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Platon Aims To Become The Public Infrastructute Of Privacy Computing To Open Up Business Prospects For The Crypto Space

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In the Information Age, Data Becomes a New Factor of Productivity

In economics, factors of production, also known as production inputs, are essential resources for the production of goods and services. In his epochal work “Principles of Economics”, famous British economist Marshall put forward the theory of four factors of production — land, labor, capital and entrepreneurial talent. National income (NI) is the reward of four factors, and that is, national income (NI) = labor wage (w) + land rent (r) + capital interest (i) + operating profit (π). This “four-in-one formula” sums up the core of western economic production theory and distribution theory, which has been widely accepted for more than a century.

However, factors of production are a historical category that evolves with the development of economy and society. The birth and development of the Internet has changed the mode of production, life and consumption, and it promoted many important and profound changes, and played an increasingly important role in economic development, social life and national governance. The full exploitation and effective utilization of all kinds of data has raised production efficiency to an unprecedented level. Data has become an indispensable factor in economic activities and a new generation of production factors after land, energy, population and food.

Table – Production Factors at Different Stages

Privacy Brings Data Dilemma and MPC Realizes Data Collaborative Computing

Nowadays, people have already extended their social activities to the network space. Every day, people contribute data continuously to the network space. A large amount of data is collected, calculated, analyzed, excavated and this goes beyond the original data level of information value.

However, because of the plain text nature of the data, the owner loses ownership of the data once the data is granted to others for use. Therefore, to ensure the privacy protection of data, a huge amount of data managed by enterprises cannot be exchanged and co-calculated with the data held by other enterprises, which is why a large number of data cannot generate value.

The emergence of privacy computing ends this dilemma. Yao Qizhi, a member of the Chinese National Academy of Sciences, proposed secure multi-party computing (MPC) in 1982. In a nutshell, participants have to enter information to calculate an agreed function. In addition to the accuracy of the calculations, they must also protect the privacy of each participant’s input data. Specifically, there are now n participants, each of whom, xi, is aware of the xi they entered, who together calculate a pre-agreed function f (x1 ,…, xn) = y. In this way, all participants will get the final y value, but they will not be able to know the specific data entered by the other participants. Thus, with local data not aggregated and privacy not divulged, each party can still achieve a common desired result by performing the operations of the given logic.

Privacy computing opens up huge business prospects for the digital world (Crypto Space)

Bitcoin’s pioneering combination of virtual currencies and peer-to-peer payment systems open the door to decentralization. With the introduction of intelligent contract function, Ethernet has greatly improved the scalability of blockchain, and all kinds of applications can be deployed on blockchain. Because of these characteristics, early public blockchain networks such as Bitcoin and Ethernet have been developed, attracting a large number of blockchain and encryption enthusiasts in the world, and many traditional institutions have been entering the area of blockchain, exploring various possibilities of decentralization.

The combination of privacy computing and blockchain is expected to put data ownership back in the hands of data producers, meaning that vast amounts of data can be counted without affecting privacy and ownership, so that the owners can profit and data can burst out with greater value. Therefore, the blockchain project based on privacy calculation is naturally suitable for the commercial practice in the fields of financial, medical, scientific research, government affairs, and logistics and so on.

“Operator” PlatON network for blockchain data

PlatON, the representative project of the combination of privacy computing and blockchain currently, is based on the basic attribute of blockchain and is supported by privacy computing network, and provides the next generation Internet infrastructure protocol with the core characteristics of “computing interoperation”. PlatON’s vision is to become the public infrastructure for privacy computing of the next generation, publishing privacy computing algorithms through contracts, and implementing MPC protocols with data providers and computing nodes for privacy protection requirements, so as to realize cooperative computing of data. PlatON, designed to price data flows, is all about computing and data, which is the most fundamental part of future human production. PlatON can achieve large-scale application landing and commercial scenario implementation:

For example:

I. Build a wider credit collection network. The public chain that provides private computing can provide user with customizable computing logic template and multi-party access mode, and in the case that the access party’s data does not need to be collected and shared, only the credit inquiry results are output to the demander, and the original data can be encrypted and stored in the blockchain system to meet all kinds of audit needs.

