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Lumino, lightening up the world of secure multi-party computation

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New digital era, new demand of security

With the advent of the era of big data, the leakage and abuse of personal privacy data are common, which not only disturbs the normal market order, but also seriously restricts the innovation and development of the digital economy. In recent years, many countries have carried out relevant legislation of digital economy and data governance, which makes the legal requirements of personal privacy data more rigorous, and the supervision system is becoming increasingly strict. The various online scenarios led by the Covid-19 not only bring convenience to our life, but also cause a lot of security demand of data protection

Therefore, the data producers, such as government agencies, operators, platforms, are constantly raising the legal standards of storage, transmission and transaction. It has brought a problem to the data owners: how can fully utilize the data resource endowment to create business profits and social value, meanwhile ensure that the data privacy is protected in accordance with supervision provisions? The real demand behind the problem is bound to give birth to new technologies. The combination of blockchain and secure multi-party computation provides a new solution for breaking the “data island”, ensuring data security and releasing data value.

Recently, as the leader in the global blockchain industry, PlatON has started a new journey in the construction of privacy computation infrastructure, launching the secure multi-party computation ceremony—— Lumino. Lumino aims to create system parameters in a decentralized way, which could help build a real community-based, open-source blockchain ecosystem and ensure the underlying security of the main network and the reliability of future digital applications.

The “chemical reaction” of blockchain and secure multi-party computation

To understand the essence of Lumino, we need to understand the blockchain and secure multi-party computation. Blockchain is a technical solution that does not rely on a third party and a network that stores, verifies, transmits and communicates through its own distributed nodes. The core problems it solves are network decentralization, data consistency and tamper-prevent. Secure multi-party computation is to solve the problem of privacy protection among a group of mutual distrusted participants. It should ensure the independence, correctness decentralization and do not disclose the data to other participants. Secure multi-party computation was firstly proposed by professor Yao Qizhi, who is a Chinese computer scientist and the winner of Turing prize. Since 2010, the development of executable general compiler makes its concept gradually well-known.

It can be seen that both blockchain and multi-party security computation are technologies dealing with data interaction between a group of participants according to specific rules. However, blockchain is mainly used to verify the correctness of the calculation, and the purpose is to achieve the consistent recognition of the results and prevent the results from being tampered with; the purpose of secure multi-party computation (MPC) is to get specific results in the case of data confidentiality, and emphasis on privacy protection in data share situation.

When secure multi-party computation encounters blockchain, the integration has become a technology trend that attracts much attention. Due to the different traits of blockchain and multi-party security computation, they are not exclusive and can complement each other. Blockchain can improve its ability of data confidentiality by using secure multi-party computation to adapt to complex environments; while secure multi-party computation can complete redundant computation with the help of blockchain to obtain verifiable and unique results.

The combination of MPC and blockchain is ultimately to meet the more complex and changeable real needs, especially for various environments of data exchange and sharing. For example, secure multi-party computation can realize key management in the blockchain wallet, and divide the management right of assets reasonably to reduce the risk of single key loss. It can also realize the cross-domain access of EHR data. Based on personal digital identity infrastructure, hospital A could apply for data access to hospital B by obtaining the patient’s authorization, which does not need directly return the patient’s medical record data. It would meet the dual goals of diagnosis needs and privacy protection.

New practice in privacy protection——PlatON & Lumino

Secure multi-party computation is essentially a solution for data security. It is consisted of cryptographic technologies such as obfuscation circuit, secret sharing, homomorphic encryption, etc. PlatON has already realized the layout in these fileds. The key to secure multi-party computation is to use zero knowledge proof to prove that there is no leakage, which is also the key to Lumino.

Most of the existing efficient zero-knowledge proof algorithms need to create system parameters in a centralized way, so the third party who creates the parameters may forge proofs to destroy the underlying security of the main network. Lumino aims to generate the system parameters of the zero-knowledge proof through secure multi-party computation. In this process, the parameters are generated by members altogether, so they will not be obtained or tampered by a single party. This also constitutes the cornerstone of the subsequent privacy protection application. Only when the activity held safely, the subsequent decentralized application will be more secure.

This ceremony is PlatON’s latest practice in the field of privacy protection, and Lumino’s goal is to link the world’s cryptographic geeks to build a global privacy computation infrastructure. In the future community-based and open-source blockchain ecosystem, every participant is an important node, and every participation will make the underlying network more secure. Therefore, this is not only an activity, but also a collective wisdom full of ritual sense. PlatON will also take this opportunity to realize the vision of building infrastructure in the digital era, and make every effort to be the best practitioner in the field of privacy security.

