Enable access to the worldwide supercomputer
The problem is with growing big data across all industries, there lacks an efficient, cheap method to process this data without an expensive supercomputer processor.
The problem is with growing big data in every industry, there lacks an efficient, cheap method to process this data without an expensive supercomputer processor.
Background & Problem
When your phone is “idle”, it is still maintaining a signal with cell towers and syncing data. Why not harness this untapped computing power and be paid at the same time?
Synapse GL is like Airbnb “renting” phones for their CPU. It is a decentralized sharing economy of computing power, targetted towards smartphones, where anyone can make money ‘renting’ out their computing power or developing & selling software.
The goal of the team is to create a worldwide distributed supercomputer harnessing the potential computing power that is not being used while we charge our phones or tablets. The purpose of this was to use it for rendering computer graphics to research activities (inspired by scientific experiment based at UC Berkeley “seti@home“) or to sell the massive computer power to companies that need it.
Think: the fight against cancer, AIDS and Alzheimer’s, projects to ensure every child has clean water to drink, even the search for extraterrestrial life.
In the other hand, users that join to the synapse distributed computer, get monetary rewards while they charge their phones or tablets. While the phone is idle, a cryptocurrency can be mined safely with a charging phone and implement solve complex algorithms in the background to get “tokens”.
The proposed idea will solve distributed tasks depending on the cases of use. This idea will not only change the way the internet will work, but it will change our humanity for the better.
SynapseGL can distribute the task of rendering CGI, doing in minutes what would take days, for cheaper than anything else. The first successful test of SynapseGL was rendering photograms using distributed photograms assignation to each phone. For example, Pixar would be able to render movies minimizing time and resources through splitting this rendering task into N small pieces and distributing it in the SynapseGL Network.
Services like Plexus.market are growing exponentially. It is a 100% automated platform where clients can customize a variety of animations templates. The result is a full animation, without the need to hire an additional freelancer, saving valuable resources in motion graphics creation and render. SynapseGL will be able to build a social media platform, accelerating rendering and supporting the market of local artists.
Massive GPGPU Pool
With the SynapseGL network, we can run countless types of decentralized microservices and apps. A functional use case of this creates a Cloud9 Dynamic GPGPU Accelerated Workspace which we invite developers to join and create solutions for any real problem that can be addressed with this giant computational network. Anyone will be able to develop and share (for a profit, if they wish). These are just the tip of the iceberg in the potential use cases. And more will appear as more technologies come to fruition.
Whether you’re teaching an AI to beat grandmasters or recognize images or human voice patterns.
From stock market predictions to big data analysis, SynapseGL can speed up business computation while lowering costs.
SynapseGL can run the world’s first and largest fully decentralized cryptocurrency mining pools. It can also help with cryptography work like integer factorization.
The world of science can benefit immensely from inexpensive and easy access to a powerful supercomputer. From DNA analysis to protein folding simulations to searching for alien life and on and on.
Founder and CEO
Since 07/24/1997, Art and technology lover, Into Machine Learning, Quantum Machine Learning, Quantum computing, Blockchain Development and Music and all that unusual combinations. A former student of Universidad Simon Bolivar (2 trimesters) (Caracas – Venezuela), Universidad Catolica Andres Bello (2 Semesters) (Caracas – Venezuela), Universidad Metropolitana – Hack Academy Bootcamp (4 moths), Seneca College (One semester). Also Former Machine Learning Developer @ APIgarage.com, Research Assistant in the area of Machine Learning in Rotman School of Management (University of Toronto), Machine learning/Artificial Intelligence Software Developer at www.creativedestructionlab.com inside University of Toronto, Blockchain Developer @ chainsafe.io, Founder and CEO of www.plexus.market, Founder of SynapseGL network (Acquired on February 1 2018 by Artiste-qb.net) and now Cofounder and Chief Innovation Officer of Artiste-qb.net.
Emerging Technology Advisor
Holds an M.Sc. in physics from the University of Heidelberg and received his MBA from the Simon Business School of the University of Rochester in 1999. The same year he joined SAS Institute, serving in various pre-sales, product management and consulting roles in three different territories, Germany/EU, US (Eastern) and Canada. Over the course of his career, he amassed extensive experience in marketing and implementing complex, big data-driven B2B software solutions. His passion for physics and super-computing prompted him in 2011 to start blogging and analyzing the emergent QC industry.