Press Release
ADS creates the strongest PoS equity proof mechanism
In 2010, in the early days of Bitcoin’s creation, BM challenged Satoshi Nakamoto and believed that Bitcoin’s consensus mechanism must be changed and proposed improvements.
However, the arrogant Satoshi Nakamoto did not adopt it. After emphasizing the importance and necessity of Bitcoin decentralization, he responded aggressively: If you don’t believe me or don’t get it, I don’ t have time to try to convince you, sorry.
Several years later, BM founded EOS and realized his own consensus mechanism.
Since it is a rumor, let’s just listen to it. But when it comes to consensus mechanisms, there are many things to explore. With the development and evolution of technology, the current mainstream consensus is PoW, PoS and PoS variants. Which consensus is better has always been a hot topic for discussion.
As we all know, the “impossible triangle” problem has become one of the important constraints in the development of blockchain. Therefore, whoever can better solve the problem can become the most ideal consensus mechanism.
So, who is the “ideal country” of consensus?
PoW gradually deviating from the spirit of Satoshi Nakamoto
In Bitcoin mining, Satoshi Nakamoto designed PoW (Proof of Work Mechanism).
Every 10 minutes, along with the generation of new blocks, the Bitcoin network will issue a certain amount of Bitcoin and reward it to the selected bookkeeping node.
From the surface of this mechanism, PoW is a model that pays more for more work. With higher computing power and time spent, the more digital currencies you can obtain.
However, it needs to consume a lot of energy to calculate the result of the hash function during its operation, which is easy to cause a waste of computing resources, because these operations themselves are not related to the value of the blockchain itself. Moreover, the confirmation time of the block is difficult to shorten, and it is prone to fork, and it is necessary to wait for multiple confirmations.
The new blockchain must find a different hashing algorithm, otherwise it will face a computing power attack. At the same time, each time a consensus is reached, the entire network needs to participate in the calculation, and the performance efficiency is low.
In addition, with the decrease of Bitcoin, the demand for computing power is getting higher and higher. In order to accelerate the speed of acquiring Bitcoin, a new method of mining resistance in mining pools has been born. The emergence of mining pools has disrupted the balance of Bitcoin and other encrypted digital currency systems to a certain extent, and the Matthew effect has gradually emerged.
So far, the pure PoW mechanism has no SHD completeness at all, and it deviates from the original intention of Satoshi Nakamoto.
“Perfect Alternative” PoS
So PoS (Proof of Stake Mechanism), which is considered to be able to replace PoW, appeared.
The main difference between PoW and PoS is how to determine the voting rights in the blockchain consensus. In PoW, the voting power is proportional to the computing power of the node; in PoS, the voting power of the system is proportional to the proportion of equity held. Once PoS was proposed, it was favored by people.
Compared with PoW, PoS will have a great improvement in performance, but it is also limited. And limited by defects such as the issue of TOKEN and the difficulty in determining the number of accounting nodes, it still cannot be a perfect alternative to PoW.
Secondly, the PoS system requires a highly secure network to resist hacker attacks. Currently, there is no public chain with such strength. What’s more deadly is that in the PoS public chain, the block-producing rights of the blockchain can only be determined by the head player, which makes the PoS public chain a network that is essentially monopolized and dominated by giants.
From this point of view, PoS cannot be a perfect alternative to PoW, so people began to think about whether the original mechanism can be changed, including BM, which was originally taken by Satoshi Nakamoto.
Fortunately, those who still have “consensus ideals” have never stopped exploring. Among them is the original VDS development team. The APoS mechanism they proposed may be a fire of hope that ignites our consensus ideals.
APoS: the original intention of the regression algorithm
Looking back at the evolutionary law of the consensus mechanism, we found that there is no consensus mechanism that can solve the problem of SHD completeness. Can the two types of consensus be mixed so as to integrate the advantages of the two while avoiding some drawbacks?
When the VDS development team encountered a bottleneck in the VDS public chain 2.0, they were inspired by Polkadot and proposed a ring resonance proof of stake algorithm (Λ Proof of Stake, APoS), also known as the cosmic constant algorithm Λ-Dimension.
The VDS development team creatively improved and combined PoS and PoW algorithms to form a resonance APoS consensus mechanism.
On the one hand, APoS returns to the original spiritual core of Bitcoin-decentralization. On the other hand, it solves the “impossible triangle” problem based on game theory mechanism design and Nash equilibrium thinking, and achieves security, efficiency, and decentralization. Compatible, and finally constructed a “blockchain technology system that is more in line with the current economic and financial structure needs than the original Bitcoin algorithm mechanism.”
The consensus algorithm itself is beautiful, but we increasingly lose sight of its true colors.
