The Technological Institute of Tijuana now has the IT infrastructure they need to do top research on many real-world domains that require state-of-the-art machine learning and optimization techniques, including social sciences issues. In this area, for example, machine learning can allow Dr. Trujillo and their team to explore the immigration patterns of people that come to the border between Mexico and the USA, a particularly important problem for the city of Tijuana, since it is one of the largest and most important border cities in the world. IBM Power Systems have the performance they need for modern high performance computing and data-intensive workloads. With this technology, their goal is to generate computational models that can help classify and predict the immigration patterns of people that come to Tijuana and other border towns. They are also undertaking new research projects in related fields, such as evolving new AI algorithms from scratch, performing automatic code-repair and code improvement of software systems, understanding nanotechnology properties of new materials through machine learning, automatically generating computer vision algorithms, and developing powerful machine learning platforms for diverse domains. IBM Power Systems have the compute power they need as they take on other new research initiatives.
Dr. Trujillo and his team were pleasantly surprised how fast the learning curve was to get started. In a short amount of time, they were able to get their new high performance computing platform up and running to get started on new research projects. They were quickly able to deploy their research algorithms onto the new infrastructure quickly to get started on data initiatives.
The institute is now working on their next step in implementing IBM Watson Machine Learning Accelerator. Watson Machine Learning Accelerator makes deep learning and machine learning more accessible by combining open source deep learning frameworks with efficient development tools and accelerated IBM Power Systems servers. With Watson Machine Learning Accelerator, Dr. Trujillo and his team will have a complete environment for data science, enabling them to perform even more complex and impactful research. They will also have the scalability they need to handle deep learning on increasingly large data sets.
Furthermore, Dr. Leonardo Trujillo and his team are also looking at further expanding their partnerships and relationships with other research institutions and universities. With IBM Cloud Private and Power Systems at the center of their research infrastructure, collaboration with another institution will be even more effective than going at it alone. Their new infrastructure also helps solidify their status at a top research institution in Mexico and North America. The Technological Institute of Tijuana is looking forward to solving important social sciences issues with IBM Power Systems.