II. Supply chain financial infrastructure. The public chain of private computing is based on blockchain technology and cryptography algorithm, which can provide a platform solution for supply chain finance to digitally identify, process and transfer assets. Construct a new financial financing model of supply chain in which the information of the upstream and downstream enterprises can be shared symmetrically, the credit value of the core enterprises can be transmitted, the business tickets can be split and the risk can be controlled, and provide convenient data traceability for the supervision and enhance the service efficiency of the industry as a whole.

To build the public infrastructure for the digital age, PlatON continuously optimizes technology, iterates the underlying infrastructure, and breaks through the “impossible triangle” in terms of performance. “Impossible triangle” means that it is difficult to achieve both a good “decentralization” and a good “security” of the system in a blockchain and a high “transaction processing performance” at the same time. The most well-known blockchain projects in the industry are Bitcoin, Ethernet, and EOS. At present, using native Token transfer performance test method and EOS under the same testing conditions, PlatON has achieved a comprehensive performance leader in the quasi-real environment, and will continue to focus on the data field and accelerate the construction of data market.

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CLOOMS Unveils TameDex, a Palworld Breeding Calculator and Companion Tool for Creature-Taming Games

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Boulder, CO 80302, United States, 24th Sep 2026 – TameDex, a companion tool for creature-taming and monster-collecting games, has been unveiled by its maker, CLOOMS. The tool is designed to give players a fast, clean reference for the games they play, starting with creature databases, breeding and capture calculators, tier lists, and guides for Palworld.

TameDex is available at tamedex.com. The tool centres on a Palworld breeding calculator, letting players work out breeding combinations and outcomes without cross-referencing multiple spreadsheets or community wikis. Alongside the breeding calculator, TameDex includes a creature database, capture calculators, tier lists, and guides covering different aspects of the game.

The tool addresses a common problem for players of creature-taming and monster-collecting games: working out breeding, capture, and stat information that is otherwise spread across wikis, spreadsheets, and community forums. TameDex is intended to bring this information into one place, starting with Palworld, with additional games planned for future coverage. The company said the tool is built to load quickly and present information clearly, rather than replicate the format of a general wiki.

Palworld’s breeding system involves combining creatures to produce offspring with particular traits, a process that can otherwise require cross-referencing multiple community-maintained charts to work out. TameDex’s breeding calculator is built specifically around this system, allowing a player to check likely outcomes for a given combination directly within the tool rather than piecing the information together from separate sources.

TameDex does not require an account or a download to use. A player can open the site directly in a browser, look up the creatures or breeding combinations they need, and move on, rather than navigating a large general-purpose wiki built for many different games at once. The company said this focused approach is central to how the tool is meant to be used during active play, particularly when a quick answer is needed mid-session rather than after searching through a longer article.

“Breeding calculators for games like Palworld usually live in scattered spreadsheets or forum posts, and TameDex is built to bring that information into one fast, clean tool,” said Jack Shi, Founder and CEO of CLOOMS. “The goal is to give players something they can check quickly while they are actually playing, rather than digging through several different sites.”

TameDex’s Palworld coverage includes a creature database, breeding and capture calculators, and tier lists intended to help players plan their approach to the game. The company said additional creature-taming and monster-collecting games are planned for future coverage, following the same format established for Palworld. TameDex is a product of CLOOMS, an independent digital-product company that builds practical web tools, joining a portfolio of tools the company has built around solving one specific task well rather than functioning as a broader platform.

“Looking ahead, the plan for TameDex is to add coverage for additional creature-taming games while keeping the tool fast and simple to use,” Shi said. “CLOOMS expects TameDex to grow alongside the games it covers, rather than staying limited to a single title.”

TameDex is a companion tool for creature-taming and monster-collecting games available at tamedex.com, built by CLOOMS, an independent digital-product company based in Boulder, Colorado. The tool currently covers Palworld with creature databases, breeding and capture calculators, tier lists, and guides, with additional games planned. The launch reflects the company’s continued work building practical, single-purpose tools for specific communities and use cases.

For additional information about palworld breeding calculator options and related industry developments, contact TameDex at 1942 Broadway St., STE 314C, Boulder, CO 80302, United States. Inquiries regarding the company’s products and services can be directed by email at support@tamedex.com.

