How Synapse AI are setting data free

A Decentralized Data Marketplace

It’s hard to imagine what the future will look like but we can look at the processes we have adopted over the last 10 years to get a picture of what it might hold. Artificial Intelligence and machine learning have become essential tools to make our day to day lives run a little smoother.

The data we give to companies for free without even realising, helps to create a clear picture for machines to calculate a required output. From a simple purchase on Amazon, our data is collected into specific data sets and held as a preference for the next time you visit their page. Or for the next customer that purchases the item, the data collected from previous customers helps Amazon to recommend items which are usually bought along with it.

We are moving into an age in which Artificial Intelligence and machine learning processes help to make our decisions for us. It’s fascinating to think how far AI and Machine learning can take our civilisation but there are two key flaws in the system today. If every piece of data created by Man or Machine was correlated into one place, for all intelligence to use, our processes would become even more efficient and allow our progress as a society to evolve faster. Also the data that is used to ultimately create profit, isn’t producing revenue for the creators of it.

Synapse AI are creating a decentralized data marketplace where any type of data can be collected and used by anyone, human or machine. The creator of any data placed on the Synapse AI marketplace are rewarded in SYN, the Cryptocurrency used within the Synapse AI ecosystem.

Synapse AI are essentially setting data free. Allowing it to be immediately accessible by all intelligence to allow us to create a productive and efficient future economy. Instead of major conglomerates holding data and using it for their own personal gain, the data is collected on an open network which is accessible for anyone.

The system is categorized into a number of different parts. Agents, which can be human or machine can create and contribute to data pools within the system. Data pools is a single or correlated piece of data which can be given specific labels to by an agent. Data pools help to set a model, which is a characteristic or pattern of behaviour that can be picked up and understood by an agent. This in turn creates a service which is the output created through our process which can be offered and negotiated within the marketplace.

The team *

Dan Gailey

CEO, Engineer

Passionate about machine learning, and artificial intelligence, Dan is a huge proponent of ambient intelligence and how it will complement our lives.

Dan holds degrees in Electrical Engineering (autonomous robotics), and Computational Chemistry. Previous work has been with the National Center for Physical Acoustics, Make Magazine, e.Ventures, in addition to launching Baqqer, Asteria, Techendo, Pule, and others.

Nathan Ross

COO

Nathan has over a decade of experience building and growing products. He has worked with consumer products, enterprise solutions, data-focused technology, and everything in-between.

Nathan’s education includes degrees in Business Management, Business Marketing, and Advertising Art Direction with a focus on Interaction Art Direction.

Jamie Cushenan

Blockchain Developer

Starting programming at a young age, Jamie has always been fascinated by data and technology, which led him into game development after college. Since then, Jamie has continue to learn and expand his insights into machine learning, cryptocurrency and blockchain technology.

Jamie has a degree from Ulster University in Software Engineering.

Gil Chávez

Lead Designer

A long-term illustrator and graphic designer, Gil prides himself on creating new and exciting designs each and every day. Gil has helped take Synapse’s brand towards the future in this quest.

Elizabeth Dixon

Security Researcher

Advisors *

Hugh Dubberly

Stanford, Apple, Netscape

As the former vice president of Netscape’s Web Design and Site Integration Department, and the recent Co-founder of his own eponymous design consulting firm, Dubberly — like his favorite Greek philosopher — is a professional shiner of light into the murk and ambiguity of life. “My central concern is to figure out how design can be employed to make complex ideas visible and understandable so that we can make better products”, he says. With impeccable design and digital pedigrees, Dubberly has been on the cusp of “what’s next” since the Internet’s early days. It’s worthwhile, then, to pay attention to his present thoughts on what’s next for the business of design — and the design of business.

Howard Rheingold

Author, Stanford, Institute for the Future

As a critic, writer and teacher, Howard Rheingold’s specialties are on the cultural, social and political implications of modern communication media such as the Internet, mobile telephony and virtual communities. His book Tools for Thought tells of the history of those who created the personal computer. About that same time he first logged in to an influential early online community called The WELL. That experienced is explored in his seminal book The Virtual Community.

Jackson Palmer

Founder of Dogecoin

As a product, growth and data geek at Adobe by day, and coder and technologist by night, Jackson Palmer may be best known as the creator and founder of well-known cryptocurrency Dogecoin (DOGE). Introduced initially as a “joke” in 2013 to pay homage of the Shiba Inu dog from an internet meme, Dogecoin quickly developed its own online community and reached a market cap of $60 million USD in January 2014. At one point in June 2017 it’s market cap topped over $400 million USD.

Social statistics *

Twitter -4,188 Followers

Facebook -675 Likes

Reddit -19 Readers

Youtube -946 Subscribers

Medium -18 Followers

Telegram -119 Members

Slack

News *

September 18th, 2017 -ICO Bench

For the first time in history, earn rewards by contributing data in the form of SYN tokens, which may be redeemed for services on the Synapse network or traded on most major exchanges worldwide.

October 1st, 2017 -Token Market

Synapse is creating a decentralized data and machine learning marketplace and exchange. This will allow anyone to contribute data, train machine learning models, and be compensated for both.

October 20th, 2017 -Chipin.com

Synapse AI’s aim is to create the world’s first decentralized data and intelligence machine learning marketplace for IoT and AI systems. This platform will be available to anyone from researchers who want to use data for their projects, processors, contractors as well as IoT devices and wearables that can benefit from it.

The ICO *

When:

The ICO started October 21st, 2017 and runs until November 21st, 2017. The crowdsale will end early of the $50,000,000 (50 Million USD) hardcap is reached.

Token name:

Synapse AI (SYN)

Total supply:

1,000,000,000 (1 Billion) SYN tokens

If any tokens are remaining after the ICO the remaining tokens will be burned.

Distribution:

33% -ICO

33% -Developer fund

33% -Company

1% -Token sale costs

Price per token:

The price variates due to the structure of the sale.

Tokens are auctioned off in lots, each with a displayed number of coins in. The highest bidder on each lot receives the coins within it.

Important links *

The Synapse AI whitepaper.

If you would like to participate in the Synapse AI ICO.

My Ethereum Address -0xD9e835E886E4257F775c83F54f332d0a07E9eA83