qubit multiplex channels. Finally, since the transducer requires no superconducting element to function, it may be pertinent for applications in classical microwave photonics. Optimization of design and fabrication should engender further improvement on device performance. The conversion efficiency, proportional to microwave extraction efficiency (Eq. 2), can be improved by replacing AlN with scandium-doped AlN [49], which features a piezoelectric coefficient d33 about five times larger than AlN [50, 51] while preserving CMOS compatibility. There is likewise additional upside on the photonics (Appendix C 1). Bending radiation loss can be significantly reduced by increasing the micro-ring radius r. In particular, intrinsic quality factor exceeding 107 has been demonstrated with an r approximately ten times larger using the same fabrication process [52]. It may be anticipated that the efficiency gain here may be chiefly compensated by the reduction in optomechanical coupling rate g0 ∼ 1/ √ r. Nevertheless, by thinning the waveguide to 200 nm that approaches half of the acoustic wavelength, g0 is expected to remain unchanged. As in the thick-core waveguide fabricated using the photonic Damascene process, such a thin-core waveguide on a subtractive manufacturing platform is expected to exhibit negligible bending loss [53]. Assuming critical coupling conditions (Appendix F), we therefore expect another 1.5- time gain in η tot. Finally, optical insertion loss can be nearly eliminated by employing a spot-size converter to facilitate mode-matching with lensed fiber [54–56]. Combining these improvements, our transducer could achieve a total efficiency η tot = 6 × 10−3 . In conclusion, we have designed, fabricated, and characterized a compact piezo-optomechanical microwaveoptical transducer that integrates wafer-scale, CMOScompatible HBAR and Si3N4 photonic technologies. Free of any superconducting components, this triply resonant transducer attains a bidirectional off-chip photon number conversion efficiency of 1.6 × 10−5 and a bandwidth of 25 MHz, with an input pump power of 21 dBm at room temperature. Multimode transduction leveraging distinct HBAR modes have been demonstrated, suggesting prospects for designing frequency-multiplexed photonic interconnects for superconducting qubits. Realistic design and fabrication improvements may even allow access to experiments in the quantum regime.

Bidirectional Microwave-optical Transduction Based on Integration: Discussion

Navigating the Future: Enhancing Bitcoin's Scalability and Sustainability Introduction to Bitcoin's Scalability and Environmental Challenges Bitcoin, the first and most well-known cryptocurrency, has revolutionized the financial world since its inception in 2009. Offering a decentralized, secure, and transparent transaction mechanism, Bitcoin has paved the way for the development of numerous other cryptocurrencies and blockchain projects. However, its journey has not been without challenges. Among the most significant hurdles are scalability and environmental sustainability. The core technology of Bitcoin, the Proof-of-Work (PoW) blockchain, demands extensive computational power, leading to high energy consumption and slow transaction processing times. These limitations have sparked intense debate within the crypto community and hindered Bitcoin's broader adoption, particularly in decentralized applications and social media platforms. The Layer-2 Revolution: A Scalable and Sustainable Solution To address these challenges, the blockchain community has turned to innovative solutions known as Layer-2 protocols. These protocols operate on top of the existing blockchain (Layer-1), aiming to enhance scalability without compromising security or decentralization. Social Network: Pioneering Bitcoin's Layer-2 Staking Protocol One of the most notable advancements in this space is the of the Social Network, a decentralized Bitcoin Layer-2 staking protocol. By launching its testnet, Social Network has introduced a to improving Bitcoin's scalability and environmental footprint. The protocol leverages recent technological upgrades and partnerships to provide a scalable, cost-efficient, and less energy-intensive solution. development groundbreaking approach Collaborations and Innovations A key to Social Network's success is its with industry leaders such as ChainSafe, Halborn Security, Threefold, BloxRoute, and LaunchNodes. These partnerships aim to create a secure and efficient BTC staking platform that supports decentralized social networks, leveraging the security and trustlessness of the Bitcoin blockchain. collaboration Beyond Social Network: The Broader Landscape of Layer-2 Solutions Layer-2 solutions are not limited to staking protocols. Other technologies, such as Rootstock and Stacks, extend Bitcoin's functionality through smart contracts and decentralized applications (dApps), further enhancing the network's scalability and interoperability with Ethereum. These introduce new functionalities to the Bitcoin ecosystem, improving transaction speeds and offering new opportunities for blockchain applications. developments The Path Forward: Envisioning a Greener, More Connected Digital Future The unveiling of Layer-2 protocols, such as the Social Network, heralds an era of transformation for the Bitcoin network, emphasizing not just technological advancement but a commitment to ecological responsibility. These innovations signal a pivotal shift towards creating a Bitcoin ecosystem that is both scalable and environmentally conscious. The significance of these developments extends beyond the immediate community to hint at a future where blockchain technology is integral to a sustainable global digital economy. Bridging Technology and Sustainability Layer-2 solutions like Social Network are more than just technical feats; they are a testament to the blockchain community's resolve to foster a digital realm that prioritizes sustainability alongside scalability. This evolution is critical for the wider acceptance and integration of Bitcoin into decentralized applications, paving the way for a future where blockchain's potential is fully unleashed without sacrificing our planet's health. Catalyzing Transformation Across the Digital Landscape The ripple effect of Layer-2 advancements stretches far beyond the confines of the Bitcoin network. By addressing the pressing issues of scalability and environmental impact, these technologies open the door to an array of possibilities for decentralized platforms and applications. The emergence of these solutions could revolutionize how we interact with digital and financial systems, making them more accessible, efficient, and, importantly, sustainable. A Collaborative Journey Towards Innovation The path to realizing the full potential of blockchain technology is a collaborative endeavor, requiring the collective effort of developers, researchers, and industry visionaries. It is through this synergy that the community can navigate the complex web of challenges that lie ahead, driving forward innovations that balance technological advancement with environmental stewardship. Pioneering a Sustainable Digital Financial Ecosystem The transition towards Layer-2 solutions marks a critical step in Bitcoin's evolution, offering a blueprint for overcoming its inherent challenges. By enhancing the network's scalability and minimizing its ecological footprint, the blockchain community is laying the groundwork for a digital financial ecosystem that is inclusive, efficient, and, above all, sustainable. This journey is laden with both opportunities and obstacles, yet the promise of innovation and collaboration lights the way towards a brighter, greener future. The advancements in Layer-2 technologies are not just reshaping the Bitcoin network; they are redefining the boundaries of blockchain's role in a sustainable digital economy. As we stand on the brink of this new era, the collective endeavor of the blockchain community will undoubtedly propel us towards a future where digital innovation and environmental sustainability go hand in hand, heralding an age of digital finance that is as green as it is global. Don’t forget to like and share the story! This author is an independent contributor publishing via our brand-as-author program. Be it through direct compensation, media partnerships, or networking, the author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure:

