Crypto Mining Powered by AI
In the realm of Crypto Mining, the pursuit of optimization is a constant quest. Miners seek to maximize the rewards, enhance their strategies, and ultimately, secure the highest rewards possible. As technology continues to advance, artificial intelligence (AI) has emerged as a formidable ally in this pursuit. Leveraging the power of AI algorithms, miners can now delve deeper into the intricacies of many strategies, unlocking new levels of reward optimization.
The concept of using AI to optimize rewards within crypto mining is continuously comparing rewards offered by different PoW cryptocurrencies and distributing project’s funds into the pool with the highest yields. Users just need to deposit their assets into the vaults and the protocol automatically generates yields for them.
To identify the most optimal mining pools, shard AI employs two main methods:
Heuristic learning using classical machine learning algorithms (Decision Tree, SVM, and Random Forest) combined with feature engineering techniques. This method utilizes features defined by humans such as hash rate, number of miners in the pool, reward per block, price, etc. The data is carefully cleaned and standardized to achieve the highest accuracy in results.
Deep learning: All parameters are passed through multi-layer neural networks, utilizing architectures such as LSTM, Res Block, and Transformer. Features will be redefined by the machine and parameters adjusted to achieve the best output result.
"The machine learning and deep learning algorithms are trained and inferred using TPU Cores. TPUs are designed to be more energy-efficient than GPUs, with a focus on reducing the power consumption per operation. TPUs use two-dimensional multiply units that help in matrix multiplication faster compared to the one-dimensional multiply units in CPUs and GPUs.
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