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Artificial Intelligence

Label2Earn (L2E) brings Artificial Intelligence to Crypto Space & creates new opportunities for AI Technology

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New York, May 09, 2022 (GLOBE NEWSWIRE) — Label2Earn (L2E) is a new kind of project in crypto domain, which will produce accurate and large datasets for Artificial Intelligence (AI) systems. L2E project will provide users the opportunity to earn L2E tokens by using the mobile App, the project website and/or python codes. L2E project will make the AI dataset generation task, simpler and more accurate than ever. For example, object cropping in an image can be done as a simple drawing task. Users will draw a line around the object and the system will convert that to a Label for an AI model.

When users decide to be a participant in L2E project, they will have level 0. Level 0 means training phase. In the training phase, the system will teach the users how to draw lines accurately. They will be asked to re-draw on some images and the results will be checked by the system. All users will earn L2E tokens during training phase. In the case of accurate results, users will gain a new and higher level. Higher level means more benefits and earning. When some users have gained higher levels, they can be considered as experts. The expert users can now label new dataset for L2E customers and earn more and more L2E tokens. Based on our initial tests, the expert users can label new datasets with better accuracy compared to automated labelling tools and free labelling toolboxes. And of course, with a large number of expert users we can produce AI datasets faster than any other system in the world. There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives. AI assists in every area of our lives, whether we’re trying to get driving directions, get music or movie recommendations, Self-Driving and parking vehicles. Self-driving and parking cars use deep learning, a subset of AI, to recognize the space around a vehicle. Nowadays, deep learning systems have been employed in following areas: 

  • Object detection and tracking 
  • Autonomous vehicles 
  • Translate apps 
  • Facial recognition, real-time sports tracking 
  • Healthcare, Agriculture, Manufacturing 
  • Image annotation, Image to text (OCR) 
  • Deep fake, deep image and video generation 
  • Predicting market and weather

One of the most tedious parts of creating an AI system is gathering the dataset that you’ll be training your models on. L2E project will guide our customers through the process of generating their AI systems by gathering large and accurate training datasets very quickly. Our customers can be (but not limited) as the following list: 

  • Software Companies 
  • Start-ups 
  • Universities 
  • Offices and institutions 
  • Factories 

L2E project will generate new datasets with international data quality standards for AI, machine learning and deep learning systems. L2E project follows all the international data security standards to ensure the privacy and confidentiality of data at every level gaining the trust and confidence of our customers. At the other hand, after training our L2E users for labelling datasets accurately, we will generate new datasets for ourselves by using about 5% of total supply. Then we will create several AI systems using these new datasets and deploy the systems as rest APIs. All customers can pay L2E token and use these systems instead of generating their own AI systems. Therefore, they can save their time, efforts and money. Generally, the paid tokens for using the APIs (generated AI systems) will be used to create new datasets by the L2E users.

DATASET Marketplace

 We will create our own datasets by the help of L2E users. Then we will use these new datasets for creating API web services. At the other hand, we will sell these datasets to our customers.

Roadmap and Development plans for the year 2022-2023 

Phase 1:

Development of Website and Mobile application and server-side development with the creation of smart contract of the project. 

Phase 2:

Launching on Pancake-swap followed by listing on CoinMarketCap and Coin Gecko. Organizing community events and launch of streaming Dapp and starting advertising campaigns. Holding YouTube live streams and AMA sessions. Getting the audit done of our contract by reputed agencies. Launching the token on centralized exchange.

Phase 3

Further development of server side and mobile application improvement along with GUI Design for new datasets. Onboarding influencers and celebrities for promoting our platform and advertising on various platforms.

Phase 4

Creating first L2E dataset and test API web-services. Finding labelling customers along with Roadmap expansion for the next year.

Socials:

Website: https://label2earn.com/

Twitter: https://twitter.com/Label2Earn

Telegram: https://t.me/L2EOfficial

Media Contact:

Email: [email protected]


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Artificial Intelligence

First Comprehensive Report on Public Web Data Released by Bright Data

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Reveals necessity in every industry
NEW YORK, April 23, 2024 /PRNewswire/ — Released today, The State of Public Web Data Report 2024, details a comprehensive analysis on how organizations leverage public web data to drive innovation, enhance customer experience, and develop AI models.

