Category: Recently Added Whitepapers

“Muzika is a revolutionary coin economy that will reshape the global digital music industry.” This whitepaper outlines how Muzika revolutionizes the music industry by establishing a self-sustaining and righteous digital music ecosystem that will (1) eliminate unnecessary intermediaries, (2) empower musicians and consumers, (3) decentralize distribution power, and (4) restore the balance of economic distribution among market players. Muzika holds the promise of a future where compensation for a musical creation becomes proportional to the effort and dedication put into the creative process.

For the past two decades, the music industry has gone through two enormous paradigm shifts: one from ‘tangible albums’ to ‘intangible files’, and one from ‘download’ to ‘streaming.’ The former made music more accessible and widespread, and the latter elevated the levels of cashflow into the industry.

However, the share of these boosted profits that musicians receive has seen a decline. Distributors and publishers are enjoying excessive and long-lasting returns for a one-time and unsophisticated task. The issue of digital copyright piracy still remains unresolved. Fans hope to see the musicians they love happy, but do not have any role to fill other than consuming digital music that is packaged by the distributors and publishers.

Muzika is gearing up to overturn the depressing reality of today’s digital music market. From A to Z, we will transform the digital music industry and re-define the roles of the market players involved, including consumers and musicians. The Muzika Coin (MZK) will serve as the sole medium for all the transactions and exchanges necessary within the new ecosystem, sparking a paradigm shift in the digital music industry.

We invite you to join the revolution.

SparkPoint Ecosystem is a decentralized payment gateway with integrated crypto exchanges, blockchain based e-learning, gaming, and online store. With four main functions, people can now settle bills, send and receive money, enrol in various e-courses and e-programs, shop, and entertain themselves in one platform. Not to mention, to earn and be rewarded!

VISION
SparkPoint Ecosystem aims to encourage people to participate in digitizing payment transactions by providing inclusive financial services integrated with blockchain technology, easing the hassle of transferring money & participating in cryptoccurency exchanges.

MISSION
Provide alternative payment gateway with low-cost fees
Provide almost real-time transactions.
Promote financial literacy and blockchain technology awareness.
Provide safe and secure marketplace.
Continuously engage in financial technology innovation
Protect user’s financial and private information.
Create innovative blockchain-based games.
Provide superior customer service.

Cryptocurrency International Tanzania limited (CITL) is a private limited liability company incorporated in the United Republic of Tanzania. CITL is among the very first companies in Tanzania to offer products in the financial technology sector. To this end CITL is dedicated to the transformation of global payment systems and transfer of money through cryptocurrencies and Blockchain technology and the utilization of market volatility of both cryptocurrencies and fiat currencies in global financial markets to create a decentralized Connect Coin (XCON).

Our token is designed to facilitate global payments and transfer of money. XCON will be deployed into its own ecosystem where it will provide its services on the CITL Exchange Platform, CITL Merchant Platform, Connect Marketplace Platform, CITL Training Academy, Connect Card and also provide investment opportunities for small and medium sized investors. CITL

aims to facilitate the smooth running of cryptocurrency trading, to create Connect Coin (XCON) and to make it the utility coin used as the means of payment on our an various other platforms. Globally, Our platform will allow people to transfer money Connect Coin, which can be used to pay for all utilities and purchase various things from all kinds of outlets, ticket booths, movies theaters, restaurants, health centres, religious offerings etc. We are focused to become the first and best e-commerce platform that allows online stores and consumers to make direct purchases from manufacturers. This is essentially the next-generation decentralized e-commerce platform to harness the power of distributed ledger technology (Blockchain) along with innovations in bulk pricing, real-time logistics, e-commerce and cryptocurrency.

One benefit of blockchain’s decentralized technology is its application beyond cryptocurrencies. We are applying the techology to machine learning – to enable a smarter “thinking” blockchain process. Most machine learning models that have been used have an underlying assumption that some global knowledge is required by its algorithms to function (see fig 1). These are centralized distributed, where the entire data set is loaded into a cloud of distributed nodes so that the two main functions of machine learning are performed in one large library of functions ETL/Exploration and Model Training/Parameter Tuning. Spark, Watson, Azure all use this platform based approach and we are also biased towards methods that have been known to work.

gny.io’s DistributedDeep Learning breaks this pattern of one large platform library by creating two of the smallest configurable self-learning unsupervised neural net nodes – ETL node and ML node – and distributing these nodes into each block of the block chain to have them teach themselves the solution to each problem. The one conceptual problem though of machine learning is that error detection requires global knowledge that gets backpropagated to its constituents. This requirement though is fixed in gny.io’s DistributedDeep Learning systems.

Therefore we prefer the term ‘localized models’ and not ‘model free models’, even though both mean a measure of lack of intelligence of constituent parts. In general though, this is similar to the concept of ‘parsimony’, in that we seek the simplest of mechanisms that give rise to emergent properties of prediction. Gny.io is not a crushed up small machine learning library; it is one node of a huge distributed brain.

Gny.io has configurable ETL microservices and configurable machine learning microservices that can read the entire chain of data or it can read the current block data. Gny.io’s microservices uses deep learning which is a class of machine learning algorithms in the form of a neural network that uses a cascade of layers (tiers) of processing units to extract features from data and make predictive guesses about new data. The smallest ML node system varies the weights and biases to see if a better outcome is obtained using a neural network.

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