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Xavier Vasques on Muck Rack

Xavier Vasques

As seen in: Medium, Nature, Towards Data Science

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Xavier Vasques’s Biography

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Xavier Vasques is the IBM France Systems Hardware’s Technical Director and Mathematician and Head of Laboratoire de Recherche en Neurosciences Cliniques in France. The LRENC scientific goal is the development and use of fundamental science such as mathematics, neuroscience and medicine to apply to different scales of the brain. IBM Systems Hardware goal is to design architectures for cognitive business with analytics acceleration and data centric design build with collaborative innovation and d…

Xavier Vasques’s Journalist Portfolio

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Articles

Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment

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By Harith Akram, Jocelyne Bloch, Stephan Chabardes, Alfonso Fasano, Marwan Hariz, Joachim K Krauss, Andrea Kuhn, Patricia Limousin, Daniel E. Lumsden, Eduardo M. Moraud, Elena Moro, Martin M. Reich, Ludvic Zrinzo, Xavier Vasques, Laura Cif, Zohra Souei
| Nature Verified
Abstract Artificial intelligence (AI) is increasingly explored across deep brain stimulation (DBS) for movement disorders, yet whether current systems are approaching deployment remains unclear. To characterise their scope, validation maturity, and translational readiness, we systematically evaluated 239 peer-reviewed studies published between 2000 and 2025, assessing AI methods, validation practices, and barriers constraining clinical translation.
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[2503.09198] A 3d particle visualization system for temperature management

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By Nancy R Rodriguez, Nancy Rodríguez, William Puech, Xavier Vasques, Herve Rey
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Quantum Machine Learning with Python: Kernel Methods and Neural Networks

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By Xavier Vasques
| Towards Data Science
Quantum Machine Learning (QML) represents a fascinating convergence of quantum computing and machine learning technologies. With quantum computing’s potential in mathematics and data processing with complex structure, QML could revolutionize areas like drug discovery, finance, and beyond. This blog delves into the innovative realms of quantum neural networks (QNNs) and quantum kernel techniques, showcasing their unique capabilities through practical Python examples.
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