427 citations
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR16 papers
- InsermFR16 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- CEA Paris-SaclayFR10 papers
- Université Paris-SaclayFR8 papers
- Université Paris CitéFR5 papers
- Centre Inria de SaclayFR4 papers
- Assistance Publique – Hôpitaux de ParisFR3 papers
- Boston UniversityUS3 papers
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- Centre d'Acquisition et de Traitement des ImagesFR2 papers
30 papers
Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and Power
Travis LaCroix, Fintan Mallory, Sasha Luccioni
This paper examines the strategic use of language in contemporary artificial intelligence (AI) discourse, focusing on the widespread adoption of metaphorical or colloquial terms li…
Left-right asymmetry in predicting brain activity from LLMs' representations emerges with their formal linguistic competence
Laurent Bonnasse-Gahot, Christophe Pallier
When humans and large language models (LLMs) process the same text, activations in the LLMs correlate with brain activity measured, e.g., with functional magnetic resonance imaging…
Protein aggregation in Huntington's disease
Guylaine Hoffner, Philippe Djian
The presence of an expanded polyglutamine produces a toxic gain of function in huntingtin. Protein aggregation resulting from this gain of function is likely to be the cause of neu…
Millennium Pathways for Tractography: 40 grand challenges to shape the future of tractography
Maxime Descoteaux, Kurt G. Schilling, Dogu Baran Aydogan +44
In the spirit of the historic Millennium Prize Problems that heralded a new era for mathematics, the newly formed International Society for Tractography (IST) has launched the Mill…
Decoding individual words from non-invasive brain recordings across 723 participants
Stéphane d'Ascoli, Corentin Bel, Jérémy Rapin +4
Deep learning has recently enabled the decoding of language from the neural activity of a few participants with electrodes implanted inside their brain. However, reliably decoding…
Validation of a new, minimally-invasive, software smartphone device to predict sleep apnea and its severity: transversal study
Justine Frija, Juliette Millet, Emilie Bequignon +8
Obstructive sleep apnea (OSA) is frequent and responsible for cardiovascular complications and excessive daytime sleepiness. It is underdiagnosed due to the difficulty to access th…