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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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5 years ago

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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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Alex Jacob

Alex Jacob is a literature author. He was born in Chicago. Alex passion is writing news articles. He writes number of articles and published it.

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DataShyre Launches Advanced GDPR Software to Help Organizations Simplify Privacy Compliance

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21 minutes ago

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July 23, 2026

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United States, 23rd Jul 2026 – DataShyre today announced the continued expansion of its AI-powered GDPR Software, giving organizations a modern platform to automate privacy compliance, reduce regulatory risk, and replace manual processes with intelligent workflows.

As privacy regulations continue to evolve across Europe and around the world, businesses are under increasing pressure to demonstrate accountability while managing consent, data subject requests, data inventories, and risk assessments. DataShyre’s GDPR Software provides a unified platform designed to help privacy, legal, IT, and marketing teams work together more efficiently while maintaining audit-ready compliance.

Unlike traditional compliance tools that require multiple disconnected products, DataShyre combines consent management, automated Data Subject Request (DSR) fulfillment, data mapping, privacy assessments, AI governance, and reporting into a single platform. Organizations gain real-time visibility into their privacy program while reducing administrative overhead and improving operational efficiency.

“Our goal is to make privacy compliance practical instead of overwhelming,” said David Ewing, Founder and CEO of DataShyre. “Many organizations spend countless hours managing spreadsheets, responding to requests manually, and trying to keep up with changing regulations. Our GDPR Software helps automate those processes so teams can focus on innovation while maintaining confidence in their compliance program.”

The platform is built to support organizations of all sizes, from growing businesses implementing their first privacy program to global enterprises managing complex regulatory requirements across multiple jurisdictions. With customizable workflows, API integrations, automated reporting, and continuous monitoring, DataShyre enables companies to scale their privacy operations without dramatically increasing headcount.

Key capabilities include:

  • Automated GDPR compliance workflows
  • Consent management and preference centers
  • Data Subject Request (DSR) automation
  • Data discovery and mapping
  • Privacy Impact Assessments (PIAs) and risk management
  • AI governance and privacy monitoring
  • Audit-ready reporting and documentation
  • Integration with hundreds of business systems

As organizations increasingly rely on AI, cloud platforms, and digital marketing technologies, maintaining visibility into personal data has become more challenging than ever. DataShyre addresses this challenge by helping businesses continuously monitor their privacy posture while adapting to changing regulatory requirements.

Businesses evaluating privacy platforms can learn more about choosing the right GDPR Software by visiting:

https://datashyre.com/best-gdpr-software/ 

The guide provides a comprehensive overview of the features organizations should consider when evaluating GDPR Software, including automation, consent management, scalability, integration capabilities, security, reporting, and long-term compliance support.

DataShyre’s platform is designed to help organizations move beyond checkbox compliance by creating sustainable privacy operations that improve efficiency, strengthen customer trust, and support long-term business growth.

To learn more about DataShyre and its complete suite of privacy automation solutions, visit https://datashyre.com .   

About DataShyre

DataShyre is an AI-powered privacy automation platform that helps organizations simplify compliance through intelligent consent management, DSR automation, data mapping, privacy assessments, AI governance, and continuous monitoring. The company enables businesses to modernize their privacy operations while reducing manual effort and maintaining compliance with GDPR and other global privacy regulations.

Media Contact

Organization: DataShyre

Contact Person: David Ewing

Website: https://datashyre.com/best-gdpr-software/

Email: Send Email

Country:United States

Release id:47441

The post DataShyre Launches Advanced GDPR Software to Help Organizations Simplify Privacy Compliance 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

RecoveryOhio Launches RecoveryRachel, an AI Behavioral Health Navigator

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21 minutes ago

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July 23, 2026

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Statewide platform powered by Psyrin’s AI technology lets Ohioans find mental health and addiction treatment through voice and chat conversations, now live at RecoveryRachelOhio.org

United States, 23rd Jul 2026 – Psyrin, a technology company building responsible AI for behavioral health, is delighted to announce the launch of RecoveryRachel, a first-of-its-kind, AI-powered behavioral health treatment finder that helps Ohioans quickly and confidently identify the right mental health and substance use services for their needs. The platform is now live at RecoveryRachelOhio.org. Launched by RecoveryOhio and developed in partnership with Psyrin and RingMD, RecoveryRachel replaces the guesswork of traditional directories with guided, conversational support.

Accessing behavioral health care in Ohio has historically meant navigating a fragmented system of hundreds of providers, programs, and eligibility requirements, often during moments of stress or crisis. Traditional directories assume people already know what to search for, placing the burden of interpreting complex information on the individual and leading to delays and missed connections to care. Nationally, untreated mental illness alone costs an estimated $282 billion each year, and more than 10.7 million emergency department visits annually are tied to mental health and substance use disorders, many of them avoidable when people can reach the right care sooner.

