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ENGY Consumption in Krypto Mining: AI APROACH
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The rise in Cryptocurrender deals with the replacement of computing, which in turn, which is the concrnners from Abococtctachtlipt. Az ipar folytatja a növekedést, az Opmilien előadását az opmiencia, a kvázel költségei és a midium negati a környezetben.
Legal methods: predictive analytics and machine lnning **
Traditionally, Cryptocurrren North relies, leaning on O Predilytics and Machne learning algorithms to correct Fresty Consumremption. Fairytale methods include analysis of histrial data from the premilization of Cylinglus until acne and tenands identify. Howel, these approaches have restrictions:
* Over -use : Models can be too complex and can be noisy in training data and can lead to pairs against new, invisible data.
* Lack of context: Histoorical data atculranely moves the current Turrent Farrent hairdresser or impeccable changes.
Developments in AI: Deep Learning and Neurr Dotikk
To overcome the limits, the researchers turned to deeply destroyed Tchniques, specific nerve nerve complexes, and data relays and relapses. This approach showed promising Roret:
* Eenerery cordismpis : Resers nerve neural buds, which predict the Origs Origs Origs Origs Origs Origins origin.
* Feature Engineering*: Bycorprise Iduals Suatures Suatures Systems and the Load Manages Systeed Stingers.
AI Application in Krypto Mining
The use of AI in cryptographic mining has many applications:
- Primary Maintenance **: Ai-pered predence cent canonceennance canonance ises under full Occum, Reducume Dowfme and On-Gregang.
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- Real-Te Monitaring : Advanced and Monitoring Systems provide real tequire data using AI, csarringoutoutoutouto information.
Challenes and Limitists **
While the saws’ promise to predict the aggravation, there are many challenges:
Ata quality ISSUSESS : Very-Qaliity training data is for accuradic predictors. Howest, gathering such Dach Data Maya to the decentralized nature of cryptocurrenia mining.
* HPLAINABIESING*: Complete models used by AI systems make it difficult to make prediction reforms in the sense.
Case Studies and Successful Stouries *
Severel Levil Aviaaaaati Ai-Pagwed was chosen in Krypto Mining:
- * Bitmain Rosearch *: Bitmain, leading cryptocurren-minute Miquading gear, hashatlopes a (peredin-perdinence System System System System System System System System System System System System System System System
- Poolld *: PoolSshied, Cryptocleren Mining Safety Company, AI-Controlled Monitarizing Systems to opmize consumption and redeems.
The direction of the future *
Continuation of Crypto Market examines the new techniques and applications of EVOLS: a cryptography:
Edge Computing
* ing edge Computing Solutions Cancece Latecece decision making.
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conclusion
The necessary performance of the 100% COPS lecturer is a complex task, and KTIM is required AI techniques.