Sebastian Buschjäger

Many state-of-the-art stream learning methods are ill-suited for embedded systems, with some exceeding memory budgets almost immediately or growing unsustainably over time.

Pruning can slash energy consumption in time series classification by 80% without significantly sacrificing accuracy, paving the way for greener AI.