The reliability of mathematical algorithms is based on its preconditions. The accuracy of mathematics is conditional. Every theorem has certain preconditions and assumptions, and these preconditions cannot be proved by mathematics itself but need to be established and verified through analysis of the real world. These preconditions will also be tested in the constantly changing real world.
Today, ADS based on the APoS consensus mechanism has conducted multiple internal and public testing of the code, and has made corresponding optimizations and improvements in response to the problems that have arisen. According to the official report, ADS will be global on March 1, 2021, Singapore time 17: 00 is open for registration and subscription. In the kernel period, about 15,000 internal testers in the 123 ring will open the exchange to mix and trade about 10 days after the ring is full.
About Author
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.
SecuGuard is expanding a bilingual security workforce platform in Canada alongside SecuDrone Academy instruction.
Canada, 31st Mar 2026 – SecuGuard is expanding its role in Canada’s private security sector through a bilingual platform focused on connecting security professionals with employers, while also aligning with the training and operational expertise of SecuDrone Academy.
Founded by security trainer and operations professional Domingos Oliveira, SecuGuard is designed to support recruitment and workforce management in the private security industry. The platform is structured to help licensed security guards, private investigators, and protection professionals present their qualifications, experience, and availability, while giving employers access to a more focused and professional hiring environment.
The platform is built around the same core principle that guided its earlier development concept: creating a dedicated infrastructure for private security recruitment and workforce visibility in Canada. SecuGuard supports detailed professional profiles, credential presentation, candidate search tools, shortlisting functions, and direct communication features intended to improve hiring efficiency and professional standards.
A central objective of the platform is to strengthen trust and professionalism in security hiring. By emphasizing clear profile information, qualifications, and structured candidate visibility, SecuGuard is designed to help reduce hiring friction and improve the quality of matches between employers and security personnel.
The platform also reflects a broader professional ecosystem linked to Oliveira’s current work in security training and RPAS instruction. Through XGuard Security in Quebec, Oliveira provides consulting support and practical instruction aligned with private security training requirements, including BSP permit curriculum delivery in both French and English. Through SecuDrone Academy, he leads drone training and operational instruction as founder, president, head trainer, and instructor of a listed Transport Canada drone academy.
Oliveira’s professional background includes more than 22 years of experience across hospital security, intervention services, transport coordination, private protection, access control, patrol, surveillance, incident response, and high-pressure operational environments in Quebec and Nunavik. His experience includes leadership in healthcare security and transport functions, medevac support, emergency response coordination, and operational work in both urban and remote northern environments.
SecuGuard is positioned as part of that wider security and training framework. In addition to recruitment and workforce visibility, the platform is intended to support continued professional development, clearer employer access to qualified personnel, and a more structured digital environment for the Canadian security market. The platform is fully bilingual in English and French.
As demand for qualified security personnel continues across multiple sectors, the integration of workforce visibility, professional training, and operational readiness remains a growing area of focus in Canada. Through SecuGuard, alongside SecuDrone Academy, Oliveira’s current work reflects an effort to connect hiring, training, and field professionalism under a more unified model.
Media Contact
Organization: SecuGuard
Contact Person: Domingos Oliveira
Website: https://www.secuguard.org
Email: Send Email
Contact Number: +18002198499
Country:Canada
Release id:43110
The post SecuGuard Expands Security Hiring in Canada 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
About Author
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.
FinancialDataExtraction.com has launched a new AI-powered platform designed to help businesses extract structured data from financial documents. The software is intended to support accounting and finance teams that need a more efficient way to move information from records into spreadsheets and operational systems.
New Jersey, United States, 31st Mar 2026 – FinancialDataExtraction.com announced the launch of its new document extraction platform, a software solution developed to help businesses capture and structure data from financial records using AI.
Financial documents are central to how organizations manage reporting, reconciliation, compliance, and daily decision-making. Yet much of that information still arrives in formats that are difficult to work with directly. Invoices, bank statements, tax forms, financial reports, and related records may already exist in digital form, but the data inside them often still needs to be reviewed, organized, and entered manually before it can be used in a meaningful way. For finance teams working under time pressure, that extra layer of handling can become a persistent operational burden.
FinancialDataExtraction.com was developed to address that challenge by focusing specifically on the structure and content of financial records. According to the company, the platform is designed to interpret key financial information from a wide range of document formats and convert it into structured output suitable for spreadsheets, accounting systems, and internal workflows. Rather than relying on fixed templates, the software is intended to adapt to variation across layouts and sources, which is often where manual review work begins to accumulate.
