Natalia Echeverri Durán

Estudiante @ Universidad de Antioquia, Grupo de Instrumentacion Cientifica y Microelectronica

About

Hello! I am Natalia, a final-year Physics student at Universidad de Antioquia (Colombia), and I am currently taking an AI bootcamp. I am passionate about applying machine learning and data science to real-world problems, from physical systems to behavioral data. I believe physics teaches you to see the world through patterns and equations, and AI gives you the tools to act on them.

Workshop

Machine LearningScientific Computing

hls4ml: From Python Models to Hardware Acceleration

FORMAT: WorkshopLEVEL: IntermediateLANGUAGE: Spanish

This session presents a journey from developing machine learning models in Python to their implementation in hardware through the hls4ml tool. The goal is to show how models built in widely used frameworks such as TensorFlow, Keras, or PyTorch can be transformed into efficient hardware descriptions for deployment on reconfigurable devices. The complete workflow will be covered, including model preparation, conversion to High Level Synthesis (HLS) code, and the main hardware optimization criteria such as quantization and precision reduction. The trade-offs between latency, energy consumption, and model accuracy will also be discussed.

Jeronimo Lopez Gomez

Estudiante, Joven Investigador @ Universidad de Antioquia, Grupo de Instrumentacion Cientifica y Microelectronica

Natalia Echeverri Durán

Estudiante @ Universidad de Antioquia, Grupo de Instrumentacion Cientifica y Microelectronica

View talk

Want to know more?

Join PyCon Colombia newsletter and get a complete overview of our events, speakers and community participation.