TAO
Bittensor
$0.00AUD
Market Cap
5.7B AUD
24H Trade Vol.
492.2M AUD
Total Supply
7.4M
All
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1M
1Y
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Price Changes
24H:
+0.00%
7D:
0.00%
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≈ 0.00000000 TAO
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What is Bittensor?

Bittensor is an open-source protocol that leverages blockchain technology to create a decentralized network focused on machine learning. It enables collaborative training of machine learning models and rewards contributions with TAO tokens based on the value of the data and models they provide to the network.

How does Bittensor work?

Bittensor operates as a decentralized AI network with distinct subnets dedicated to various machine learning tasks. It uses a unique consensus mechanism called Yuma Consensus, which involves a weight matrix to determine incentives for miners and dividends for validators based on their contributions. The network supports Ethereum smart contracts via an Ethereum compatibility layer, enabling users to deploy and interact with these contracts seamlessly within the Bittensor blockchain.

What are the potential use cases for Bittensor?

Bittensor has diverse applications across industries like finance, healthcare, and automation. In finance, it can be used for market forecasting and risk analysis. In healthcare, it can support disease diagnosis and treatment personalization. Additionally, it facilitates AI-driven process automation and data analytics. Several projects leverage Bittensor's capabilities, such as Sportstensor for sports predictions and Sylliba for language translation.

What is the history of Bittensor?

Bittensor was founded with a focus on decentralization and innovation in blockchain and AI. It has undergone several technical updates to enhance its performance and capabilities, such as the introduction of version 8.2.0 for its SDK and Wallet SDK. The network has formed strategic partnerships to broaden its applications and developed a unique consensus process for incentivizing model training. Over time, Bittensor has grown significantly in market presence, reaching a substantial market capitalization.

Frequently Asked Questions (FAQs)