HeraldAPI

heraldapi

Authors:
(1) Timothy R. McIntosh;
(2) Teo Susnjak;
(3) Tong Liu;
(4) Paul Watters;
(5) Malka N. Halgamuge. Table of Links Abstract and Introduction Background: Evolution of Generative AI The Current Generative AI Research Taxonomy Innovative Horizon of MOE Speculated Capabilities of Q* Projected Capabilities of AGI Impact Analysis on Generative AI Research Taxonomy Emergent Research Priorities in Generative AI Practical Implications and Limitations of Generative AI Technologies Impact of Generative AI on Preprints Across Disciplines Conclusions, Disclaimer, and References V. SPECULATED CAPABILITIES OF Q* In the burgeoning realm of AI, the anticipated Q* project stands as a beacon of potential breakthroughs, heralding advancements that could redefine the landscape of AI capabilities (Fig. 5). A. Enhanced General Intelligence Q*’s development in the arena of general intelligence represents a paradigm shift from specialized to holistic AI, indicating a broadening of the model’s cognitive abilities akin to human intelligence. This advanced form of general intelligence involves integrating diverse neural network architectures and machine learning techniques, enabling the AI to process and synthesize multifaceted information seamlessly. The universal adapter approach, mirroring models like T0, could endow Q* with the capability to rapidly assimilate knowledge from various domains. This method allows Q* to learn adaptable module plugins, enhancing its ability to tackle new data types while preserving existing skills, leading to an AI model that combines narrow specializations into a comprehensive, adaptive, and versatile reasoning system. The corresponding quasi-mathematical formulation can be expressed as: Such advancements in AI suggest the emergence of an intelligence that not only parallels but potentially exceeds human cognitive flexibility, with far-reaching implications in facilitating cross-disciplinary innovations and complex problem-solving. The speculated capabilities of Q* bring forth complex ethical implications and governance challenges. As AI systems approach higher levels of autonomy and decision-making, it is crucial to establish robust ethical frameworks and governance structures to ensure responsible and transparent AI development. This involves mitigating potential risks associated with advanced AI capabilities, emphasizing the need for comprehensive and dynamic ethical guidelines that evolve in tandem with AI advancements. B. Advanced Self-Learning and Exploration In the realm of advanced AI development, Q* is anticipated to represent a significant evolution in self-learning and exploration capabilities. It is speculated to utilize sophisticated Policy Neural Networks (NNs), similar to those in AlphaGo, but with substantial enhancements to handle the complexities of language and reasoning tasks. These networks are expected to employ advanced reinforcement learning techniques like Proximal Policy Optimization (PPO), which stabilizes policy updates and improves sample efficiency, a crucial factor in autonomous learning. The integration of these NNs with cutting-edge search algorithms, potentially including novel iterations of Tree or Graph of Thought, is predicted to enable Q* to autonomously navigate and assimilate complex information. This approach might be augmented with graph neural networks to bolster meta-learning capacities, allowing Q* to rapidly adapt to new tasks and environments while retaining previously acquired knowledge. The corresponding quasi-mathematical formulation can be represented as: ASLE(Q∗) = RL(P NN, SA) × GNN Where: • ASLE: “Advanced Self-Learning and Exploration” • RL: to reinforcement learning algorithms, particularly Proximal Policy Optimization (PPO). • PNN: Policy Neural Networks, adapted for language and reasoning tasks. • SA: sophisticated search algorithms, like Tree or Graph of Thought. • GNN: the incorporation of Graph Neural Networks for meta-learning. • ×: the cross-functional enhancement of RL with GNN. Such capabilities indicate a model not limited to understanding existing data but equipped to actively seek and synthesize new knowledge, effectively adapting to evolving scenarios without the need for frequent retraining. This signifies a leap beyond current AI models, embedding a level of autonomy and efficiency previously unattained. C. Superior Human-Level Understanding Q*’s aspiration to achieve superior human-level understanding is speculated to hinge on an advanced integration of multiple neural networks, including a Value Neural Network (VNN), paralleling the evaluative components found in systems like AlphaGo. This network would extend beyond assessing accuracy and relevance in language and reasoning processes, delving into the subtleties of human communication. The model’s deep comprehension capabilities may be enhanced by advanced natural language processing algorithms and techniques, such as those found in transformer architectures like DeBERTa. These algorithms would empower Q* to interpret not just the text but also the nuanced socio-emotional aspects such as intent, emotion, and underlying meanings. Incorporating sentiment analysis and natural language inference, Q* could navigate layers of socio-emotional insights, including empathy, sarcasm, and attitude. The corresponding quasi-mathematical formulation can be expressed as: Where: • SHLU: “Superior Human-Level Understanding”. • VNN: the Value Neural Network, similar to evaluative components in systems like AlphaGo. • NLP: a set of advanced NLP algorithms. • ⊕: the combination of VNN evaluation with NLP algorithms. • alg: individual algorithms within the NLP set. This level of understanding, surpassing current language models, would position Q* to excel in empathetic, context aware interactions, thus enabling a new echelon of personalization and user engagement in AI applications. D. Advanced Common Sense Reasoning Q*’s anticipated development in advanced common sense reasoning is predicted to integrate sophisticated logic and decision-making algorithms, potentially combining elements of symbolic AI and probabilistic reasoning. This integration aims to endow Q* with an intuitive grasp of everyday logic and an understanding akin to human common sense, thus bridging a significant