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VOSAI
A Decentralized Machine Learning Infrastructure
VOSAI, which translates to “Your AI” in Latin, is a democratically controlled artificial general intelligence (AGI) for image classification and natural language processing backed by distributed compute and blockchain. The worlds FIRST machine learning infrastructure where miners earn substantially more over all other cryptocurrencies because they actually perform machine learning instead of just validating a currency transaction! Leveraging the power of GPU-intensive mining rigs on the World Computer, VOSAI has the potential to be the most powerful computational network ever created. The intent, purposes, direction, features and enhancements of the AGI will be determined by the VOSAI community which includes learners (miners), developers, data providers, data validators and customers. In essence, VOSAI is an AGI for the people, by the people.
4.1
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ICO start from:
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Seconds
Pre-ICO
Pre-ICO start date:
2018-07-04
Pre-ICO end date:
2019-01-01
ICO
ICO start date:
2019-08-25
ICO end date:
2019-12-20
Registration Country:
USA
Whitelist/KYC
KYC AND WHITELIST
Token
Accepting
ETH, BTC, Fiat
Soft cap:
15,000,000 USD
Hard cap:
100,000,000 USD
Platform
Ethereum
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Whitepaper
4.1
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4.1
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Roadmap
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Financial
Token info
Token
VOSAI
Type
ERC20
Platform
Ethereum
Token for sale
215,000,000 VOSAI
Token supply
1,433,333,333 VOSAI
Investment info
Accepting
ETH, BTC, Fiat
Min. investment
10 ETH
Soft cap
15,000,000 USD
Hard cap
100,000,000 USD
Distributed
15.00%
Whitelist/KYC
KYC AND WHITELIST
Milestones
1
2004-2018 Highly Distributed AI Computing Research
This research included the application of modern day enterprise software architectures for distributed and decentralized computing as it relates to Artificial Intelligence applications. The results of this research indicated the need and demand for a highly distributed and decentralized infrastructure that would be needed to support an AGI. More specifically, the software architectures needed to support the varying hardware required for proper AGI functionality including CPUs, GPUs, TPUs, DPUs and FPGA were taken into account for this research.
2
2006 Neural Network based Anti-Virus and Network Inrusion Research
This research included the application of artificial neural networks (ANN) as it could be applied to common enterprise problems. In this case, virus detection and network intrusion applications of ANN were explored. The results of this research showed successfully that ANN can be applied to effectively reduce, remove and ultimately rid most networks of computer viruses and network intrustion by inspecting the network at that packet level while acting as a proxy.
3
2008 Neural Networks and its Applications to Natural Language Processing Research
This research included the application of artificial neural networks (ANN) as it relates to natural language processing. The research was focused primarily on the written English language and deviated from commonly used NLP techniques in that the prototypes created used pure stimulus / response tuples combined with graphs and ANN to support the NLP.
4
2011 Cognitive & Neural Science Applications for AI Research
This research included collaboration with scientists from both Cognitive and Neural sciences. The objective of this research was to pattern match between the biological and the technological worlds in an attempt to bridge the gaps for a successful AGI. The results of this research showed that the software architecture directly pattern matched to that of the human mind structures and known processes.
5
2014-2018 Product Market Fit valudidation with real world customers
The Product Market fit for an AGI was explored in various industries including healthcare, construction, agriculture and law enforcement. The results proved that the industry most likely to adopt this technology at a rapid rate would be Construction and Agriculture.
6
2015 Draft Architecture and Technology Design for AGI
Initial draft prototypes, architecture and schematics were developed and peer reviewed over the course of the year to validate all assumptions and previous research.
7
2016 Initial AGI Whitepapers released for Scientic Community Peer Review
Initial draft white papers were developed surrounding the concept of an AGI without the portions related to decentralization. This was done by design to focus on the primary target of the AGI. Once this was reviewed and approved we progressed onward to include a decentralized approach mixed with a hybrid infrastructure until decentralization could offer all the requirements needed for the AGI.
8
2017 Release Candidate Whitepapers released for a Decentralized AGI
Release candidate white papers released for community and peer review which included the AGI, the computational whitepaper for its infrastructure and the decentralized components of the system as it relates to leverage a custom blockchain specific to VOSAI - that being PATHWAY.
9
2018 Final Release of Whitepapers
Final community feedback and legal approval of all whitepapers as it relates to the PreSale for VOSAI. This have been posted publicly on our website and can be consumed by anyone for comment.
10
2018 Legal Preparation
This included the creation of the VOSAI legal entity as well as preparation for securities law. The result of this is an official U.S. Securities offering as per Reg D 506.c for U.S. (included New York) based investors together with a Reg S offering for non-U.S. persons.
11
2018 Mining Pool owner Collaboration
This collaboration including Nice Hash, Ant Pool and Genisys Mining pools for feedback and consensus to work together in the coming year as the network is developed. This would ensure their mining community would have first stabs at this technology ultimately allowing their miners to maximize their earning potential.
12
2018 Presale
Official launch of the VOSAI Presale to world wide accredited investors.
13
2019 Initial Network Launch
We expect to launch the VOSAI network and its related components after the 13 month from the close of the VOSAI Presale.
Team
Executives
photo
Daniel Rodriguez
CEO & Founder
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Jorge Puignau
VP of Operations, Co-Founder
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Paul Beirne
Director of Engineering
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Tim Tilson
Co-Founder / Head of Market Development
Engineering
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Karel Alvarez
Computer Scientist
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Didzan Oro
Computer Scientist
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Ernesto Pinal
Architect
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Frank Gonzalez
Data Scientist
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Leonid Mendoza
Cryptographer/Mathematician
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Yudisbel Perez
Quality Assurance
Marketing
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Kateryna Gontaruk
UI/UX and Graphics
Community
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Kalyn Lengieza
Community Manager
Merrill Lynch
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Charlez Lopez
Investor
Animusoft / Billshark
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Steve McKean
Advisor
Corporate Development
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Arlene Greene
Business Developer
Advisor
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Adam Smith
Advisor
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Ronaldo Estrugo
Advisor
Block5
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Frank Amato
Advisor
Coinsetter / SWATT Exchange
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Marshall Swatt
Advisor
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