Artificial Intelligence for Science, Industry and Society (AISIS2019)
PROGRAM DETAILS: https://indico.cern.ch/event/781223/timetable/#20191021.detailed
¿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.
Second bulletin
- June 2019 -
The main Auditorium for the event will be in the Facultad de Ciencias.
(PDF version of the third bulletin)
(PDF version of the second bulletin)
(PDF version of the first bulletin)
• News
This bulletin updates the previous one with the following, new information:
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Updated deadlines
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Information on support for young researchers
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Hotel information
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Payment information
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Confirmed sponsors
• Overview
Dear colleagues, it is our pleasure to announce the Symposium: Artificial Intelligence for Science, Industry and Society (AISIS2019) which will take place in Mexico City, Mexico, from October 21 to 25, 2019. The symposium is organised jointly by CERN openlab [1] and the Universidad Nacional Autónoma de México (UNAM, [2]), and it includes a session organised by the OECD (Paris, [3]) about policy and social issues linked to AI. The conference website can be found at http://aisis2019.nucleares.un
[1] http://openlab.cern [2] https://www.unam.mx [3] http://www.oecd.org
• Venue
The symposium will take place at the main campus of the Universidad Nacional Autónoma de México.
• Contact details
In case of any questions, please contact the organizers at:
ai-symposium-2019@correo.nucleares.unam.mx
• Scope
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Reinforcement learning – from pattern recognition to experience-driven decision making;
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Natural language processing, simultaneous translation;
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The teaching of ML and quantum computing at different levels;
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Computing resources requirements in different domains and scientific disciplines;
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The future of large data analytics;
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Collaborative systems and human-machine interactions;
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Algorithmic game theory and computational social choice;
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Quantum and classical algorithms for deep learning and AI;
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Perspectives beyond the current horizon.
The symposium will devote special attention to the following ethical and societal issues:
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Transparency: to which extent is it possible to explain and verify the algorithms;
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Choice assistance: can AI provide appropriate support for user choice?
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Governance and control: can AI powered systems still be controlled by humans?
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Security, robustness and dependability of AI networks;
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Safety: how to make sure that AI systems do not cause harm to humans or property;
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Privacy: how to ensure data protection in the AI world;
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Ethics and accountability: respect of human values and attribution of responsibility;
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Policy-regulated access to data – what data is accessible to machines, and under what licencing arrangements (an important consideration given that data is a vital input to the process of machine learning);
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New policies and regulatory tools to be developed in order to address new needs related to digitalisation, open science, and open innovation.
The Symposium will be comprised of five plenary sessions of invited talks, one plenary session organized by the OECD, two parallel tracks for contributed talks spread over a total of four sessions, and a dedicated poster session. Prizes for the best poster will be awarded, and the best posters will be offered the chance to give a brief summary talk.
• Keynote speakers
We are very happy to announce the distinguished speakers who have accepted our invitation to give a keynote presentation:
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Dan Fagella: AI innovation in the Pharmaceutical Sector- Accelerating Research
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Ulises Cortes: Trustworthy AI
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Zeljko Ivezic: Upcoming Big Data and AI challenges in Astronomy
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Pablo Meyer: Leveraging AI Communities as Innovation Engines in Life Sciences
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Jesús Savage: Robotics and Computer Vision
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Mirjana Stankovic: Intellectual Property, Digital Identity and Data Regulations
• Registration fee and registration process
The registration fee for the symposium is 500 USD. A reduced fee of 450 USD applies if paid before August 31, 2019. The full fee for accompanying persons is 80 USD. The fee includes a welcome drink, lunches, coffee breaks, and the conference banquet. Payments can be made by bank transfer as detailed below. The registration status on the INDICO website will be changed to “complete” by our administrative staff after your payment is received. Regular invoices will be distributed at the registration desk upon arrival in Mexico.
Registration is open until October 15, 2019 at https://indico.cern.ch/e/aisis2019
• Support for students
¿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.
• Payment options
Payment information is available on the indico page at https://indico.cern.ch/event/781223/page/17713-fee-payment-information.
• Call for abstracts
• Proceedings
Conference proceedings will be published in electronic form on an open access journal.
• Hotel information
Participants are kindly requested to directly book their rooms in Mexico. We provide a list of hotels which have agreed to special prices for the Symposium. The recommended hotels are within easy reach of the University. We suggest not to book hotels in the center to avoid long transportation.
The approximate exchange rate at the time of writing is around 19 Mexican Pesos for 1 USD, and around 21 Mexican Pesos for 1 €.
Note: There will be a Formula 1 racing event in Mexico City October 25-27. We suggest to book hotels well in advance before they become full.
Recommended Hotels
Hotel El Diplomático
Located on the metrobus line to the UNAM
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Standard single or double room (1 or 2 persons)
$1,030.00 MXN per night [about 55 USD] -
Suite:
$1,080.00 MXN per night [about 55 USD] -
Extra person, up to 4 occupants: $200 MXN per night [about 10 USD]
Contacts: Jessica Eslava or Mirosalva Villalobos,
+52 55 5563.60.66
reservaciones@eldiplomatico.com.mx
reservas@eldiplomatico.com.mx
Event code: “Evento Inteligencia Artificial“
Web: https://www.eldiplomatico.com.mx/
Holiday Inn Ciudad de México Trade Center
Located near Metro “San Antonio”, one change to get to the UNAM.
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Single/Double:
$1,725.00 MXN w/o breakfast [about 90 USD],
$2,028.00 MXN with breakfast [about 105 USD]
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Tripple:
$1,966.00 MXN w/o breakfast [about 100 USD],
$2,153.00 MXN with breakfast [about 110 USD]
Event code: “INTELIGENCIA ARTIFICIAL”
Hotel City Express
Located on the metrobus line to the UNAM
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Single
$1,547.00 MXN [about 80 USD] -
Double
$1,808.80 MXN [about 95 USD]
Breakfast included
Contacts: ceins.ventas@cityexpress.com.mx,
ceins.ventas1@cityexpress.com.mx,
ceins.ventas2@cityexpress.com.mx
Event Code: “INTELIGENCIA ARTIFICIAL”
Web: https://www.cityexpress.com/en/plus/hotels-mexico/ciudad-de-mexico/benito-juarez/insurgentes-sur
Alternative accommodation options
The standard booking sites for hotels also list hotels around the UNAM and with easy access by public transport. There are also apartments and rooms in the vicinity of the UNAM available on airbnb.
• Sponsors
Golden
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SinergiaSys / IBM
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ATOS
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Huawei Technologies / MR Solutions
Silver
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Veeam
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NVidia
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LUFAC
Regular
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T-Line / DELL
