On May 9, AI Crypto will launch a pre-sale round while the primary ICO stage is scheduled to begin on May 30. The team has arranged to issue 10 billion AIC tokens, with about 50% of the total supply that is on sale. The hard cap is set at 50,000 ETH, and the exchange rate is 1 ETH = 100,000 AIC. All unsold coins will be burned to maintain value.
In 1948, Cybernetics started out as a separate science when American mathematician Norbert Wiener published a book based on the subject. Since then, people have grown bewitched by the idea of artificial intelligence (AI).
A lot of scientists, engineers and experts have been moving forward by trial and error, analyzing, experimenting and testing various theories trying to make a machine that thinks like a human. If the latest goal of AI research is to propel humankind to a new stage of evolution, then block chain is a convenient tool to build up all the accomplishments and developments in this domain.
Artificial intelligence research is a high-runner process that is in need of big arrays of data which can be evaluated and used for “training” artificial intelligence algorithms. Now, data generated by basic internet users and other crucial sources, including computing power, are restrained by gigantic corporations like Facebook, Google, and Microsoft.
The AI Crypto team trusts that block chain technology will assist people to achieve their ambitious goals faster and more adequately. With this logic, AI Crypto is launching a block chain-based AI ecosystem with the main objective of making AI research easier and cheaper by connecting AI developers and startups on a global scale.
AI Crypto’s platform can be used as a global hub for AI industries, causing the participants to share their data and idle computing power, erasing monopoly and making AI and its profits available to anyone.
There are 3 essential modules AI crypto ecosystem is based on:
GPU (general processor unit) is the essence keeping the AI crypto network functioning.
DATA is a block chain-based platform for creating and distributing AI-related data.
MODEL is a machine learning module for smooth and cost-effective operation.
AI Crypto ecosystem use cases:
Voice recognition– the platform consists of modules for a voice recognition engine with deep learning technologies that can be used in customer service and automatic call centers.
AI dialogue analysis- the system uses technology based on natural language comprehension to analyze dialogues, emotion, purpose, and context from the former conversations and thus help AI agents hold eloquent conversations in finance, commerce, and customer service.
Image analysis- the platform offers image categorization, facial, and fingerprint recognition services. The AI model for image evaluation will be included in many services across the platform.
Autonomous vehicles- The GPU network will provide users with the necessary computing resources to develop the AI model for autonomous vehicles.