RIIAA 2.0

International Meeting on Artificial Intelligence and its Applications
29 – 31 of August 2019

Mexico City, México

Do you want to participate as an assistant, panellist, and/or summer school* student? *Summer school will be in SpanishCall for applications will open soon!

RIIAA brings together the Mexican and Latin American artificial intelligence (AI) ecosystem.

Emphasizing the interaction between actors based in Mexico and abroad, as well as the academic and industrial communities, in order to catalyse the development, adaptation and use of AI in the country.

Coming Soon.
Follow RIIAA via live streaming!

RIIAA 2.0

International Meeting on Artificial Intelligence and its Applications

29 – 31 of August 2019

Mexico City, México

Do you want to participate as an assistant, panellist, and/or summer school* student? *Summer school will be in SpanishCall for applications will open soon!

RIIAA brings together the Mexican and Latin American artificial intelligence (AI) ecosystem.

Emphasizing the interaction between actors based in Mexico and abroad, as well as the academic and industrial communities, in order to catalyse the development, adaptation and use of AI in the country.

Coming Soon.
Follow RIIAA via live streaming!

Sponsor RIIAA 2.0

GOLD

SILVER

VENUE PARTNER

LOGISTIC PARTNER

What is RIIA ?

The second International Meeting on Artificial Intelligence and its Applications (RIIAA @ MEX 2.0) will be held in Mexico City from the 29 to 31 of August, with the aim of catalysing the development and use of Artificial Intelligence (AI) in the country and in Latin America.

Looking to the future and recognizing an increasingly transformative role for AI, the RIIAA is organized by a group of Mexican students, academics, and professionals seeking to bring together existing communities and groups in the field. Originated from a meeting at the NeurIPS , conference, this meeting aims to be an important complement to other conferences, emphasizing the interaction between groups based both in Mexico and abroad, as well as between the communities dedicated to research and practice.

The meeting will have panels dedicated to a wide spectrum of topics, from the development of theory to relevant applications for civil society , the public sector and Mexican industry.

It will also feature lectures and summer school for university students that will take place on August 28 and 29.

We hope to have a diverse group of participants: on the one hand, academics and research groups from Mexican and foreign institutions; on the other, university students, government representatives and industry professionals.

Keynotes at
RIIAA 2.0

Yoshua Bengio

Professor University of Montreal,
Canada Research Chair
in Statistical Learning Algorithms.

Jorge Nocedal

Walter P. Murphy Professor,
Northwestern University.

Alan Aspuru Guzik

Professor University of Toronto,
Canada Research Chair
in Theoretical Chemistry.

Saiph Savage

Director of Human
Computer Interaction Lab,
West Virginia University.

Meire Fortunato

Research Scientistat Google DeepMind.

Pablo Castro

Google AI.

Program
RIIAA 2.0

29 – 31 of August 2019
Mexico CityMéxico.

Live Stream
RIIAA 2.0

29 - 31 of August 2019
Mexico CityMéxico.

29 – 31 of August 2019
Mexico CityMéxico.

RIIAA Summer School
Courses on ML, DL, RL y Optimización.

For the second edition of the  RIIAA summer school we intend to offer a series of courses, from basic concepts to more advanced topics on machine learning (ML), deep learning (DL), reinforcement learning (RL), optimization, among others.

RIIAA Summer School
Cursos en ML, DL, RL y Optimización.

For the second edition of the  RIIAA summer school we intend to offer a series of courses, from basic concepts to more advanced topics on machine learning (ML), deep learning (DL), reinforcement learning (RL), optimization, among others.

 

Workshops
Summer School

Benjamin Sanchez 
Lengeling

Chemistry and Chemical
Biology, Harvard

Talleres:

· Introduccion a Machine Learning y Deep Learning.

· Procesos Gaussianos

· Graph networks

· Deep Generative Models (VAE/GAN)

Ximena Gutierrez Vasques

Facultad de Ingeniería, UNAM

Taller:

· Procesamiento de Lenguaje Natural (NLP)

Victor
Mijangos

Escuela Nacional de Antropología e Historia, UNAM. Ciencia de Datos, ITAM.