RecoveryRachel changes that. Instead of relying on keyword search or manual filtering, residents can simply describe their situation in plain language, by voice or chat, and be guided to appropriate care. The platform pairs a continuously updated provider database with an intelligent conversational assistant, “Rachel,” that helps users move from uncertainty to actionable next steps in minutes. No account or login is required, and the experience is confidential. To the state’s knowledge, it is among the first implementations of voice-enabled AI navigation in a public-sector behavioral health context.

“Bringing AI into the world of recovery carries real responsibility, and we treated that as a design requirement, not an afterthought,” said Dr. Julianna Olah, co-founder and Chief Technology Officer at Psyrin. “RecoveryRachel was built with layered guardrails, human-centered safeguards, and rigorous testing so that every interaction is safe, accurate, and grounded in verified provider information. People often reach out in their most vulnerable moments, and they deserve technology that is careful, transparent, and worthy of their trust.”

“Access is often the difference between someone getting help today and falling through the cracks,” said Dr. Raheem Chaudhry, co-founder and Chief Operating Officer at Psyrin. “By letting Ohioans describe what they need in their own words, RecoveryRachel removes the burden of navigating a complex system alone. This launch advances our mission to make quality behavioral health care easier to find and reach for everyone, and it shows what’s possible when states use AI to deliver real, measurable improvements in access.”

RecoveryRachel was delivered through multi-agency collaboration led by RecoveryOhio, alongside community stakeholders and partners across the state. Psyrin and RingMD helped develop the underlying technology, with Psyrin fueling the underlying AI infrastructure that powers Rachel’s voice and chat experience. With the platform now live, Psyrin remains committed to continuing to develop and improve RecoveryRachel, expanding its capabilities and making behavioral health care even easier for Ohioans to find and reach.

Media Contact

Organization: Psyrin, Inc.

Contact Person: Raheem Chaudhry

Website: https://psyrin.com/

Email: Send Email

Address:Floor 7, 650 California St, San Francisco, CA 94108

Country:United States

Release id:47438

The post RecoveryOhio Launches RecoveryRachel, an AI Behavioral Health Navigator 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

TYF’s New Infinite Welding Machine for Precast Concrete Rebar Cuts Manual Labor by 90 Percent

Published

21 minutes ago

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July 23, 2026

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New servo-driven automated mesh welder eliminates fixed-grid limits and secondary bending; deployed across Middle East, Southeast Asia, and U.S. infrastructure markets

Tianjin, China, 23rd Jul 2026 – Tianjin Yinfeng Intelligent Manufacturing Co., Ltd. (TYF), a China-based supplier of automated steel rebar processing equipment for precast concrete and infrastructure projects, has released its latest servo-driven infinite flexible welding mesh machine. The equipment, which meets CE, ISO 9001, and ASTM A1064 standards, is designed to resolve the fixed-grid limitations and labor-intensive secondary bending processes that have long challenged PC component manufacturers in North America, Europe, the Middle East, and Southeast Asia. Verified plant data shows the machine reduces on-site rebar binding labor from 20 workers to just 2 operators, while supporting over 400 mesh specification changes per day without production stoppage. Global order acceptance begins immediately, with mass production and international container shipping scheduled from August 10, 2026.

Core Technological Breakthroughs & Product Advantages

Built on the company’s 16 years of steel processing equipment R&D and manufacturing experience, the infinite flexible welding mesh machine resolves key production bottlenecks faced by prefabricated component factories through verifiable technical upgrades:
1.Infinite Longitudinal Bar Spacing Adjustable Technology : Different from traditional rebar mesh welding machines with fixed modulus grid limitations that fail to meet non-standard precast slab mesh demands for overseas projects, TYF’s infinite flexible welding mesh machine supports full free spacing adjustment, covering 80mm, 90mm and all non-50-multiple custom specifications. The equipment realizes zero shutdown and zero waiting during parameter switching, supporting over 400 types of steel mesh production per day. It effectively solves the personalized customization pain points of prefabricated component factories in European, Middle Eastern and Southeast Asian infrastructure projects, helping overseas enterprises save factory space and production line investment costs.

2.Integrated welding, bending and opening forming: The all-in-one structure completes mesh forming, edge bending and reserved window hole cutting in one automated workflow, removing secondary manual shaping processes that previously occupied extra labor and workshop space. Finished mesh diagonal error is controlled within ±5 mm to meet international construction acceptance standards.

3.Minimal labor operation design: The full servo-driven production line only requires two on-site operators to replace traditional 20-person manual binding teams. Annual labor expenditure reduction reaches 1.296 million RMB per production line, with total annual comprehensive operating costs capped at 194,000 RMB versus 3.66 million RMB for manual production modes.

4.Digital linkage with factory management systems: The machine connects seamlessly with Yinfeng’s self-developed AI drawing recognition system and MES production platform. CAD files are automatically parsed to generate production parameters and material coding, removing manual data entry and cutting drawing processing labor hours by more than 70 percent.