The company says the platform is especially relevant for businesses that need to process financial information across multiple document types without creating separate extraction logic for each one. In practice, the difficulty is often not simply reading a document, but preserving the context of values, dates, tables, and line-item relationships so they can be used accurately downstream. FinancialDataExtraction.com is positioning its software around that need, with an emphasis on helping organizations make financial records more usable once they enter the business.
The launch reflects broader efforts across finance and accounting teams to reduce repetitive document work while improving consistency in how information is captured. As more organizations seek to modernize back-office processes, the ability to extract structured data from financial records is becoming increasingly important not only for efficiency, but also for supporting faster review cycles and more reliable operational reporting.
FinancialDataExtraction.com also states that the platform is SOC 2 Type 2 certified and HIPAA compliant, does not use customer files to train AI models, protects stored data with AES-256 encryption, secures data in transit with TLS 1.2 or higher, and deletes processed documents within 24 hours. According to the company, these controls are intended to support organizations that require stronger standards around privacy, security, and handling when processing sensitive financial information.
One user described the operational effect by saying that a monthly workload involving financial documents from hundreds of vendors, which previously took several days of accounting time, can now be processed largely through automated extraction in under an hour. The company says this reflects growing demand for tools that can reduce manual effort while improving the usability of document-based financial data.
About FinancialDataExtraction.com
https://www.financialdataextraction.com is a software platform that helps businesses extract structured data from financial documents using AI. The platform is designed to make information from invoices, statements, reports, tax forms, and other financial records easier to use in spreadsheets, accounting systems, and operational workflows.
Media Contact
Organization: FinancialDataExtraction.com
Contact Person: Owen Parker
Website: https://www.financialdataextraction.com/
Email: Send Email
State: New Jersey
Country:United States
Release id:43399
The post FinancialDataExtraction.com Launches AI Tool for Financial Document Processing 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
About Author
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.
DocumentDataExtraction.com has launched a new software platform that helps businesses convert document-based information into structured spreadsheet data using AI. The software is intended to reduce the manual effort often required to move data from everyday business records into usable operational formats.
Michigan, United States, 31st Mar 2026 – DocumentDataExtraction.com has announced the launch of its new document extraction platform, a software solution built to help businesses convert document-based information into structured digital data through AI.
For many companies, important operational data still arrives in formats that are easy to read but difficult to use. Documents such as invoices, receipts, contracts, purchase orders, and forms often contain information that needs to be moved into spreadsheets, accounting systems, or internal workflows before it becomes actionable. Although the files themselves may already be digital, the work of pulling out the right information often remains manual.
DocumentDataExtraction.com was developed to address that gap. According to the company, the platform is designed to read business documents in their existing format and extract relevant information into structured output without requiring document-specific templates or custom setup. The software is intended to support teams that deal with a wide range of document layouts and need a more consistent way to make those records usable across reporting and operational processes.
The company says the platform reflects a broader shift in how businesses are approaching document work. In the past, the focus was often on digitizing records or storing them more efficiently. Today, the challenge is increasingly about making the contents of those records available in a form that can move into systems, support analysis, and reduce administrative overhead. In that context, document extraction is becoming part of a larger effort to improve how information moves through the organization.
DocumentDataExtraction.com is positioned for businesses that want to reduce repetitive handling without changing the way documents are received in the first place. Rather than asking teams to standardize every format before automation becomes possible, the platform is designed to work across variation in supplier documents, internal forms, and other incoming records. The company says this is especially relevant for organizations processing high volumes of files across departments where even small differences in layout can create delays and added review work.
The company also states that the platform is SOC 2 Type 2 certified and HIPAA compliant, uses AES-256 encryption for data at rest, protects data in transit with TLS 1.2 or higher, does not use customer documents to train AI models, and deletes files within 24 hours. According to the company, these controls are intended to support organizations that require stronger standards around privacy, security, and document handling.
One user described the operational effect by saying that document extraction work once handled by multiple full-time staff can now run automatically across a wide range of formats. The company says this reflects growing demand for tools that can help businesses move away from manual data entry and toward more scalable document workflows.
About DocumentDataExtraction.com
https://www.documentdataextraction.com is a software platform that helps businesses extract structured data from documents using AI. The platform is designed to convert information from business records into usable spreadsheet and system-ready data with less manual effort.
Media Contact
Organization: DocumentDataExtraction.com
Contact Person: Harper Foster
Website: https://www.documentdataextraction.com/
Email: Send Email
State: Michigan
Country:United States
Release id:43397
The post DocumentDataExtraction.com Launches New AI Document Data Extraction Software 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
About Author
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.
SecuGuard Expands Security Hiring in Canada
FinancialDataExtraction.com Launches AI Tool for Financial Document Processing
DocumentDataExtraction.com Launches New AI Document Data Extraction Software
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