Artificial intelligence (AI) cryptocurrency Qubic was listed on the MEXC centralized cryptocurrency exchange, just as its development team announced an updated roadmap for this year.
MEXC is the eleventh top cryptocurrency exchange based on volume according to CoinMarketCap data. As of July 17, the exchange has seen a 24-hour trading volume of $1.77 billion.
Qubic claims to be the world’s first “useful proof-of work” (PoW) blockchain, meaning that PoW computation has an additional use other than securing the network. Qubic’s PoW computation doubles as machine learning training work for the Aigarth platform. Eric Fung, APAC Growth Lead at Qubic said:
We are excited to partner with MEXC for our token listing, providing our community with greater access and visibility on a global scale. This listing is a crucial step in expanding our ecosystem and driving adoption.
Aigarth is a project on the Qubic network that combines AI and distributed computing. It allows users to contribute computational power to solve AI problems using a special evolutionary algorithm based on Helix logic gates. The project is still in development and aims to create a collective system for tackling complex AI tasks.
Qubic’s roadmap is mostly centered on three areas: community development, grants and achieving listing on major cryptocurrency exchanges. Overall, the team plans to launch iOS, Android, Windows, and macOS wallets as well as integration into existing wallets such as Hashwallet, Heat and Metamask.
The development team also promised better documentation, improve network performance, implement a new reward system. The plan also mentions conducting security audits and new features such as light nodes and oracle machines.
Oracles in the context of blockchain are systems that provide external data on blockchain networks. Those services act as bridges between the blockchain and the outside world, thus allowing smart contracts and users to access and respond to real-world data and events in their transactions.
The team also promised to publish an academic paper on Qubic AI. The roadmap puts particular emphasis on the ecosystem’s financial health and long-term success through sustainable funding, organizational improvements, strategic hiring and increased transparency in reporting. The developers aim to reach a stable tick time of one to two seconds.
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