Global Compliance & Certifications

The machine is engineered to meet EU Machinery Directive (CE), ISO 9001 quality management, and ASTM A1064/A1064M structural rebar standards, ensuring seamless qualification for public infrastructure tenders in Europe, GCC states, ASEAN, and North America. Full lot-specific inspection certificates and material test reports are automatically generated per batch, satisfying both local construction authority audits and cross-border customs clearance requirements under HS Code 8515.80.

All equipment passes CE certification meeting technical requirements for cross-border infrastructure tender projects in Eurasian and African regions. All product inspection records and qualification documents are supplied for overseas engineering bidding and customs clearance.

Order Availability & Customized Service Support

The infinite flexible welding mesh machine accepts global custom project orders via Yinfeng’s official website and dedicated international sales team effective July 17, 2026. Standard and non-standard customized units enter mass production on August 10, 2026, with containerized export packaging arranged for all overseas shipments.

Beyond standalone welding mesh equipment, Tianjin Yinfeng provides full-spectrum tailored solutions for global clients: full intelligent rebar processing plant layout planning, digital twin cloud platform deployment, MES system docking, on-site installation and multi-language operation training, and long-term overseas remote technical after-sales support. Engineers deliver free factory layout drawings and production capacity calculation reports within 72 hours upon client demand.

Enterprise Management Quote

“The launch of our infinite flexible welding mesh machine marks a key milestone in our global intelligent construction equipment layout, targeting the fragmented multi-specification production demands of prefabricated PC factories worldwide.” Zhao Jingyu, Operation Customer Service Manager, Tianjin Yinfeng Intelligent Manufacturing Co., Ltd. stated. “Our R&D team spent multiple years optimizing servo control and resistance welding cooling structures to cut manual reliance and stabilize finished product quality, matching the rising demand for automated rebar processing in global infrastructure.”

Industry Background & Corporate Strategy

According to IMARC Group’s construction machinery research data, accelerated global prefabricated construction adoption and labor cost inflation across Europe, Southeast Asia and the Middle East drive steady demand for automated steel rebar processing machinery, with the international intelligent rebar equipment market posting a compound annual growth rate of 6.2 percent through 2030.

Tianjin Yinfeng’s new flexible welding mesh machine rollout aligns with this global market shift toward low-labor, digitally connected precast production lines. The firm’s integrated hardware and software offering combines rebar processing machinery, AI drawing recognition, MES execution software and digital twin visualization platforms, addressing end-to-end intelligent factory transformation needs for construction contractors and component manufacturers participating in cross-border Belt and Road infrastructure projects.

Future Roadmap

Moving forward, Tianjin Yinfeng Intelligent Manufacturing Co., Ltd. will maintain consistent investment in mechanical and digital technology R&D for rebar processing equipment. The company plans to launch upgraded laser welding robotic accessories compatible with the infinite flexible welding mesh machine in Q1 2027, further expanding automated welding capacity for high-end precast components.

The enterprise will also expand its global localized service network, arranging multilingual technical after-sales engineers for long-term stationing in Saudi Arabia, Uzbekistan and Southeast Asia to deliver on-site equipment maintenance and factory digital system debugging for local overseas construction clients.

Company Profile

Tianjin Yinfeng Intelligent Manufacturing Co., Ltd., founded September 6, 2010, operates under the TYF global brand as a supplier of intelligent steel rebar processing equipment and digital twin factory management systems.

The company’s 20,000 square-meter manufacturing base sits in North Jinghai Economic Development Zone, Tianjin, with a workforce of 300 staff covering mechanical R&D, international trade and global after-sales teams. It holds invention patents, utility model patents and software copyrights for rebar processing machinery, and co-authored the industry textbook Intelligent Processing Technology of Steel Reinforcement Products with the China Architecture Society. Its equipment has been deployed across landmark overseas projects including the Moscow-Saint Petersburg High-Speed Railway, Saudi NEOM New City and Argentina Santa Cruz Hydropower Station, serving more than 450 domestic and international construction clients across Europe, the Middle East, Southeast Asia and North Africa.

The corporate mission is to leverage intelligent machinery and digital technology to reduce costs, raise quality and cut manual labor for prefabricated construction, supporting the global expansion of Chinese intelligent manufacturing.
Additional corporate and product information is available at http://www.tyfmachine.com/.

Media Contact

Organization: Tianjin Yinfeng Intelligent Manufacturing Co., Ltd.

Contact Person: Tony Ding

Website: http://www.tyfmachine.com/

Email: Send Email

Contact Number: +8618522106753

Address:No.19 Central Avenue, North Zone, Jinghai Economic Development Zone, Tianjin City, China

City: Tianjin

Country:China

Release id:47416

The post TYF’s New Infinite Welding Machine for Precast Concrete Rebar Cuts Manual Labor by 90 Percent 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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