gap between artificial and natural intelligence. Enhancements in Q*’s reasoning abilities might involve graphstructured world knowledge, incorporating physics and social engines similar to those in models like CogSKR. This approach, grounded in physical reality, is expected to capture and interpret the everyday logic often absent in contemporary AI systems. By leveraging large-scale knowledge bases and semantic networks, Q* could effectively navigate and respond to complex social and practical scenarios, aligning its inferences and decisions more closely with human experiences and expectations. The corresponding quasi-mathematical formulation can be represented as: Where: • ACSR: “Advanced Common Sense Reasoning”. • LogicAI and ProbAI: symbolic AI and probabilistic reasoning components, respectively. • WorldK: the integration of graph-structured world knowledge. • ⊙: the integrated operation of these elements for common sense reasoning. E. Extensive Real-World Knowledge Integration edge is speculated to involve the use of advanced formal verification systems, which would provide a robust basis for validating its logical and factual reasoning. This method, when coupled with sophisticated neural network architectures and dynamic learning algorithms, would enable Q* to engage deeply with the complexities of the real world, transcending conventional AI limitations. Additionally, Q* might employ mathematical theorem proving techniques for validation, ensuring that its reasoning and outputs are not only accurate but also ethically grounded. The incorporation of Ethics classifiers in this process further strengthens its capacity to deliver reliable and responsible understanding and interaction with real-world scenarios. The corresponding quasi-mathematical formulation can be represented as: Where: • ERWKI: “Extensive Real-World Knowledge Integration”. • F V S: Formal Verification Systems. • NN: neural network architectures. • LT P: mathematical theorem proving for logical and factual validation. • EC: the incorporation of Ethics classifiers. • ⊗: the comprehensive integration for knowledge synthesis and ethical alignment. Furthermore, the speculated capabilities of Q* have the potential to significantly reshape the job market and labor dynamics. With its advanced functionalities, Q* could automate complex tasks, leading to a shift in job requirements and the emergence of new skill demands. This necessitates a reevaluation of workforce strategies and educational paradigms, aligning them with the evolving technological landscape and ensuring that the workforce is equipped to interact with and complement these advanced AI systems. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Timothy R. McIntosh; (2) Teo Susnjak; (3) Tong Liu; (4) Paul Watters; (5) Malka N. Halgamuge. Authors: Authors: (1) Timothy R. McIntosh; (2) Teo Susnjak; (3) Tong Liu; (4) Paul Watters; (5) Malka N. Halgamuge. Table of Links Abstract and Introduction Abstract and Introduction Background: Evolution of Generative AI Background: Evolution of Generative AI The Current Generative AI Research Taxonomy The Current Generative AI Research Taxonomy Innovative Horizon of MOE Innovative Horizon of MOE Speculated Capabilities of Q* Speculated Capabilities of Q* Projected Capabilities of AGI Projected Capabilities of AGI Impact Analysis on Generative AI Research Taxonomy Impact Analysis on Generative AI Research Taxonomy Emergent Research Priorities in Generative AI Emergent Research Priorities in Generative AI Practical Implications and Limitations of Generative AI Technologies Practical Implications and Limitations of Generative AI Technologies Impact of Generative AI on Preprints Across Disciplines Impact of Generative AI on Preprints Across Disciplines Conclusions, Disclaimer, and References Conclusions, Disclaimer, and References V. SPECULATED CAPABILITIES OF Q* In the burgeoning realm of AI, the anticipated Q* project stands as a beacon of potential breakthroughs, heralding advancements that could redefine the landscape of AI capabilities (Fig. 5). A. Enhanced General Intelligence A. Enhanced General Intelligence Q*’s development in the arena of general intelligence represents a paradigm shift from specialized to holistic AI, indicating a broadening of the model’s cognitive abilities akin to human intelligence. This advanced form of general intelligence involves integrating diverse neural network architectures and machine learning techniques, enabling the AI to process and synthesize multifaceted information seamlessly. The universal adapter approach, mirroring models like T0, could endow Q* with the capability to rapidly assimilate knowledge from various domains. This method allows Q* to learn adaptable module plugins, enhancing its ability to tackle new data types while preserving existing skills, leading to an AI model that combines narrow specializations into a comprehensive, adaptive, and versatile reasoning system. The corresponding quasi-mathematical formulation can be expressed as: Such advancements in AI suggest the emergence of an intelligence that not only parallels but potentially exceeds human cognitive flexibility, with far-reaching implications in facilitating cross-disciplinary innovations and complex problem-solving. The speculated capabilities of Q* bring forth complex ethical implications and governance challenges. As AI systems approach higher levels of autonomy and decision-making, it is crucial to establish robust ethical frameworks and governance structures to ensure responsible and transparent AI development. This involves mitigating potential risks associated with advanced AI capabilities, emphasizing the need for comprehensive and dynamic ethical guidelines that evolve in tandem with AI advancements. B. Advanced Self-Learning and Exploration B. Advanced Self-Learning and Exploration In the realm of advanced AI development, Q* is anticipated to represent a significant evolution in self-learning and exploration capabilities. It is speculated to utilize sophisticated Policy Neural Networks (NNs), similar to those in AlphaGo, but with substantial enhancements to handle the complexities of language and reasoning tasks. These networks are expected to employ advanced reinforcement learning techniques like Proximal Policy Optimization (PPO), which stabilizes policy updates and improves sample efficiency, a crucial factor in autonomous learning. The integration of these NNs with cutting-edge search algorithms, potentially including novel iterations of Tree or Graph of Thought, is predicted to enable Q* to autonomously navigate and assimilate complex information. This approach might be augmented with graph neural networks to bolster meta-learning capacities, allowing Q* to rapidly adapt to new tasks and environments while retaining previously acquired knowledge. The corresponding quasi-mathematical formulation can be represented as: ASLE(Q∗) = RL(P NN, SA) × GNN Where: • ASLE : “Advanced Self-Learning and Exploration” ASLE • RL : to reinforcement learning algorithms, particularly Proximal Policy Optimization (PPO). RL • PNN : Policy Neural Networks, adapted for language and reasoning tasks. • PNN • SA : sophisticated search algorithms, like Tree or Graph of Thought. • SA • GNN : the incorporation of Graph Neural Networks for meta-learning. • GNN • ×: the cross-functional enhancement of RL with GNN. Such capabilities indicate a model not limited to understanding existing data but equipped to actively seek and synthesize new knowledge, effectively adapting to evolving scenarios without the need for frequent retraining. This signifies a leap beyond current AI models, embedding a level of autonomy and efficiency previously unattained. C. Superior Human-Level Understanding C. Superior Human-Level Understanding Q*’s aspiration to achieve superior human-level understanding is speculated to hinge on an advanced integration of multiple neural networks, including a Value Neural Network (VNN), paralleling the evaluative components found in systems like AlphaGo. This network would extend beyond assessing accuracy and relevance in language and reasoning processes, delving into the subtleties of human communication. The model’s deep comprehension capabilities may be enhanced by advanced natural language processing algorithms and techniques, such as those found in transformer architectures like DeBERTa. These algorithms would empower Q* to interpret not just the text but also the nuanced socio-emotional aspects such as intent, emotion, and underlying meanings. Incorporating sentiment analysis and natural language inference, Q* could navigate layers of socio-emotional insights, including empathy, sarcasm, and attitude. The corresponding quasi-mathematical formulation can be expressed as: Where: • SHLU : “Superior Human-Level Understanding”. SHLU • VNN : the Value Neural Network, similar to evaluative components in systems like AlphaGo. VNN • NLP : a set of advanced NLP algorithms. NLP • ⊕: the combination of VNN evaluation with NLP algorithms. • alg : individual algorithms within the NLP set. alg This level of understanding, surpassing current language models, would position Q* to excel in empathetic, context aware interactions, thus enabling a new echelon of personalization and user engagement in AI applications. D. Advanced Common Sense Reasoning D. Advanced Common Sense Reasoning Q*’s anticipated development in advanced common sense reasoning is predicted to integrate sophisticated logic and decision-making algorithms, potentially combining elements of symbolic AI and probabilistic reasoning. This integration aims to endow Q* with an intuitive grasp of everyday logic and an understanding akin to human common sense, thus bridging a significant gap between artificial and natural intelligence. Enhancements in Q*’s reasoning abilities might involve graphstructured world knowledge, incorporating physics and social engines similar to those in models like CogSKR. This approach, grounded in physical reality, is expected to capture and interpret the everyday logic often absent in contemporary AI systems. By leveraging large-scale knowledge bases and semantic networks, Q* could effectively navigate and respond to complex social and practical scenarios, aligning its inferences and decisions more closely with human experiences and expectations. The corresponding quasi-mathematical formulation can be represented as: Where: • ACSR : “Advanced Common Sense Reasoning”. • ACSR • LogicAI and ProbAI : symbolic AI and probabilistic reasoning components, respectively. • LogicAI ProbAI • WorldK : the integration of graph-structured world knowledge. • WorldK • ⊙: the integrated operation of these elements for common sense reasoning. E. Extensive Real-World Knowledge Integration E. Extensive Real-World Knowledge Integration edge is speculated to involve the use of advanced formal verification systems, which would provide a robust basis for validating its logical and factual reasoning. This method, when coupled with sophisticated neural network architectures and dynamic learning algorithms, would enable Q* to engage deeply with the complexities of the real world, transcending conventional AI limitations. Additionally, Q* might employ mathematical theorem proving techniques for validation, ensuring that its reasoning and outputs are not only accurate but also ethically grounded. The incorporation of Ethics classifiers in this process further strengthens its capacity to deliver reliable and responsible understanding and interaction with real-world scenarios. The corresponding quasi-mathematical formulation can be represented as: Where: • ERWKI : “Extensive Real-World Knowledge Integration”. • ERWKI • F V S: Formal Verification Systems. • F V S: • NN : neural network architectures. • NN • LT P : mathematical theorem proving for logical and factual validation. • LT P • EC : the incorporation of Ethics classifiers. • EC • ⊗: the comprehensive integration for knowledge synthesis and ethical alignment. Furthermore, the speculated capabilities of Q* have the potential to significantly reshape the job market and labor dynamics. With its advanced functionalities, Q* could automate complex tasks, leading to a shift in job requirements and the emergence of new skill demands. This necessitates a reevaluation of workforce strategies and educational paradigms, aligning them with the evolving technological landscape and ensuring that the workforce is equipped to interact with and complement these advanced AI systems. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. available on arxiv