Media Contact

Organization: TameDex

Contact Person: Jack Shi

Website: https://tamedex.com/

Email: Send Email

Address: 1942 Broadway St.

Address 2: STE 314C

City: Boulder

State: CO 80302

Country: United States

Release id: 49442

The post CLOOMS Unveils TameDex, a Palworld Breeding Calculator and Companion Tool for Creature-Taming Games 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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Thomas Berkley of Nexus Acquisition AI Introduces Smarter Client Acquisition Strategies for Service Businesses

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United States, 24th Sep 2026 – Thomas Berkley, founder of Nexus Acquisition AI, is expanding the company’s focus on AI-powered client acquisition systems designed to help service businesses modernize their marketing, lead generation, and customer acquisition processes. The U.S.-focused company combines artificial intelligence with structured marketing systems to help service businesses develop more organized approaches to attracting and engaging prospective customers.

As artificial intelligence continues to become a larger part of business operations, service companies are exploring ways to incorporate AI into marketing and customer acquisition. Nexus Acquisition AI is addressing this shift by developing systems that connect AI technology with practical acquisition processes, giving service businesses a framework for managing activities associated with finding and engaging potential clients.

Thomas Berkley founded Nexus Acquisition AI around the concept of using technology to create more structured client acquisition processes. Rather than treating artificial intelligence as a standalone solution, the company focuses on integrating AI into marketing and lead generation workflows that can support the broader customer acquisition journey.

“Nexus Acquisition AI is focused on helping service businesses understand where artificial intelligence can fit into their acquisition processes,” said Thomas Berkley. “By bringing AI together with marketing and lead generation systems, businesses can create more structured processes for managing opportunities and connecting with prospective customers.”

Building More Structured Marketing Processes

For many service businesses, marketing involves multiple activities, including reaching prospective customers, communicating value, managing inquiries, and following up with leads. Nexus Acquisition AI focuses on connecting these activities through technology-supported systems.

The company’s Nexus Acquisition marketing approach centers on using AI and modern marketing processes to support customer acquisition. Instead of relying on disconnected activities, the company develops systems intended to bring different parts of the acquisition process together.

This approach can help service businesses establish clearer workflows around their marketing activities. AI can be incorporated into appropriate areas of those workflows to support repetitive processes and help businesses manage information and interactions more efficiently.

Nexus Acquisition AI’s focus is particularly relevant to service businesses that depend on a consistent flow of prospective customers. By developing structured acquisition systems, the company aims to provide businesses with a framework that can be adapted to their specific services, audiences, and growth objectives.

Strengthening Lead Generation Through AI

Lead generation is another central component of Nexus Acquisition AI’s approach. Service businesses need effective ways to identify and engage potential customers, and AI technology is creating new opportunities for businesses to organize these activities.

Through its Nexus Acquisition lead generation systems, the company focuses on creating processes that can support the identification, engagement, and management of potential leads. AI and automation can be incorporated into selected stages of these processes, helping businesses build more consistent workflows around prospect acquisition.

The objective is not simply to introduce another technology into a company’s operations. Nexus Acquisition AI instead focuses on connecting technology with established business goals so that AI supports the overall acquisition process.

For service businesses, this can mean creating systems that bring marketing activity and lead management into a more coordinated workflow. Nexus Acquisition AI works around the principle that acquisition systems should reflect the individual needs and operating models of the businesses using them.

Developing AI Growth Systems for Service Businesses

The company is also developing Nexus Acquisition AI growth systems that combine artificial intelligence, marketing, and lead generation into broader client acquisition frameworks.

AI-powered systems can provide businesses with new ways to approach repetitive marketing tasks, customer communication, and lead management. Nexus Acquisition AI focuses on applying these capabilities to practical acquisition challenges faced by service businesses in the U.S.

Under Thomas Berkley’s leadership, Nexus Acquisition AI continues to build its services around the intersection of artificial intelligence and customer acquisition. The company’s work reflects the increasing use of AI as a business tool while maintaining a focus on marketing processes and customer relationships.

The company’s approach is designed for service businesses seeking to modernize their acquisition infrastructure and establish systems that can support ongoing marketing and lead generation activities. By combining technology with structured processes, Nexus Acquisition AI aims to help businesses create a more organized foundation for their customer acquisition efforts.