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Press Release

UPDF Launches Global blossomwithupdf Campaign to Inspire Smarter Reading and Note-Taking

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UPDF, the AI-powered PDF editor by Superace, launches the global #blossomwithupdf campaign, inviting users to share short videos showing how they boost productivity with intelligent reading and note-taking. The campaign highlights real workflows, rewards creativity, and showcases UPDF’s AI-powered editing, OCR, and cross-platform tools.

Hongkong, Hongkong, Hong Kong S.A.R., 11th Feb 2026 — UPDF, the AI-powered all-in-one PDF editor developed by Superace, has officially launched its global social media campaign, #blossomwithupdf, encouraging users worldwide to showcase how they enhance productivity through intelligent digital reading and note-taking.
 

Encouraging Real-World Productivity Workflows

The #blossomwithupdf campaign invites students, professionals, researchers, and content creators to share short videos demonstrating how they use UPDF in their daily workflows. The initiative highlights real user experiences and promotes more efficient ways to manage digital documents.

Outstanding submissions may be featured across UPDF’s official platforms, providing creators with global exposure while inspiring others to improve their productivity strategies.

Rewarding Creativity and Community Engagement

Through this campaign, UPDF aims to strengthen engagement within its global user community while rewarding innovative and practical workflow demonstrations. Participants will have opportunities to receive recognition and exclusive rewards throughout the campaign period.

The campaign also provides additional value for existing UPDF subscribers, reflecting the company’s ongoing commitment to supporting loyal users.

Comprehensive AI-Powered PDF Productivity Tools

UPDF continues to redefine digital document management by combining powerful AI technology with intuitive PDF editing capabilities. The platform supports:

  • Document editing and annotation
  • File conversion across multiple formats
  • OCR technology for scanned documents
  • Batch processing and document organization
  • AI-powered summarization, translation, and interactive PDF assistance

These features enable users to streamline document workflows while improving reading efficiency and knowledge management.

Seamless Cross-Platform Accessibility

UPDF is fully compatible across Windows, macOS, iOS, and Android, providing a consistent and synchronized user experience across devices. The platform is designed to support modern multi-device workflows, allowing users to work efficiently anytime and anywhere.

Supporting Innovation in Digital Productivity

The #BlossomWithUPDF campaign reflects UPDF’s continued dedication to developing advanced yet user-friendly PDF solutions. By encouraging creativity and real-world workflow sharing, UPDF aims to help users unlock new possibilities in document productivity and knowledge organization.

About UPDF

UPDF, developed by Superace, is a leading global PDF productivity solution trusted by millions of users worldwide. The platform provides professional-grade tools for editing, annotating, converting, organizing, and securing PDF documents. With a strong focus on AI innovation and user-centered design, UPDF helps individuals and organizations streamline document workflows and improve productivity.

For more information, visit the official UPDF website or follow UPDF on YouTubeFacebookX (Twitter)Instagram, and LinkedIn for the latest updates and offers.

Media Contact

Organization: HONGKONG SUPERACE SOFTWARE TECHNOLOGY CO. , LIMITED

Contact Person: Taylor Pang

Website: https://updf.com/

Email: Send Email

Contact Number: +85213129579808

Address:FLAT A F15 GOLDFIELD IND

Address 2: BLDG 144-150 TAI LIN PAI ROAD KWAI CHUNG NT

City: Hongkong

State: Hongkong

Country:Hong Kong S.A.R.

Release id:41167

The post UPDF Launches Global blossomwithupdf Campaign to Inspire Smarter Reading and Note-Taking appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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Press Release

BNBpump.fun Launches Industry’s Lowest-Fee Memecoin Platform on BNB Chain

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New Platform Offers 90% Lower Trading Fees and Faster PancakeSwap Graduation Than Typical Market Alternatives

Boston, February 10, 2026 — BNBpump.fun today launched as a low-fee memecoin launchpad on BNB Chain, introducing a cost-first model designed for high-volume trading. The platform charges 0.1% per trade, a 90% reduction versus the ~1% fee commonly seen across comparable memecoin launchpads.

As memecoin activity on BNB Chain accelerates, BNBpump.fun enters the market with an aggressive value proposition aimed at traders who want to reduce friction costs and projects that want a faster route to decentralized exchange liquidity.

