Planning

Week List

	Wed. 06	Thu. 07
09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00	Reception 9:15 - 9:45 (30min) Reception V. Maume-Deschamps - AMIES presentation. 9:45 - 10:00 (15min) V. Maume-Deschamps - AMIES presentation. S. Melaine - Introduction to deep learning and data mining. 10:00 - 11:00 (1h) S. Melaine - Introduction to deep learning and data mining. A. Tsygvintsev - Nonlinear dynamical systems, chaos theory and artificial neural networks: obstacles and opportunities 11:00 - 12:00 (1h) A. Tsygvintsev - Nonlinear dynamical systems, chaos theory and artificial neural networks: obstacles and opportunities Lunch 12:00 - 13:30 (1h30) Lunch D. Menéndez Hurtado - Machine learning aids in the prediction of protein structures. 13:30 - 14:30 (1h) D. Menéndez Hurtado - Machine learning aids in the prediction of protein structures. L. Franco - Applying Deep Learning to Biomedical Problems. 14:30 - 15:30 (1h) L. Franco - Applying Deep Learning to Biomedical Problems. Break 15:30 - 16:00 (30min) Break S. Marino - Compressive Big Data Analytics - CBDA. 16:00 - 17:00 (1h) S. Marino - Compressive Big Data Analytics - CBDA. W. Ritchie - AI, Genomics and Medicine. 17:00 - 18:00 (1h) W. Ritchie - AI, Genomics and Medicine. Brain storming 18:00 - 18:30 (30min) Brain storming	M. Prodel - Advanced data analyses in cancerology using large databases: examples using the French SNDS. 9:00 - 10:00 (1h) M. Prodel - Advanced data analyses in cancerology using large databases: examples using the French SNDS. L. Thomas - Artificial intelligence and skin cancer diagnosis: achievements and unsolved questions. 10:00 - 11:00 (1h) L. Thomas - Artificial intelligence and skin cancer diagnosis: achievements and unsolved questions. Break 11:00 - 11:30 (30min) Break E. Guichard - AI: dreams and philosophical opportunities 11:30 - 12:30 (1h) E. Guichard - AI: dreams and philosophical opportunities

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