Effect.ai - An AI Decentralized Network

Many algorithms are developed by big corporations which result in reduce operability between various algorithms and it makes the AI environment as a whole non-cooperating. People struggle to find out data sets relating to these algorithms and they end up paying premium for it. And also people who want to self-train AI also struggle with these problems. To solve all these problems the Effect Network was built on top of NEO. The Network will operate using smart contracts developed on the NEO Blockchain. The Network charges no commissions and significantly lower entry barriers with its aim to make a totally private and decentralized AI market. The network divides into 3 phases in order to provide the necessary infrastructure.

Phase 1 – Effect Mechanical Turk

The Effect Mechanical Turk (EMT) operates as a decentralized alternative to Amazone’s MT. This is a marketplace where it needs human intelligence like identifying a certain object. EMT will bridge requesters and workers while regulating task completion through smart contracts. The system architecture is as below.

Using the EMT, workers will be compensated using the Effect’s proprietary token on a peer-to-peer basis. Implications are to boost the token’s liquidity and overall value while cutting all third-party fees from tasks. It’s worth mentioning that such fees vary between 20% to 40% in existing HIT centralized marketplaces. However one can’t help but notice the absence of any clear arbitration in the system. There will only be a review/rating process that rewards “Honor Tokens” to good achievers. These tokens, however, can’t be traded or sold, and expire over time

Phase 2 – Decentralized AI exchange

This is the projected marketplace for AI algorithms. Here service providers can sell their AI knowledge for usage fees specified in form of EFX tokens while users will be granted authorizations registered on a blockchain to grant them access to the specified AI algorithm.

Phase 3 – Decentralized AI Algorithms

This phase is about integrating all the algorithms to the NEO Blockchain. This will grant the project a global scalability and tends to eliminate points of failure. Hence, computation will be distributed. The Network will be based on deep-learning networks such as Caffe, MXNet, and Tensorflow.

Features of Effect.AI

Accessibility :

Training of AI algorithms make easier, faster and cheaper by directly linking supply and demand through Effect.AI Mechanical Turk (EMT). This will allow users who do not have access to a large dataset or a big network to train their AI algorithm.

Accuracy :

The Effect.AI Smart Market is an exchange where users can use data sets with significantly higher complexities to train their AI algorithms. Individual applications are able to find each other to buy or sell information.

Performance:

By purchasing services from algorithms on the ESM, users can develop their current datasets or they can setup a new datasets by creating micro-tasks on the EMT platform. By allowing users to build datasets quickly and accurately they can immediately use these datasets to train AI algorithms.

For More Information Visit :

Website : 👉 https://www.effect.ai/

whitepape: 👉 https://www.effect.ai/download/effect_whitepaper.pdf

Telegram : 👉 https://t.me/effectai

Facebook: 👉 https://www.facebook.com/effectai/

Twitter: 👉 https://twitter.com/effectaix

Author details

Bitcointalk profile url : https://bitcointalk.org/index.php?action=profile;u=1230529