Welcome to the Symposium on
Artificial Intelligence for Science, Industry and Society
EXTENDED: early bird discount deadline is now September 13, 2019
REGISTRATION OPEN UNTIL OCTOBER 15
IMPORTANT: SUPPORT FOR STUDENTS AND YOUNG RESEARCHERS
*********Gracias a los patrocinadores del evento, se ha reservado fondos para apoyar la participación de investigadores jóvenes y estudiantes, cubriendo la cuota de registro al evento. Se convoca a estudiantes y aquellos participantes que hayan recibido su doctorado en los últimos tres años a postularse para este apoyo, de acuerdo con los lineamientos publicados en la página del evento: deben enviar una carta de motivos y una carta de su asesor, tutor o líder del grupo al cual se está adscrit@, apoyando tu solicitud al correo: email@example.com Las notificaciones de quiénes serán apoyados se enviarán tan pronto como se complete el presupuesto asignado para este rubro**********
****Thanks to the conference sponsors, funds have been set aside to support the participation of young researchers at AISIS2019 by waiving the registration fee. Students and participants who have received their PhDs within the past three years are encouraged to apply for support according to the guidelines posted on the website: send a letter explaining why you need support and a letter from your tutor or research group leader endorsing your application to the email: firstname.lastname@example.org . Support decision notifications will be sent as soon as the budget assigned for this matter is fully covered. ****
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.