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Abstract A key notion in linguistics is that of syntactic movement. I will show that this notion and the further theoretical observations and generalizations regarding movement are useful in accounting for language impairments. I will describe syntactic …

Abstract Using a multimodal approach, one can leverage the spatial resolution of neuroimaging methods with the high temporal resolution and precise anatomical information of intracranial recordings and the causal evidence from direct intracranial …

Abstract Our understanding of numbers, vital to our scientifically and technically advanced culture, has deep biological roots. Research across developmental psychology, anthropology, and animal cognition suggests that our ability to count symbolically …

Abstract How does the brain transform words into meaning? By aligning insights from linguistics, neuroscience, and Large Language Models (LLMs), we observe that AI models and the human brain surprisingly converge on similar representational principles. …

Abstract After a brief synthetic introduction to the Global Neuronal Workspace (GNW) theoretical framework, I will show how the exploration of conscious state and conscious access in extreme neurological or physiological conditions can be mutually …

Abstract The Global Neuronal Workspace (GNW) theory (Baars, 1988; Dehaene et al., 1998) proposes that information must be broadcast across widely distributed networks to enter conscious awareness. But what exactly is the information that is exchanged? I …

Abstract Visual scene understanding requires much more than a list of the objects present in the scene and their locations. To understanding a scene, plan action on it, and predict what will happen next we must extract the relationships between objects …

Chair: Philippe Aghion Abstract AI techniques were introduced long ago in the field of government and regulation, and are now being deployed at high speed in all branches of law, considerably transforming the tools and logic of administrative and judicial …

Chair: Philippe Aghion Abstract Between structural opposition and reciprocal attraction, AI and culture maintain chaotic links. If (re)conciliation is necessary, the law must encourage the emergence of an ethical and competitive market, respecting the …

Chair: Philippe Aghion Abstract Information technology is in the midst of a revolution, where ubiquitous data collection and machine learning are impacting the human world as never before. The term "intelligence" is used as a North Star for the …

Chair: Stéphane Mallat …

Chair: Xavier Leroy Abstract This lecture offers a reflection on the growing role of machine learning in contemporary music creation, at the intersection of artistic intuition and mathematical formalization. Drawing on my work in computational creativity, …

Chair: Xavier Leroy …

Chair: Xavier Leroy Abstract In contrast to comparisons between human minds and computing machines, I propose to consider the "artificial intelligence" as a "intellectual technology", which shapes and deforms our minds. If the digital revolution …

Chair: Xavier Leroy Abstract  It is often assumed that as AI makes regular progress in solving more and more problems in various areas, it approaches, asymptotically, the ultimate goal of artificial general intelligence (AGI). If AGI is understood as …

Knowledge of Sanskrit essential. …

Abstract The relevance of the critical method to the critique of capitalism lies in its ability to articulate reason and history to analyze contemporary social structures. Drawing on Kant and Marx, this approach examines the foundations of modern …