Surveying the Evolution and Future Trajectory of Generative AI - Speculated Capabilities of Q*

Surveying the Evolution and Future Trajectory of Generative AI - Evolution of Generative AI

IVY - The Future of Cryptocurrency Trading: Artificial Intelligence and Blockchain in Operation

আইভিওয়াই - ক্রিপ্টোকারেন্সি ট্রেডিংয়ের ভবিষ্যত: অপারেশনে কৃত্রিম বুদ্ধিমত্তা এবং ব্লকচেইন

IVY – Die Zukunft des Kryptowährungshandels: Künstliche Intelligenz und Blockchain im Einsatz

IVY - El futuro del comercio de criptomonedas: inteligencia artificial y blockchain en funcionamiento

IVY - L'avenir du trading de crypto-monnaie : l'intelligence artificielle et la blockchain en opération

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IVY - O Futuro da Negociação de Criptomoedas: Inteligência Artificial e Blockchain em Operação

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Web 3's Future: The Emergence of Decentralised Data Warehouses Blockchain and big data are often hailed as revolutionary technologies, and their potential synergy is reshaping industries globally. Initially, big data and blockchain might seem to operate independently: big data processes vast amounts of information, while blockchain maintains secure, decentralized records. However, this perspective overlooks their powerful complementarity. Blockchain's distributed ledger can enhance big data by providing verified, immutable data storage. When combined, these technologies accelerate industry transformation more effectively than either could alone. This article explores promising blockchain and big data projects in the Web3 context, focusing on how they intersect and their implications. Blockchain is an ideal partner for big data because it provides an immutable, secure ledger that ensures data integrity. While big data focuses on analyzing large data sets for insights, blockchain ensures these datasets are tamper-proof and verified. This synergy enhances data integrity and fosters new opportunities for decentralized services and applications (dApps). Innovating with the Verifiable Compute Layer One innovative project at this intersection is Space and Time, a decentralized data warehouse that validates transactions using both on-chain and off-chain data. A central feature of Space and Time's approach is the "Proof of SQL" technology, which uses zero-knowledge proofs to ensure the cryptographic security of queries. This technology allows developers to integrate verified computing into their dApps, enabling secure querying and data verification from various sources. Despite the promise of decentralized technologies like blockchain, skepticism remains. It's essential to distinguish between the broader blockchain technology and the narrower field of cryptocurrencies, which often make headlines for negative reasons, such as the failure of centralized exchanges. Blockchain technology's core principles are ownership, decentralization, and security. By decentralizing data infrastructure, blockchain ensures that users maintain control over their data and assets, aligning with the original vision of Web3. The Role of Decentralized Data Warehouses Decentralized data warehouses, such as Space and Time, propose an alternative to traditional centralized data architectures. In a decentralized network, no single entity owns all the servers, enhancing security and resilience. This model also promotes participation, as anyone can run nodes and contribute to the network. The use of open-source software on these nodes further ensures transparency and trust. Cryptographic guarantees are another crucial aspect of decentralized data warehousing. In Space and Time's case, if data is tampered with during the query process, the cryptographic proofs will fail, preventing the transmission of altered data to smart contracts. This mechanism protects data integrity and prevents manipulation. To enhance their offerings, Space and Time has formed strategic alliances within the Web3 and blockchain domains. Notable partners like Chainlink, Polygon, Mysten Labs, and Avalanche help integrate blockchain data with traditional analytics, bridging the gap between Web2 users and the blockchain, and facilitating broader adoption of decentralized technologies. The recent partnership with Microsoft and investment from M12 Ventures illustrates the growing interest of traditional tech giants in blockchain technology. This collaboration aims to merge off-chain and on-chain data analytics into a unified platform that serves both blockchain and traditional data needs. Final Thoughts on Digital Transformation with Big Data and Blockchain By combining big data and blockchain, businesses can transform their operations, particularly in the Web3 ecosystem. Decentralized data warehouses like Space and Time are at the forefront, offering secure, verifiable data solutions that enhance the capabilities of decentralized applications (dApps) and other services. As these technologies evolve, they will drive innovation and growth across various sectors, heralding a new era of decentralized data management. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Web 3's Future: The Emergence of Decentralised Data Warehouses Blockchain and big data are often hailed as revolutionary technologies, and their potential synergy is reshaping industries globally. Initially, big data and blockchain might seem to operate independently: big data processes vast amounts of information, while blockchain maintains secure, decentralized records. However, this perspective overlooks their powerful complementarity. Blockchain's distributed ledger can enhance big data by providing verified, immutable data storage. When combined, these technologies accelerate industry transformation more effectively than either could alone. This article explores promising blockchain and big data projects in the Web3 context, focusing on how they intersect and their implications. Blockchain is an ideal partner for big data because it provides an immutable, secure ledger that ensures data integrity. While big data focuses on analyzing large data sets for insights, blockchain ensures these datasets are tamper-proof and verified. This synergy enhances data integrity and fosters new opportunities for decentralized services and applications (dApps). Innovating with the Verifiable Compute Layer One innovative project at this intersection is Space and Time , a decentralized data warehouse that validates transactions using both on-chain and off-chain data. A central feature of Space and Time's approach is the "Proof of SQL" technology, which uses zero-knowledge proofs to ensure the cryptographic security of queries. This technology allows developers to integrate verified computing into their dApps, enabling secure querying and data verification from various sources. Space and Time Despite the promise of decentralized technologies like blockchain, skepticism remains. It's essential to distinguish between the broader blockchain technology and the narrower field of cryptocurrencies, which often make headlines for negative reasons, such as the failure of centralized exchanges. Blockchain technology's core principles are ownership, decentralization, and security. By decentralizing data infrastructure, blockchain ensures that users maintain control over their data and assets, aligning with the original vision of Web3. The Role of Decentralized Data Warehouses Decentralized data warehouses, such as Space and Time, propose an alternative to traditional centralized data architectures. In a decentralized network, no single entity owns all the servers, enhancing security and resilience. This model also promotes participation, as anyone can run nodes and contribute to the network. The use of open-source software on these nodes further ensures transparency and trust. Cryptographic guarantees are another crucial aspect of decentralized data warehousing. In Space and Time 's case, if data is tampered with during the query process, the cryptographic proofs will fail, preventing the transmission of altered data to smart contracts. This mechanism protects data integrity and prevents manipulation. Space and Time To enhance their offerings, Space and Time has formed strategic alliances within the Web3 and blockchain domains. Notable partners like Chainlink, Polygon, Mysten Labs, and Avalanche help integrate blockchain data with traditional analytics, bridging the gap between Web2 users and the blockchain, and facilitating broader adoption of decentralized technologies. The recent partnership with Microsoft and investment from M12 Ventures illustrates the growing interest of traditional tech giants in blockchain technology. This collaboration aims to merge off-chain and on-chain data analytics into a unified platform that serves both blockchain and traditional data needs. Final Thoughts on Digital Transformation with Big Data and Blockchain By combining big data and blockchain, businesses can transform their operations, particularly in the Web3 ecosystem. Decentralized data warehouses like Space and Time are at the forefront, offering secure, verifiable data solutions that enhance the capabilities of decentralized applications (dApps) and other services. As these technologies evolve, they will drive innovation and growth across various sectors, heralding a new era of decentralized data management. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: business blogging program business blogging program

Why Decentralized Data Warehouses Are the Future of Web3 Technology

কেন বিকেন্দ্রীভূত ডেটা গুদামগুলি Web3 প্রযুক্তির ভবিষ্যত

Warum dezentrale Data Warehouses die Zukunft der Web3-Technologie sind

Por qué los almacenes de datos descentralizados son el futuro de la tecnología Web3

Pourquoi les entrepôts de données décentralisés sont l'avenir de la technologie Web3

विकेंद्रीकृत डेटा वेयरहाउस वेब3 प्रौद्योगिकी का भविष्य क्यों हैं

分散型データ ウェアハウスが Web3 テクノロジーの未来である理由

분산형 데이터 웨어하우스가 Web3 기술의 미래인 이유

Por que os data warehouses descentralizados são o futuro da tecnologia Web3

Почему децентрализованные хранилища данных — будущее технологии Web3

Merkezi Olmayan Veri Ambarları Neden Web3 Teknolojisinin Geleceğidir?