The Fee Advantage

BNBpump.fun’s 0.1% trading fee represents a sharp departure from prevailing market norms. For traders executing $10,000 in volume, the difference is clear:

  • Typical launchpad fees (0.5%–1%)$50–$100 in trading costs
  • BNBpump.fun (0.1%)$10 in trading costs
  • Estimated savings$40–$90 per $10,000 traded

For active traders moving $100,000 monthly, that’s $400–$900 retained versus common fee tiers.

“High-frequency memecoin trading shouldn’t require a 0.5% toll on every transaction,” said Zoe Reyes, a BNBpump.fun representative. “We built a platform where active traders keep more of their gains. At 0.1%, we’re bringing institutional-grade fee structures to retail memecoin markets.”

Faster Path to PancakeSwap

Beyond fees, BNBpump.fun differentiates on graduation speed. The platform graduates tokens at 10 BNB, a materially lower threshold than many bonding-curve models that typically require 20+ BNB before migrating to PancakeSwap.

This lower graduation requirement supports what the team calls “hyper meme coins” — tokens that can reach DEX listing faster, enabling earlier price discovery and community momentum.

Fair Launch Standards

Despite aggressive pricing, BNBpump.fun maintains strict fair-launch principles:

  • No pre-sales
  • No team allocations
  • No insider advantages
  • LP tokens permanently burned upon PancakeSwap graduation, making rug pulls impossible by design

“Fair-launch mechanics are what make memecoin markets credible,” added Reyes. “We’re keeping the rules traders care about — and removing the costs and delays they don’t.”

Market Context

The BNB Chain memecoin ecosystem has expanded rapidly in 2026, driven by bonding-curve launch mechanics and tight DEX integration. The ecosystem has also benefited from broader liquidity initiatives, including programs designed to support permanent liquidity.

BNBpump.fun positions itself as a pump.fun-style experience built specifically for BNB Chain—targeting both native BNB traders and cross-chain users looking for lower fees and faster token progression.

About BNBpump.fun

BNBpump.fun is a fair-launch memecoin platform built exclusively for BNB Chain, offering 0.1% trading fees and a 10 BNB graduation threshold. The platform enables anyone to create, launch, and trade meme coins with direct PancakeSwap liquidity and permanent LP burns.

 

Media Contact

Organization: BNBpump.fun

Contact Person: Zoe Reyes

Website: https://bnbpump.fun/

Email: Send Email

Country:United States

Release id:41136

The post BNBpump.fun Launches Industry’s Lowest-Fee Memecoin Platform on BNB Chain appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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Press Release

Kalshi Trading Bot Launches Advanced Automated Copy Trading Platform for Prediction Markets

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New platform enables traders to automatically mirror successful prediction market strategies with sophisticated risk management and real-time execution capabilities

United States, 11th Feb 2026 – The Kalshi Trading Bot platform was developed in response to feedback from prediction market participants who expressed interest in accessing successful trading strategies without dedicating substantial time to market research. Traditional approaches to prediction market trading often require significant expertise in both market analysis and technical implementation, creating barriers for many potential participants.

“Prediction markets have proven their value in aggregating collective intelligence and forecasting outcomes across various domains,” noted industry observers. “However, the technical complexity has limited participation from those who could benefit from these markets. Automated copy trading solutions represent an important step toward broader market accessibility.

The platform operates through a straightforward mechanism: users select experienced traders from a transparent leaderboard displaying verified performance metrics, configure their risk parameters according to personal preferences, and allow the system to automatically execute corresponding trades in their accounts. This approach maintains user control over capital while automating the execution process.

Technical Architecture and Security Features

The technical infrastructure supporting the Kalshi Trading Bot incorporates several features designed to address common concerns in automated trading systems. The platform utilizes a non-custodial architecture, meaning users maintain direct control of their Kalshi accounts and funds throughout the trading process. This design choice addresses security concerns that often arise with automated trading platforms.

Real-time synchronization capabilities ensure that trades are executed promptly when source traders take positions, minimizing slippage and maintaining the integrity of the copy trading strategy. The system monitors selected traders continuously and replicates their market positions according to user-defined parameters.

Risk management tools embedded within the platform allow users to establish position size limits, set maximum loss thresholds, and define which types of markets they wish to participate in. These controls provide safeguards against excessive exposure while maintaining the benefits of automated execution.

Platform Features and Functionality

The www.kalshitradingbot.net platform includes several components designed to support effective copy trading operations. A comprehensive leaderboard displays performance metrics for available traders, including historical returns, win rates, and trading activity patterns. This transparency enables users to make informed decisions about which traders to follow.

