Welcome to the Symposium on
Artificial Intelligence for Science, Industry and Society
Proceedings: https://pos.sissa.it/372/
PROGRAM DETAILS: https://indico.cern.ch/event/781223/timetable/#20191021.detailed
The symposium will take place on 21-25 October 2019 at the Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico. The conference is organized by the Instituto de Ciencias Nucleares, the Coordinación de la Investigación Cientifica (UNAM), and the CERN openlab. The policy aspects will be organised by the OECD.
The recent progress in Artificial Intelligence and Machine Learning has provided new ways to process large data sets. The new techniques are particularly powerful when dealing with unstructured data or data with complex, non-linear relationships, which are hard to model and analyse with traditional, statistical tools. This has triggered a flurry of activities both in industry and science, developing methods to tackle problems which used to be impossible or extremely hard to deal with.
Due to this situation, we are proposing to organise a meeting where the following key elements would be covered:
- The progress of AI in several scientific domains connected with big data like astro physics, high energy physics, astronomy, and life sciences
- The service providers with their hardware and software developments
- The policy aspects of the AI implementation.
The meeting is oriented towards scientists and educators as well as industry and policy makers in R&D.
¿Eres estudiante y quieres asistir a AISIS 2019? ¡Tenemos un descuento para ti! He aquí los requisitos:
1) Regístrate en INDICO: https://indico.cern.ch/event/781223/registrations/48830/
2) En la sección "Financial support", da click y describe tus motivos para solicitar apoyo financiero. Añade ahí tu credencial VIGENTE de estudiante o tu carta de tutor.
3) En el momento del pago, sólo pagarás la cuota de $1,000 pesos MN. Con ello tendrás acceso a las actividades académicas (ponencias y plenarias) de AISIS2019. Si no puedes pagar en línea, también podrás hacerlo en la mesa de registro que estará dispuesta el primer día del evento (21 de octubre). DE TODOS MODOS, ¡NO DEJES DE REGISTRARTE EN INDICO!
4) Si tienes conocimientos avanzados en Python/Pytorch/Numpy, inscríbete GRATIS en el tutorial avanzado en Machine Learning: http://epistemia.nucleares.unam.mx/web… ! Cupo limitado.