Tại sao kho dữ liệu phi tập trung là tương lai của công nghệ Web3

为什么去中心化数据仓库是 Web3 技术的未来

GAINS Associates has announced the launch of GainsPad, heralding a new era in Web3 fundraising. With a legacy spanning six years, a fully transparent team, and an unrivaled track record exemplified by the success of Gains Private, the inaugural launchpad, the new platform is poised to redefine the landscape of Initial Decentralized Offerings (IDOs). As the team embarks on this journey, they invite individuals worldwide to join them in shaping the future of crypto fundraising. GainsPad presents a monumental opportunity, magnitudes larger than anything witnessed before in the IDO market. The team is not just offering a platform; they are fostering a community where participants can partake in life-changing deals, embodying the spirit of empowerment and inclusivity. What Are The Key Highlights? GainsPad introduces a novel approach to IDOs, focusing on accessibility and fairness while maintaining the highest standards of transparency and security. The platform boasts several key components designed to enhance the investor experience. Firstly, there is the ‘Refund Policy,’ which helps safeguard investors against unforeseen circumstances. The policy ensures peace of mind during the token launch phase. Next, there is the ‘Tiered System.’ With varying tiers tailored to different levels of engagement, participants can maximize their investment potential and increase their chances of securing allocations. Finally, there is the ‘Whitelist Process.’ Through engaging educational content and quizzes, the team streamlines the whitelisting process, ensuring that only knowledgeable and committed community members gain access to exclusive opportunities. Alongside maintaining strong foundational principles, the team’s approach entails a dual strategy: seizing opportunities within burgeoning trends ahead of their peak and investing in emerging narratives and ecosystems preemptively. They also possess the capability to transparently raise funds on-chain by leveraging a consortium of angel investors under one unified entity. Moreover, GAINS offers comprehensive support to various projects, including in-house marketing initiatives and facilitation of introductions to the platform’s expansive network encompassing over 250 Key Opinion Leaders (KOLs), different launchpads, venture capitalists (VCs), marketing agencies, news platforms, exchanges, and market makers (MMs). Strategic Partnerships GainsPad is proud to collaborate with industry-leading partners such as ETHDubai, Polygon, BNB Chain, and Trust Wallet. These partnerships underscore the team’s commitment to excellence and their dedication to providing unparalleled value to the community. GAINS also boasts distinguished advisors such as Walid Benothman, known for his role in driving growth at 1INCH, Evan Luthra, a prominent Indian influencer, and Jonathan Faye, whose extensive experience includes a decade at the $125B AUM ODDO BHF, where he transitioned from a legal background to lead Open Innovation initiatives. Additionally, $GAINS has recently secured a listing on a premier centralized exchange. Key Figures: Evan Luthra Evan Luthra, a renowned figure within the cryptocurrency and tech world, has been named twice by Forbes as part of their esteemed 30 under 30 list. His expertise spans across multiple domains, from his prolific work in tech entrepreneurship to his passion for nonfungible tokens. Evan has been recognised by prestigious platforms like Forbes and Entrepreneur Magazine, thereby highlighting his impact as both an angel investor as well as a tech influencer. He is also a tech visionary with an impressive track record of creating more than 30 applications by the age of 17, in addition to fueling the growth of over 500 Web3 companies. As a tech visionary, Evan’s influence extends to a market cap exceeding a whopping $100 billion. Evans has also been actively involved in the crypto space for years, successfully managing a cryptocurrency investment bank, as well as investing in projects such as Ripple and Hashgraph. Evan has also shared his knowledge globally through platforms like TEDx alongside various institutions, educating audiences on topics ranging from cryptocurrencies and blockchain to the future of decentralized autonomous organizations. Walid Benothman Walid's Leadership roles in companies like 1inch and Curv demonstrate his expertise in driving growth and strategy operations. Walid was also an early employee at Ripple. His strategic initiatives at both Curv and Ripple played a significant role in advancing the mainstream adoption of blockchain technology and cryptocurrencies, thereby culminating in the acquisition of Curv by PayPal. Furthermore, from management consulting to creating the inaugural digitally managed semi-professional football club in Paris, Walid’s entrepreneurial spirit and foresight have also led to groundbreaking ventures at a consistent level.