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Characterization of energy need of Machine Learning algorithms

Reference persons MICHELA MEO

Research Groups Telecommunication Networks Group

Description The objective of the thesis is the analysis of energy cost of some algorithms of ML. By identifying the energy need of various tasks (training, testing, prediction, decision making, ...), it is then possible to design solutions that improve energy efficiency by adapting tasks to energy availability and cost.

Required skills - Python
- Buona conoscenza di alcuni algoritmi di ML

Notes An average exam score of more than 28 is requested.


Deadline 02/02/2024      PROPONI LA TUA CANDIDATURA




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