Social Network Leads the Charge in Bitcoin's Layer-2 Evolution: A Greener Future Awaits

সোশ্যাল নেটওয়ার্ক বিটকয়েনের লেয়ার-২ বিবর্তনে দায়িত্ব পালন করে: একটি সবুজ ভবিষ্যত অপেক্ষা করছে

Soziales Netzwerk ist führend in der Layer-2-Entwicklung von Bitcoin: Eine grünere Zukunft erwartet Sie

La red social lidera la evolución de la capa 2 de Bitcoin: le espera un futuro más verde

Le réseau social mène la charge dans l'évolution de la couche 2 de Bitcoin : un avenir plus vert vous attend

सोशल नेटवर्क बिटकॉइन के लेयर-2 विकास में अग्रणी भूमिका निभाता है: एक हरित भविष्य की प्रतीक्षा है

ソーシャルネットワークがビットコインのレイヤー2進化の先頭に立つ: より環境に優しい未来が待っている

소셜 네트워크는 비트코인의 레이어 2 진화를 주도합니다: 보다 친환경적인 미래가 기다리고 있습니다

A rede social lidera a evolução da camada 2 do Bitcoin: um futuro mais verde o aguarda

Социальная сеть лидирует в эволюции Биткойна второго уровня: нас ждет более экологичное будущее

