Artificial intelligence and blockchain converge in “world’s first” AI-powered dapp

With a growing presence in consumer products and services, artificial intelligence and blockchain have become synonyms for innovation. But the two words are rarely used together in the same sentence.  

Cortex blockchain, which was launched in June this year, aims to change that discourse. The platform calls itself the first blockchain to integrate decentralized applications that use artificial intelligence. 

“We can do everything that Bitcoin and Ethereum can do and, on top of that, we can also do machine learning,” Gary Lai, global operations manager at Cortex, told Decrypt

“AI on blockchain is no longer an abstract concept,” he said. Last week, Cortex released its first decentralized app (dapp), Digital Clash, that incorporates AI in the form of a training model for game scenarios.

The rules of Digital Clash are deceptively simple. Two teams, red and blue, vie to put a given sequence of numbers in a row onto a canvas. The teams employ various strategies to achieve their goal. For example, they can arrange their tokens in a desired format or purchase pixels from each other using Cortex’s native token. The pixel price is initially set to CTXC (Cortex’s native token) and its price increases based on the number of transactions. Thus, the more transactions that a pixel is involved in, the more expensive it becomes.  

 

Parameters and execution of the game change based on player moves. This is where the AI training model plays an important role. For example, the game’s difficulty is adjusted based on team dynamics. Pixels can also become cheaper if there is a massive imbalance between the number of players for both teams.  

Why AI and blockchain are a difficult match

Microsoft announced earlier this year that it was “leveraging” blockchain to make machine-learning models accessible. But such announcements do not automatically translate to machine-learning integration. 

“It is important not to conflate machine-learning training…

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