\ Jonathan Faye Jonathan has over ten years of relevant experience within the world of finance, as proven by his work at the aforementioned ODDO BHF, a French-German investment bank with €150b AUM. Although he began as a lawyer, Jonathan nevertheless played an important part in M&A, regulatory affairs, and private equity as well as VC. Eventually progressing to Global Head of Open Innovation, Jonathan concentrated on shaping corporate VC strategy while simultaneously pioneering blockchain technology for a modern age, supporting ventures such as Coinhouse and Ledger. Presently, Jonathan is in charge of JonVenture, his own advisory firm, providing key guidance to early-stage startups by utilizing his passion and experience for both angel investment and Web3. Investment Opportunity As a decentralized community VC established six years ago, GAINS operates a launchpad for private sales. Notably, the platform has deployed over $35 million for more than 300 projects, featuring notable successes such as Bloktopia (x1000), Quant Network (x500), Avalanche (x300), and Hashgraph (x50). GAINS CEO, Alexandre Raffin, stated that “At GAINS, we are driven by a relentless pursuit of excellence and a steadfast commitment to our community. With the launch of GainsPad, we are democratizing access to groundbreaking projects and revolutionizing the way individuals participate in Web3 fundraising.” To participate in GainsPad's IDOs, individuals are required to stake a minimum of 1,000 $GAINS, with additional tickets awarded for every 250 $GAINS staked. The aforementioned tiered system offers varying levels of bonuses and incentives, ensuring that each participant is rewarded according to their level of engagement and commitment. About GAINS GAINS Associates is the world's first decentralized venture capital firm, providing individuals holding $GAINS with access to the most promising crypto projects. With over six years of experience and a history of ultra-high return deals, GAINS is shaping the future of DeFi. GAINS stands for ‘Group Action Is Never Small’, symbolizing the collaborative spirit that is the essence of blockchain and decentralization. For individuals seeking to invest in the next generation of crypto unicorns, GainsPad represents the ultimate destination. GAINS remains steadfast in its mission to remove entry barriers to investing and empower individuals to seize opportunities in the crypto space. With a proven track record and a commitment to excellence, there is no better time than now to get started with GAINS as they have a fully doxxed team, an impressive track record for their first platform, Gains Private, that was launched back in 2021, and the fact that the team is finally ready to tap into the IDO market, which is a 10-20x bigger opportunity with potentially massive returns up for grabs. Visit the official website for further information and join GAINS’ Telegram channel to engage with the team members who are dedicated to assisting customers every step of the way. For regular updates, check out the X, LinkedIn, Discord, Facebook, Instagram, Medium, TikTok, and YouTube channels as well. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. GAINS Associates has announced the launch of GainsPad, heralding a new era in Web3 fundraising. With a legacy spanning six years, a fully transparent team, and an unrivaled track record exemplified by the success of Gains Private, the inaugural launchpad, the new platform is poised to redefine the landscape of Initial Decentralized Offerings (IDOs). GAINS Associates As the team embarks on this journey, they invite individuals worldwide to join them in shaping the future of crypto fundraising. GainsPad presents a monumental opportunity, magnitudes larger than anything witnessed before in the IDO market. The team is not just offering a platform; they are fostering a community where participants can partake in life-changing deals, embodying the spirit of empowerment and inclusivity. What Are The Key Highlights? GainsPad introduces a novel approach to IDOs, focusing on accessibility and fairness while maintaining the highest standards of transparency and security. The platform boasts several key components designed to enhance the investor experience. Firstly, there is the ‘ Refund Policy ,’ which helps safeguard investors against unforeseen circumstances. The policy ensures peace of mind during the token launch phase. Next, there is the ‘ Tiered System .’ With varying tiers tailored to different levels of engagement, participants can maximize their investment potential and increase their chances of securing allocations. Refund Policy Refund Policy Tiered System Tiered System Finally, there is the ‘Whitelist Process.’ Through engaging educational content and quizzes, the team streamlines the whitelisting process, ensuring that only knowledgeable and committed community members gain access to exclusive opportunities. Alongside maintaining strong foundational principles, the team’s approach entails a dual strategy: seizing opportunities within burgeoning trends ahead of their peak and investing in emerging narratives and ecosystems preemptively. They also possess the capability to transparently raise funds on-chain by leveraging a consortium of angel investors under one unified entity. Moreover, GAINS offers comprehensive support to various projects, including in-house marketing initiatives and facilitation of introductions to the platform’s expansive network encompassing over 250 Key Opinion Leaders (KOLs), different launchpads, venture capitalists (VCs), marketing agencies, news platforms, exchanges, and market makers (MMs). Strategic Partnerships GainsPad is proud to collaborate with industry-leading partners such as ETHDubai, Polygon, BNB Chain, and Trust Wallet. These partnerships underscore the team’s commitment to excellence and their dedication to providing unparalleled value to the community. GAINS also boasts distinguished advisors such as Walid Benothman, known for his role in driving growth at 1INCH, Evan Luthra, a prominent Indian influencer, and Jonathan Faye, whose extensive experience includes a decade at the $125B AUM ODDO BHF, where he transitioned from a legal background to lead Open Innovation initiatives. Additionally, $GAINS has recently secured a listing on a premier centralized exchange. Key Figures: Evan Luthra Evan Luthra Evan Luthra Evan Luthra, a renowned