Device-detected Atrial Sensing Amplitudes As a Marker of Increased Risk for New Onset and Progression of Atrial High-Rate Episodes
Heart Rhythm(2024)
Policlin St Orsola Malpighi | Humanitas Gavazzeni | Osped Martini & Maria Vittoria | Spedali Civil Brescia | Fdn IRCCS San Gerardo dei Tintori | Osped Misericordia | Osped Infermi | ASST Grande Osped Metropolitano Niguarda | Arcispedale Santa Maria Nuova | Osped Santa Chiara | Osped Carlo Poma | Osped Cirie | Osped Circolo Varese | Azienda OU Policlin G Rodolico San Marco | Azienda Osped Univ Integrata Verona | Univ Vanvitelli AO Monaldi | Osped Bolognini | Azienda Osped Univ Parma | Univ Bari Aldo Moro | Osped Bentivoglio | Osped Apuane | Clin Montevergine | Osped Santa Maria Annunziata | Osped Pugliese Ciaccio | Osped Santa Maria Nuova | Osped Santa Maria della Pieta | Biotronik Italia Spa | Maria Cecilia Hosp
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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