Taller:

· Procesamiento de Lenguaje Natural (NLP)

Miguel Angel Núñez Ochoa

Neurophysiology and Neurochemistry Lab, UdG

Taller:

· Introducción a inferencia Bayesiana

Jennifer Enciso
García

Centro de Ciencias de la Complejidad (C3), UNAM. Centro de Investigación Biomédica de Oriente (CIBIOR), IMSS

Taller:

· Procesos de decisión de Markov y Aprendizaje Reforzado

Stalin Muñoz
Gutiérrez

Centro de Ciencias de la Complejidad (C3), UNAM

Taller:

· Procesos de decisión de Markov y Aprendizaje Reforzado

· Algoritmos Evolutivos

Antonio
del Rio Chanona

Assistant Professor (2020), Imperial College

Taller:

· Algoritmos evolutivos 

Saiph
Savage

Director of Human
Computer Interaction Lab,
West Virginia University

Taller:

· Complejidad y el Futuro del Trabajo

Alfredo
Morales

Assistant Professor at NECSI and Visiting Scholar at MIT Media Lab

Taller:

· Complejidad y el Futuro del Trabajo

Andong Luis Li
Zhao

College of Engineering, University of Michigan

Taller:

· Sistemas de Recomendación

Rodolfo Ferro

 Future Lab y Lab León (Profesional), Universidad de Guanajuato / Centro de Investigación en Matemáticas A.C. 

Taller:

· CNNs para API para reconocimiento en imágenes

Erik Zamora

Profesor Titular C, Centro de investigación en Computación, Instituto Pólitécnico Nacional. Cofundador de Actumlogos

Taller:

· Detectando personas en imágenes usando Deep Learning

Ricardo Montalvo Lezama

 IIMAS, UNAM

Taller:

· Aprendizaje Multitarea en Redes Neuronales

Aaron
Sonabend

Depatment of Biostatistics, Harvard University

Taller:

· Aprendizaje reforzado (Reinforced Learning) +Open AI

Berenice Montalvo
Lezama

 IIMAS, UNAM

Taller:

· Aprendizaje Profundo (Deep Learning)

Adrian Pastor López Monroy

  Departamento de Ciencias de la Computación, CIMAT

Taller:

· Deep Learning for Text Mining

Jesús Salvador Ramos Cardona

 Fundador de AI x Social Wealth Lab (AIxSW), Fundador de The Data Pub, SVP de Desarrollo de Negocio, Sociedad Mexicana de Ciencia de Datos.

Taller:

· Ética e Interpretabilidad en IA

León Felipe Palafox Novack

 Facultad de Ingeniería, Universidad Panamericana

Taller:

· Construcción de Modelos Adversarios usando Keras

Mariano J. J. Rivera Meraz

Departamento de Ciencias Computacionales, CIMAT

Taller:

· Transferencia de conocimiento

Max Sánchez

UNAM

Taller:

· Deep Learning Datos Secuenciales

Fernando Fortanel

UNAM

Taller:

· Deep Learning Datos Secuenciales

Organizers
RIIAA 2.0

Antonio del Rio
Chanona

Academic and Summer School Coordination

Centre for Process
Systems Engineering,
Imperial College London

Enrique Garduño
Olivas

Logistic and Financial Coordination

CEO Sky Sense

Andres Campero

General Coordination

Brain and Cognitive Sciences,
Artificial Intelligence Laboratory,MIT

Alejandro Noriega
Campero

Coordination of AI for the Social Good and Ecosystem of AI in Mexico

Media Lab, and Institute for Data,
Systems and Society, MIT

Benjamin Sanchez
Lengeling

Summer School Coordination

Chemistry and Chemical Biology, Harvard

Jennifer Enciso
García

Coordination in Social Networks and Media, and Summer School

Centre of Complexity Sciences (C3), UNAM. Biomedical Research East Centre (CIBIOR), IMSS

Stalin Muñoz
Gutierrez

Summer School Coordination

Centre of Complexity Sciences (C3), UNAM

Ximena Gutierrez Vasques

Coordinator of Computer Vision and Speech Recognition, and Summer School

School of Engineering, UNAM

Andrea Gayon
Lombardo

Coordinator for AI in Science, and Engineering

Department of Earth Science and Engineering Imperial College London

Miguel Angel
Nuñez Ochoa

Coordination of academic activities

Neurophysiology and Neurochemistry Lab, UdG

Oscar Mendez Lucio

Coordinator for AI in Science and Engineering

Early Toxicology Team, Bayer CropScience

Dhyan Adler-Beléndez

Web Coordination

Mathematics education research, Harvard University

Andrés Guevara

Financial Coordination

PhD candidate in Optics, University of Rochester

Organizers +

Boris
Escalante

General Coordinator
CViCom UNAM