figure within the cryptocurrency and tech world, has been named twice by Forbes as part of their esteemed 30 under 30 list. His expertise spans across multiple domains, from his prolific work in tech entrepreneurship to his passion for nonfungible tokens. Evan has been recognised by prestigious platforms like Forbes and Entrepreneur Magazine, thereby highlighting his impact as both an angel investor as well as a tech influencer. He is also a tech visionary with an impressive track record of creating more than 30 applications by the age of 17, in addition to fueling the growth of over 500 Web3 companies. As a tech visionary, Evan’s influence extends to a market cap exceeding a whopping $100 billion. Evans has also been actively involved in the crypto space for years, successfully managing a cryptocurrency investment bank, as well as investing in projects such as Ripple and Hashgraph. Evan has also shared his knowledge globally through platforms like TEDx alongside various institutions, educating audiences on topics ranging from cryptocurrencies and blockchain to the future of decentralized autonomous organizations. Walid Benothman Walid Benothman Walid Benothman Walid's Leadership roles in companies like 1inch and Curv demonstrate his expertise in driving growth and strategy operations. Walid was also an early employee at Ripple. His strategic initiatives at both Curv and Ripple played a significant role in advancing the mainstream adoption of blockchain technology and cryptocurrencies, thereby culminating in the acquisition of Curv by PayPal. Furthermore, from management consulting to creating the inaugural digitally managed semi-professional football club in Paris, Walid’s entrepreneurial spirit and foresight have also led to groundbreaking ventures at a consistent level.\ Jonathan Faye Jonathan Faye Jonathan Faye Jonathan has over ten years of relevant experience within the world of finance, as proven by his work at the aforementioned ODDO BHF, a French-German investment bank with €150b AUM. Although he began as a lawyer, Jonathan nevertheless played an important part in M&A, regulatory affairs, and private equity as well as VC. Eventually progressing to Global Head of Open Innovation, Jonathan concentrated on shaping corporate VC strategy while simultaneously pioneering blockchain technology for a modern age, supporting ventures such as Coinhouse and Ledger. Presently, Jonathan is in charge of JonVenture, his own advisory firm, providing key guidance to early-stage startups by utilizing his passion and experience for both angel investment and Web3. Investment Opportunity As a decentralized community VC established six years ago, GAINS operates a launchpad for private sales. Notably, the platform has deployed over $35 million for more than 300 projects, featuring notable successes such as Bloktopia (x1000), Quant Network (x500), Avalanche (x300), and Hashgraph (x50). GAINS CEO, Alexandre Raffin, stated that “At GAINS, we are driven by a relentless pursuit of excellence and a steadfast commitment to our community. With the launch of GainsPad, we are democratizing access to groundbreaking projects and revolutionizing the way individuals participate in Web3 fundraising.” GAINS CEO, Alexandre Raffin, stated that “At GAINS, we are driven by a relentless pursuit of excellence and a steadfast commitment to our community. With the launch of GainsPad, we are democratizing access to groundbreaking projects and revolutionizing the way individuals participate in Web3 fundraising.” To participate in GainsPad's IDOs, individuals are required to stake a minimum of 1,000 $GAINS, with additional tickets awarded for every 250 $GAINS staked. The aforementioned tiered system offers varying levels of bonuses and incentives, ensuring that each participant is rewarded according to their level of engagement and commitment. About GAINS GAINS Associates is the world's first decentralized venture capital firm, providing individuals holding $GAINS with access to the most promising crypto projects. With over six years of experience and a history of ultra-high return deals, GAINS is shaping the future of DeFi. GAINS stands for ‘Group Action Is Never Small’, symbolizing the collaborative spirit that is the essence of blockchain and decentralization. For individuals seeking to invest in the next generation of crypto unicorns, GainsPad represents the ultimate destination. GAINS remains steadfast in its mission to remove entry barriers to investing and empower individuals to seize opportunities in the crypto space. With a proven track record and a commitment to excellence, there is no better time than now to get started with GAINS as they have a fully doxxed team, an impressive track record for their first platform, Gains Private, that was launched back in 2021, and the fact that the team is finally ready to tap into the IDO market, which is a 10-20x bigger opportunity with potentially massive returns up for grabs. Visit the official website for further information and join GAINS’ Telegram channel to engage with the team members who are dedicated to assisting customers every step of the way. For regular updates, check out the X , LinkedIn , Discord , Facebook , Instagram , Medium , TikTok , and YouTube channels as well. official website official website Telegram channel Telegram channel X X LinkedIn LinkedIn Discord Discord Facebook Facebook Instagram Instagram Medium Medium TikTok TikTok YouTube YouTube This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

GainsPad Finally Launches And Ushers In A New Era Of Web3 Fundraising

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

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