Bright Data commissioned an independent third-party to carry out the first survey of this kind which details the emergence of public web data as the most valued data type. Nearly every organization surveyed uses and benefits from public web data through quicker decision-making, boosting revenue, and meeting customer needs.
The need for public web data in AI is clear in all industries, with more than half of respondents using public web data to build AI models for customer service or to meet internal needs such as fraud detection and risk assessment.
Although necessary to build AI machines, 72% of respondents are worried that public web data will no longer be accessible in the next 5 years. The lack of a legal framework to protect this data emerged as a top concern.
Other key insights from the report:
89% of respondents recognize public web data is crucial or very important to the global economy.82% of respondents say public web data is critical to the future of their organization.79% of respondents agree that large organizations and or big tech hide too much of their public web data.88% of respondents believe public web data is critical for the development of AI models.”Our findings reveal a clear consensus among industry leaders: leveraging public web data is key to unlocking growth and fostering innovation,” said Or Lenchner, CEO of Bright Data. “Public web data is not a ‘like to have,’ it’s a ‘must have’ to conduct business and maintain a competitive market. We understand from our own experience with 20,000 customers that once a business realizes the potential of public web data they will look to discover new ways to leverage this tool to lead against the competition.”
About Bright Data: Bright Data is the #1 web data platform. Fortune 500 companies, academic institutions, non-profits, and small businesses rely on Bright Data’s solutions to collect public web data in the most efficient, reliable, and flexible way to make faster, more informed business-critical decisions.
Contacts:[email protected]
Logo – https://mma.prnewswire.com/media/2276620/Bright_Data_logo__1044x234_Logo.jpg 

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Artificial Intelligence

OSIA becomes an official International Telecoms Union (ITU) standard

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ITU Standardization Sector (ITU-T) Recommendation X.1281 – APIs for interoperability of identity management systems
BRUSSELS, April 23, 2024 /PRNewswire/ — The Secure Identity Alliance (SIA) announced today that its OSIA specification, is recognized as international standard by the International Telecommunication Union’s Telecommunication Standardization Sector (ITU-T). This milestone establishes OSIA as official ITU standard (ITU-T Recommendation) for the global infrastructure of information and communication technologies (ICT).

