Feb 12 - AI, ML and Computer Vision Meetup en Español

Join our virtual meetup to hear talks from experts on cutting-edge topics across AI, ML, and computer vision.

Feb 12, 2026
9 - 11 AM Pacific
Online. Register for the Zoom!

AI On-Device: Potencia + Privacidad

Descubre como puedes aprovechar los modelos de AI para ejecutarlos directamente en tu dispositivo, ofreciendo velocidad, autonomía y privacidad real: los datos nunca abandonan tu teléfono. En esta charla veremos cómo funciona, qué posibilidades abre y por qué marca un antes y un después en la relación entre usuario y tecnología.

About the Speaker

Eury Pérez Beltré en Android con 14 años de experiencia en el sector. Ha trabajado con marcas como Under Armour, BeachBody, Citizen, AdAction, Mode Mobile entre otros.

The magic of video generation! (Spanish)

Video generation is no longer limited to cloud platforms like Google Veo3 and others!

You can also do it with open-source software—no cost and no restrictions!
In this talk, you’ll discover the node-based interface ComfyUI with models like Wan2.1. I’ll also give you a quick demo of an open-source extension I developed, which has gained huge popularity in the community in just one month (1.2k stars on GitHub).

All of this LIVE!

About the Speaker

Crystian Bietti apasionado por la tecnología en todos sus sabores.
Hoy: Maker especializado con IA Generativa (Audiovisual + Agentes + Automatización + Técnico + Ponente + Divulgador)
Ayer: Arquitecto de software de aplicaciones empresariales a gran escala.

Digital Twins: Building High-Fidelity Virtual Worlds from Real-World Data

Digital twins provide a powerful framework for creating high-fidelity virtual representations of real environments, enabling new forms of analysis, interaction, and decision-making. This talk will introduce the key principles behind building robust digital twins from real-world data, including capture workflows, reconstruction methods, and scalability considerations. I will present several use cases across domains such as cultural heritage, industrial environments and operations, virtual production, and interactive or gamified applications, illustrating how digital twins deliver measurable value in diverse contexts. The session will highlight how these models can integrate with computational pipelines, opening the door to applications that require high realism and scientific reliability. This general overview will establish a foundation that accommodates deeper exploration of specific applications during the live presentation.

About the Speaker

Rubén Bernardino is an industrial engineer with nearly 30 years of international experience in engineering, cultural heritage, and emerging media technologies. As the founder and Project Lead at Dronícola, he develops high-fidelity digital twins and spatial-computing workflows that combine drones, LiDAR, photogrammetry, artificial intelligence, and game engines such as Unreal Engine for applications in virtual production, immersive environments, training, and smart-industry operations. His background includes senior engineering roles at General Motors, Ford, and Fiat Chrysler, complemented by studies in digital innovation and XR technologies at Stanford, Wageningen, and Picterra University.

A Practical Pipeline for Synthetic Data with Nano Banana Pro + FiftyOne

Most computer-vision failures come from the rare cases, the dark corners, odd combinations, and edge conditions we never capture enough in real datasets. In this session, we walk through a practical end-to-end pipeline for generating targeted synthetic data using Google’s Nano Banana Pro and managing it with FiftyOne. We’ll explore how to translate dataset gaps into generation prompts, create thousands of high-quality synthetic images, automatically enrich them with metadata, and bring everything into FiftyOne for inspection, filtering, and validation. By the end, you’ll understand how to build a repeatable synthetic-first workflow that closes real vision gaps and improves model performance on the scenarios that matter most.

About the Speaker

Adonai Vera - Machine Learning Engineer & DevRel at Voxel51. With over 7 years of experience building computer vision and machine learning models using TensorFlow, Docker, and OpenCV. I started as a software developer, moved into AI, led teams, and served as CTO. Today, I connect code and community to build open, production-ready AI, making technology simple, accessible, and reliable.