• To train of people that create value in organizations through the application and development of AI techniques, interaction in multidisciplinary, and technological leadership
• To generate and adapt knowledge and innovative technologies in AI through students’ research projects applied to products, processes or services
• To strengthen countries technological capacity in state-of-the-art technology, such as AI, thereby combating technology dependence

Computer science professionals, such as interns, consultants, instructors or researchers that wish to develop or update their AI knowledge and techniques.

Professionals working in electronics, electrical, mechatronics, communications, mathematics, physics and other areas who wish to complement their training with AI.

Professionals that deploy, adapt or propose models and techniques of AI to solve real world issues. That estimate desirability of proposed to use AI techniques, as well as the possible impact in economy, society, environment, and ethics.

For more information here

Advancing Hyper-Heuristic Research for Solving Optimization Problems, basic science-CONACyT, (2015-2017), responsible: Hugo Terashima Marin

Development of hyper-heuristic methods using bio-inspired techniques for solving optimization issues such as: material cutting and packaging, constraint satisfaction, routing of vehicles, production and events scheduling and scheduling of events. The former issues have great theoretical and industrial impact.

Participants: Hugo Terashima Marín, Manuel Valenzuela Rendon, Santiago E. Conant Pablos and Jose Carlos Ortiz Bayliss, PHD students, masters and Bachelor Degree. Collaboration: U. of Nottingham (UK), U. of Stirling (UK), U. of Napier-Edinburgh (UK), IT de Leon.

Development of autonomous platforms with probabilistic reasoning, semantic, and causal (CB-2011-01-167460), responsible Hector Ceballos The project goal is to develop a simplify BDI agent architecture assist people in their daily activity. Human activity and agent intervention are modeled using BPMN process diagrams which are then semantically recorded. This activity allows a knowledge representation to exploit government data sources (Linked Data) for goal achievements.

The BPMN diagram is used for learning the dynamics of the activity through observation, as well as to infer probabilistically on the current situation of the activity. This development of applications methodology can be used in Intelligent Cities scenarios.

Participants: Hector G. Ceballos, Victor Flores Solorio (MIT), Eduardo Alejandro Fernandez (MIT), Jorge Espinosa (MIT), Manuel Rodriguez Mancha (DTC). Collaborators: Juan Pablo García (UABC)

• Knowledge Technologies, Autonomous Actors and Ambient Intelligence, which examine issues related to automated handling of representing knowledge ontologies, coordination of intelligent autonomous entities, as well as the integration of intelligent environments that include multiple sensors and processors
• Robotics, vision, and autonomous vehicles that study the design of land, sea, and air mobile robots and high-tech vehicles that use computational vision algorithms
• Evolutionary Computation, studying evolutionary computation techniques such as genetic algorithms, simulated annealing and neural networks to efficiently resolve logistical problems – such as the task scheduling, routing, distribution, forecasts, cutting and packing of materials with less user intervention and bioinformatics (systems inspired by nature), which focuses on the design and identification of biomarkers in medicine and other areas, using molecular data including genomes and genes, proteins or metabolites, image data including x-rays, MRI, ultrasound, PET or TAC or clinical data, among others. In the analysis are used to design and implement computational algorithms of automatic learning, optimization, pattern recognition, image analysis and data mining.

For more information here

Internal

• Project of Evolutionary Computation
• Project of Autonomous Agents in Ambient Intelligence
• Project of Autonomous Vehicles
• Cell of Incubation
• Detection and Remote Pre-Diagnosis of Cancer by Artificial Intelligence
• Incubation Cell AMITEC
• Safety System for Ambient Intelligence
• Robotics Laboratory of the Northeastern and Central Mexico

External

• Basic Science Project with Conacyt 128163
• Use of Frames to Convert Text to Semantic Networks
• Robotics Laboratory of the Northeastern and Central Mexico
• Project Conacyt – Combinations of Evolutionary Computation and Other Techniques to Solve Problems of Material Cut and Data Mining in Image Databases
• Project Conacyt – Working Towards the Generality of Hyper-Heuristics for Optimization Problems

International

• Project Google – Remote Detection and Prediagnosis of Microcalcification Clusters in Mammograms
• Project Laccir – Building a Database of Researchers in Latin America and the Caribbean

Please download the information here

• University of Oviedo http://www.uniovi.es
• University of Girona http://www.udg.edu
• University of Valencia http://goo.gl/UxrjVk
• Chalmers University of Technology http://goo.gl/9qkvWm
• University of Queensland http://www.uq.edu.au
• Aalto University School of Sciences and Technology http://www.aalto.fi/fi/
• Oregon State University http://oregonstate.edu
• Grenoble École de Management http://en.grenoble-em.com
• Copenhagen Business School http://www.cbs.dk