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Do you find yourself exhausted from wrestling with intricate data for hours on end? Are you yearning for AI that comprehends beyond mere words? Google's Gemini AI emerges as a transformative force, revolutionizing the landscape of AI model development and integration. Upon completion, in various sizes and functionalities, allowing you to select the ideal match for your requirements, whether tackling extensive projects or concentrated assignments. This guarantees that organizations can opt for the model that perfectly aligns with their objectives, be it for expansive applications or specific tasks. Google will present Gemini AI What exactly is Google Gemini AI? Google Gemini AI is an advanced platform harnessing deep learning algorithms to produce remarkably lifelike and inventive results. It propels AI models forward, enhancing their flexibility and efficiency through continuous learning from fresh data. Diverse iterations Offered in – Google Gemini AI accommodates the distinct requirements of individuals and businesses. Whether it's optimizing processes or conducting advanced data analysis, Gemini ensures there's a suitable version tailored to your needs. three variations – Ultra, Pro, and Nano The Gemini AI Model Central to Google's generative AI platform is the Gemini AI model. Utilizing cutting-edge deep learning algorithms, it assimilates extensive datasets to produce authentic outputs. With its adaptability, the model can excel across diverse domains such as natural language processing (NLP), image generation, text composition, music creation, and beyond. Key Features Simplified: Human-like Conversational Proficiency: Gemini demonstrates remarkable conversational abilities akin to humans, . ideal for chatbots and virtual assistants It provides an immersive, seamless, and organic conversational experience. Redefining benchmarks for human-like interactions within digital environments. Image understanding and interpretation: Gemini deciphers image content, responds to inquiries, and produces contextual text. It is exceptionally suited for image search and captioning, establishing pioneering benchmarks in AI. This amplifies user satisfaction and broadens the horizons of image-centric applications. Prolific code generation: Gemini excels in generating high-quality code across different programming languages. It is vital for optimizing coding workflows, guaranteeing both efficiency and precision. This innovation revolutionizes developers' approaches to software development. Data analytics expertise: Empowers users in the realms of data analytics and business intelligence. Critical for making data-driven decisions, unlocking the full potential of data. Serves as a catalyst for driving transformative advancements in analytics. Developer empowerment: Empowers developers to innovate by creating advanced AI applications and APIs. Nurtures a vibrant ecosystem for collaborative development of AI-driven solutions. Improves accessibility, fostering creativity and innovation. Real-time language translation: Gemini demonstrates excellence in , promoting global communication. real-time language translation It enriches user experiences by overcoming language barriers. A versatile tool catering to diverse communication requirements. Emotion recognition: Incorporates emotion recognition, elevating interaction sophistication. Applications span from enhancing user experience to sentiment analysis. Contributes to nuanced and responsive interactions between users and AI. Customizable AI applications: Provides developers with flexibility, enabling customization to address specific industry requirements. Adaptable across diverse sectors including healthcare, finance, and creative fields. Positions Gemini as a dynamic force across various professional domains. Continuous learning and adaptation: Gemini's continuous learning dynamically adapts based on user interactions. It learns from experience, ensuring relevance and ongoing advancement. Embodies a dynamic and adaptive nature, showcasing forefront AI capabilities. Multimodal focus: Gemini emphasizes , highlighting tools and API integrations. multimodal capabilities It aims to foster broader collaboration and drive future development in the AI landscape. Striving to enhance versatility through a multimodal approach. Tools and API integration: Gemini provides effortless integration of tools and APIs, ensuring a versatile AI experience. It prioritizes collaborative environments by facilitating seamless integration processes. Enhances the overall user experience through accessible and interconnected tools. Versatility for future developments: Gemini remains adaptable to evolving technologies, ensuring continuous relevance and effectiveness. It prioritizes versatility to accommodate forthcoming advancements in the AI field. Committed to staying at the forefront of technology for sustained innovation. Discover the practical applications of Gemini AI: Facilitates the generation of text and images directly within applications such as Google Docs and Sheets. Duet AI: Aids in crafting compelling and clear writing for various purposes including essays, proposals, and more. Help Me Write: Enhances AI-powered search capabilities for quicker and simpler information retrieval. Smarter Search: Google ensures responsible development by prioritizing safety and unbiased AI through rigorous testing and expert collaboration. Safety Measures: Advantages of AI models within Gemini: a. Improved Decision Making: Empowers businesses with rapid and precise data analysis, facilitating confident decision-making. b. Creative Content Generation: Enables the development of engaging and unique content across various industries. c. Personalization: Customizes responses according to user interactions, thereby enhancing the overall user experience. d. Automation: Streamlines tasks, enabling businesses to concentrate on high-value activities and innovation. Simplified Generative AI Integration: Google Gemini AI transforms AI models and through advanced machine learning algorithms. This allows for the creation of highly realistic and imaginative outputs, unlocking new potentials for businesses across diverse industries. Positioned at the forefront, Google Gemini AI is shaping the future of AI models and generative AI integration. generative AI integration Industry-wise Impact of Gemini: Banking and Finance: Google Gemini optimizes risk management, fraud detection, and customer service through predictive capabilities, enabling accurate financial forecasts. Manufacturing: Gemini enhances predictive maintenance, quality control, and supply chain optimization, leading to increased efficiency and productivity in the manufacturing sector. Retail: In the retail industry, Gemini transforms the shopping experience by offering personalized recommendations, efficient inventory management, and enhanced customer engagement strategies. Healthcare: Gemini plays a crucial role in healthcare by aiding diagnostics, drug discovery, and personalized medicine, accelerating research efforts and improving patient outcomes. Oil and Gas: In the oil and gas sector, Gemini optimizes operations by predicting equipment failures, improving safety protocols, and enhancing exploration strategies, resulting in cost savings and sustainability improvements. , Google Gemini AI represents a major advancement in artificial intelligence, providing a distinctive solution to intricate data dilemmas. It transcends mere word analysis, providing profound comprehension and valuable insights. With its unmatched generative AI capabilities, Gemini AI transforms AI model development and integration, heralding a future defined by innovation, effectiveness, and boundless opportunities. For customized insights tailored to your business needs, reach out to our team of AI experts. In conclusion Also seen here.

Gemini AI by Google: Characteristics, Applications, and Industrial Influence

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