Identifying Attention-Deficit/Hyperactivity Disorder through the electroencephalogram complexity

no code implementations • 21 Mar 2024 • Dimitri Marques Abramov, Henrique Santos Lima, Vladimir Lazarev, Paulo Ricardo Galhanone, Constantino Tsallis

The distribution of values in the $(c, q)$-space derived from $q$-statistics seems to be a promising biomarker for ADHD diagnosis.

EEG

Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI

1 code implementation • 31 Jul 2022 • Semen Budennyy, Vladimir Lazarev, Nikita Zakharenko, Alexey Korovin, Olga Plosskaya, Denis Dimitrov, Vladimir Arkhipkin, Ivan Oseledets, Ivan Barsola, Ilya Egorov, Aleksandra Kosterina, Leonid Zhukov

The size and complexity of deep neural networks continue to grow exponentially, significantly increasing energy consumption for training and inference by these models.