As AI technology continues to evolve, Nexus Acquisition AI plans to remain focused on practical applications that can support service businesses. Through its AI-powered acquisition systems, the company is building its offering around marketing, lead generation, and technology-driven growth processes.

For more information visit https://nexusacquisitionai.com/ .

About Nexus Acquisition AI

Nexus Acquisition AI is a U.S.-focused company founded by Thomas Berkley that develops AI-powered marketing, lead generation, and client acquisition systems for service businesses. The company combines artificial intelligence with structured acquisition processes to help businesses modernize their approach to attracting and engaging prospective customers.

Media Contact

Organization: Nexus Acquisition AI

Contact Person: Thomas Berkley

Website: https://nexusacquisitionai.com/

Email: Send Email

Country: United States

Release id: 49425

The post Thomas Berkley of Nexus Acquisition AI Introduces Smarter Client Acquisition Strategies for Service Businesses 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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CLOOMS Unveils Short Haircuts AI for Virtual Hairstyle Previews

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Boulder, CO 80302, United States, 24th Sep 2026 – Short Haircuts AI, an AI-powered tool that lets users preview different short haircuts on their own photo, has been unveiled by its maker, CLOOMS. The tool is designed to let a user see how a given short haircut would look on them before committing to the change at a salon.

Short Haircuts AI is available at shorthaircuts.net. A user uploads a selfie, and the tool generates previews showing that photo with a range of short haircut styles applied. The intended purpose is to let someone compare several styles before a haircut is actually done, rather than relying on a photo reference or a stylist’s description alone.

The tool addresses a common decision point for people considering a shorter haircut: whether a particular style will suit their face shape and features, a question that is otherwise difficult to answer without committing to the cut first. By generating a preview directly from a selfie, Short Haircuts AI is intended to let users evaluate multiple short haircut styles before an appointment, rather than deciding in the chair. The tool is aimed at a broad range of users rather than stylists or professionals working with dedicated editing software, and is built as a simple, low-friction web experience that does not require an account or a consultation to try.

Short Haircuts AI does not require photo-editing software or an in-person consultation to use. A user can access the tool directly through a web browser, upload a selfie, and view the resulting style previews without additional setup. The company said this straightforward workflow reflects its broader approach to building single-purpose tools that are simple to use and focused on solving one specific task. A range of short haircut styles is made available for preview, allowing a user to move between options and compare how each one appears on their own face before booking an appointment.

“A lot of people hesitate before getting a short haircut because they are not sure how it will look on them, and a cut is not something that can be undone right away,” said Jack Shi, Founder and CEO of CLOOMS. “Short Haircuts AI removes some of that uncertainty by showing someone what a style actually looks like on their own photo before they decide anything.”

Short Haircuts AI is a product of CLOOMS, an independent digital-product company that builds practical AI tools and web utilities. It joins a portfolio of tools the company has built around the same principle, each addressing a specific, everyday task rather than functioning as part of a broader platform. The launch of Short Haircuts AI extends that approach to another visual, appearance-based decision, following a similar tool the company built for previewing beard and goatee styles.

“Looking ahead, the plan for Short Haircuts AI is to keep expanding the range of styles available for preview and to keep the tool simple to use as more people discover it,” Shi said. “CLOOMS expects Short Haircuts AI to remain a steady part of the company’s product lineup rather than a one-time release.”

Short Haircuts AI is an AI-powered short haircut preview tool available at shorthaircuts.net, built by CLOOMS, an independent digital-product company based in Boulder, Colorado. The launch reflects the company’s continued work developing single-purpose tools intended to help people make everyday decisions with more confidence.

For additional information about short haircut simulator options and related industry developments, contact Short Haircuts AI at 1942 Broadway St., STE 314C, Boulder, CO 80302, United States. Inquiries regarding the company’s products and services can be directed by email at support@shorthaircuts.net.

Media Contact

Organization: Short Haircuts AI

Contact Person: Jack Shi

Website: https://shorthaircuts.net/

Email: Send Email

Address: 1942 Broadway St.

Address 2: STE 314C

City: Boulder

State: CO 80302

Country: United States

Release id: 49441

The post CLOOMS Unveils Short Haircuts AI for Virtual Hairstyle Previews 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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