The specification that is now an ITU-T Recommendation is: ITU-T X.1281 – APIs for interoperability of identity management systems.
ITU-T is the standardization arm of ITU, the United Nations specialized agency for ICT. The Secure Identity Alliance specifications were approved as official ITU-T Recommendations by ITU members including 193 countries and the world’s front-running ICT companies on 1st March 2024. The new ITU-T Recommendation is under the responsibility of ITU’s standardization expert group for security, ITU-T Study Group 17.
“We are very proud that the OSIA specification is recognized as an international standard by ITU-T. This milestone demonstrates the maturity of OSIA and its potential to foster interoperability and promote fairness in the identity management systems market,” said Debora Comparin, Chair of the OSIA Initiative.
Prof. Heung Youl Youm, Chairman of ITU-T Study Group 17, said, “The recognition of the OSIA specification as an official ITU-T Recommendation underscores its critical contribution to the advancement of global ICT infrastructure. We are thrilled about the ongoing collaboration between ITU-T SG17 and the SIA, aimed at developing standards for secure identity management.”
“As Editor of the OSIA standard in the ITU-T Study Group 17 Q10, I am pleased to have contributed to this successful recommendation by the ITU,” said Abbie Barbir, Rapporteur for ITU-T’s working group on ‘Identity management and telebiometrics architecture and mechanisms’ (Q10/17). “The collaboration with the SIA continues on OSIA and other structuring initiatives and standards development.”
Engr Abisoye Coker-Odusote, CEO, National Identity Management Commission (NIMC), Nigeria & Chair of the OSIA Advisory Committee, said, “As the Chair of the OSIA Advisory Committee, comprised exclusively of government representatives, we take great pride in our five years of collaboration guiding the working group in the development of the OSIA specification. OSIA establishes equal marketplace conditions, fosters collaboration, and ensures product compatibility post-mergers and acquisitions. The OSIA standardized interfaces drive innovation, enabling new local market models and reducing fraud within multiple ID systems. Additionally, OSIA addresses integrator/vendor lock-in, allowing governments to maintain control over their identity systems and pursue national development agendas seamlessly.”
“The Secure Identity Alliance has always supported standards and its members have contributed to thousands of standards globally, which are now used in the ICT market. Standards are key to unlock the full power of Identity to enable people, economy and society to thrive,” concluded Didier Trutt, Chairman of the SIA.
X.1281 is at publication stage and can be accessed here: https://www.itu.int/ITU-T/workprog/wp_item.aspx?isn=18778
OSIA v6.1.0. twin specification can be accessed here: https://osia.readthedocs.io/en/v6.1.0/index.html 
OSIA qualification programme can be accessed here: https://globalplatform.org/osia-qualification-program/
For more information on the Secure Identity Alliance and the OSIA Initiative, visit http://www.secureidentityalliance.org and www.osia.io
For more information on ITU-T SG 17 visit https://www.itu.int/en/ITU-T/studygroups/2022-2024/17/Pages/default.aspx.
About the Secure Identity Alliance:
Secure Identity Alliance (SIA) is a global non-profit association that serves as the voice for public and private actors and organizations active in the secure identity ecosystem and adjacent industries. SIA’s mission is to unlock the full power of identity so that people, economy, and society thrive. The association supports the development of the activities of its members across four broad pillars: Identity for Good, Outreach, Open Standards Development and Industry Services and Solutions. www.secureidentityalliance.org
About OSIA:
A digital public good, OSIA is an open standard set of interfaces (APIs) that enables seamless connectivity between building blocks of the identity management ecosystem – independent of technology, solution architecture or vendor.  More information at www.osia.io
Follow the Secure Identity Alliance at on X @secureidentity1 and LinkedIn at https://www.linkedin.com/company/secure-identity-alliance/ 
About ITU-T SG 17
The ITU Telecommunication Standardization Sector (ITU-T) is one of the three Sectors (branches) of the International Telecommunication Union (ITU). It is responsible for coordinating standards for telecommunications and Information Communication Technology such as X.509 for cybersecurity, Y.3172 and Y.3173 for machine learning, and H.264/MPEG-4 AVC for video compression, between its Member States, Private Sector Members, and Academia Members.
Logo: https://mma.prnewswire.com/media/2394623/OSIA_Logo.jpg
 

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Artificial Intelligence

SciBase will present at the Redeye Medtech Event on April 24th

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STOCKHOLM, April 23, 2024 /PRNewswire/ — SciBase Holding AB (“SciBase”) (STO: SCIB), a leading developer of augmented intelligence-based solutions for skin disorders will participate at the Redeye Medtech event.

On April 24 at CET 9.50 CEO Pia Renaudin will present the latest developments in SciBase at Redeye. The presentation is live broadcasted and can be followed at https://www.redeye.se/events/974326/redeye-theme-medtech-2 where the replay and the presentations will be available afterwards.
For additional information, please contact:Pia Renaudin, VD, tel. +46732069802, e-mail: [email protected]
Certified Advisor (CA):Vator SecuritiesTel: +46 8 580 065 99Email: [email protected]
About SciBase:
SciBase is a global medical technology company, specializing in early detection and prevention in dermatology. SciBase develops and commercializes Nevisense, a unique point-of-care platform that combines AI (artificial intelligence) and advanced EIS technology to elevate diagnostic accuracy, ensuring proactive skin health management.
Our commitment is to minimize patient suffering, allowing clinicians to improve and save lives through timely detection and intervention and reduce healthcare costs.
Built on more than 20 years of research at Karolinska Institute in Stockholm, Sweden, SciBase is a leader in dermatological advancements.
The company has been on the Nasdaq First North Growth Market exchange since June 2, 2015. Learn more at www.scibase.com. All press releases and financial reports can be found here: http://investors.scibase.se/en/pressreleases
This information was brought to you by Cision http://news.cision.com
https://news.cision.com/scibase/r/scibase-will-present-at-the-redeye-medtech-event-on-april-24-th-,c3966053
The following files are available for download:
https://mb.cision.com/Main/12371/3966053/2751965.pdf
Redeye presentation
 

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