The system supports simultaneous copying of multiple traders, allowing users to diversify their approach by following different strategies across various market segments. Configuration options let users adjust the allocation percentages for each followed trader, creating customized portfolio compositions aligned with individual risk tolerances.

Performance tracking dashboards provide users with detailed insights into their copy trading results, including breakdowns by followed trader, market category, and time period. These analytics help users refine their selection of traders to follow and optimize their overall approach to Kalshi trade automation.

Market Context and Industry Trends

The launch of this platform occurs amid growing interest in prediction markets as tools for forecasting political outcomes, economic indicators, and various other events. Kalshi, as a regulated prediction market exchange operating in the United States, has attracted increasing participation from both retail and institutional market participants.

Copy trading mechanisms have proven successful in other financial markets, with millions of users globally utilizing similar systems in forex, cryptocurrency, and equity trading contexts. The adaptation of this approach to prediction markets represents a logical evolution, bringing proven automation concepts to an emerging market segment.

Industry analysts suggest that automated trading tools may contribute to increased liquidity in prediction markets by enabling more consistent participation from a broader range of market participants. Enhanced liquidity typically results in tighter bid-ask spreads and more efficient price discovery, potentially benefiting the overall market ecosystem.

User Experience and Accessibility

The platform emphasizes accessibility for users regardless of their technical background. The onboarding process requires only a Kalshi account connection and basic parameter configuration. No programming knowledge, API management, or technical infrastructure is necessary, lowering barriers to entry for those interested in automated Kalshi trade execution.

Mobile responsiveness ensures that users can monitor their copy trading activities across devices, with real-time notifications alerting them to significant events such as new positions opened or risk thresholds approached. This flexibility allows participants to maintain oversight of their trading operations without requiring constant manual attention.

Support resources including documentation, tutorials, and customer assistance channels help users navigate the platform effectively and understand the implications of different configuration choices. Educational materials explain key concepts in copy trading and provide guidance on evaluating trader performance metrics.

Risk Considerations and User Responsibility

While automated copy trading offers convenience and access to experienced strategies, the platform emphasizes that users retain full responsibility for their trading decisions. Past performance of followed traders does not guarantee future results, and prediction market trading inherently involves risk of capital loss.

The platform encourages users to carefully review trader performance histories, understand the markets those traders typically participate in, and configure risk parameters appropriate to their individual circumstances. Diversification across multiple traders and conservative position sizing are recommended as prudent risk management approaches.

Transparency in fees and costs allows users to understand the economic implications of using the platform. Clear disclosure of subscription pricing, transaction costs, and any other associated fees enables informed decision-making about the overall value proposition.

Future Development and Platform Evolution

The development roadmap for the platform includes planned enhancements based on user feedback and evolving market conditions. Potential additions include expanded analytics capabilities, additional risk management tools, and enhanced social features enabling interaction among platform users.

Integration with additional prediction market platforms may be explored as the ecosystem expands, potentially allowing users to implement copy trading strategies across multiple venues from a single interface. Such expansion would depend on market demand and technical feasibility considerations.

The platform also plans to introduce features supporting advanced users, such as custom strategy creation tools and more granular control over trade execution parameters. These enhancements would maintain the platform’s accessibility for newcomers while providing depth for experienced traders seeking greater customization.

Availability and Access

The platform is now accessible to users with existing Kalshi accounts. Interested parties can visit www.kalshitradingbot.net to create an account, explore the trader leaderboard, and configure their automated copy trading preferences. Multiple subscription tiers accommodate different usage levels and feature requirements.

The launch represents an entry point for those who have been observing prediction markets but hesitated to participate due to time constraints or uncertainty about strategy development. By automating the process of following successful traders, the platform reduces operational complexity while maintaining user control over risk parameters and capital allocation.

Conclusion

The introduction of automated copy trading functionality to the Kalshi prediction market ecosystem reflects broader trends toward accessibility and automation in financial markets. By combining proven copy trading concepts with the unique characteristics of prediction markets, the platform offers an alternative approach for market participation.

As prediction markets continue evolving as tools for information aggregation and forecasting, platforms that lower participation barriers while maintaining robust risk management may contribute to deeper, more liquid markets benefiting all participants. The success of this approach will ultimately be determined by user adoption patterns and the platform’s ability to deliver value to its community.

Media Contact

Organization: Kalshi Trading Bot

Contact Person: Alvis Koepp

Website: https://www.kalshitradingbot.net/

Email: Send Email

Country:United States

Release id:41239

The post Kalshi Trading Bot Launches Advanced Automated Copy Trading Platform for Prediction Markets appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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