It was a pleasure having 2 of my colleagues at MICAI 2023 SMIA as keynotes😃: Christian Daul (through our ECOS Nord CONAHCYT grant) from Centre de Recherche en Automatique de Nancy (CRAN 🇫🇷) and Sharib Ali through our Worldwide Universities Network grant @WUNetwork (with

The call for mentors and interns of our LATAM Research Program is now open 🚀. Deadline for registration is December 20th 📷 latinresearchprogram.github.io/GoogleExploreC… We also have some available positions and mobility👏 Looking forward to this project and its outcome! 👏

📢 Exciting News! 🚀 Join us @ IEEE WCCI 2024 - IEEE CEC 2024 Special Session "Evolutionary Algorithms for Neural Architecture Search: From Theory to Practice" in Yokohama, Japan from June 30 - July 5. Learn more at wcci.llg.mx. #IEEEWCCI2024 #CEC2024 #AI #research

Here some of the mentos and mentees: Enzo Ferrante Luis S. Luévano, PhD Ivan Reyes Francisco Lopez-Tiro Daniel Flores Araiza (4/5)

For 5 consecutive weeks 🤩 Congrats Daniel Flores Araiza 🥳🥳🥳

🌞We are glad to announce a new venture: the lxcv coaching program! 🥳 💡Get to know the reseach done by LatinX researchers and become the new generation of researchers in Computer Vision and AI! Work along well-known professors and researchers around the world!

🚨 Hey everyone! Tomorrow we have the first informative session for our lxcv LatinX in AI (LXAI) coaching program😁 The idea is to inform you about the program and answer any questions your might have about it! We will also talk about our workshop #CVPR2026 #CVPR2024! The zoom link is

Conversamos en FRANCE 24 Español sobre las consecuencias de la #InteligenciaArtificial en la Unión Europea Ulises Cortés y su servidor. Aquí el video completo: france24.com/es/programas/e… SMIA Alianza Nacional de Inteligencia Artificial México Tecnológico de Monterrey TecScience Universitat Politècnica de Catalunya (UPC) BSC-CNS

¡Únete al 37th International Symposium on Computer Based Medical Systems 2024 en TEC Campus Guadalajara . ¡Regístrate ahora en 🔵bit.ly/3x4ESBW y únete a esta experiencia de vanguardia en el ámbito de la informática médica y biomédica!

Time to have some rest! We (CV-INSIDE Lab lab) and our collaborators from Universitat Politecnica de Catalunya, University of Leeds and Université de Lorraine we able to submit 9 (nine!) papers to IEEE IEEE Computer-Based Medical Systems! We are looking forward to meet you in Guadalajara 😁 Thanks to

¿Quieres saber cómo se aplica la #InteligenciaArtificial en el área médica? 🥼🩻🩺 Disfruta la entrevista que le realizaron al Dr. Beto Ochoa-Ruiz, especialista en Computer Vision and Robotics del Tec Campus GDL en radio Radio UAEH Huejutla 🎙️📻 Entrevista: fb.watch/rKsX8u4-4c/?mi… #RT

Super happy and proud 🤩 Our lab had 8 papers accepted IEEE Computer-Based Medical Systems! Really hard work of CV-INSIDE Lab PhD & MSc students : Francisco Lopez-Tiro Ricardo Espinosa Mansoor Alex Daniel Flores Araiza Ivan Reyes and many others 🥳🥳🥳! Collabs with colleagues @sharib from AI_in_Medicine_Surgery,

Tutorial on MLOPS (Machine Learning Operations) from CV-INSIDE Lab at #COMIA2024 organized by SMIA, glad to be here! Follow the tutorial on FB: fb.watch/stFsEzMdY8/

Daniel Flores Araiza Daniel Flores Araiza está en el Congreso Mexicano de IA SMIA presentando su trabajo en causalidad en clasificación de cálculos renales 😀 CV-INSIDE Lab lab present

We also had a roundtable with PhD studends from my CV-INSIDE Lab lab: Ivan Reyes Daniel Flores Araiza Francisco Lopez-Tiro Ricardo Espinosa who shared tips and insights as new comers (they attended CVPR 2022 the first time) Thanks to Ivan Reyes for helping to make this possible

Our article on Endoscopic Kidney Stone Recognition for the journal ESWA Expert Systems with Applications is finally out and you can access it here: Your personalized Share Link: authors.elsevier.com/a/1jU9j3PiGTTT… This project is being funded by a French Mexican Grant ECOS NORD

Explore the limitations of current interpretable machine learning methods and learn how to enhance model transparency. One of the authors of this open-sourse book is Christoph Molnar 🦋 christophmolnar.bsky.social, who is also renowned for his influential work on interpretable machine learning.

Our work on "Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition" by Daniel Flores Araiza is finally online (under consideration for a a journa!) Give it a look here --> arxiv.org/pdf/2409.12883

🔥 ¡Y además... SORTEO! 🔥 Para quienes os registréis al GTC entraréis a participar en el sorteo de un gran premio! 🎯 1. ¡REGÍSTRATE CON MI LINK! 👉nvda.ws/3kEfwop 🎯 2. RT a este hilo! 🎯 3. Asiste al menos a una de las sesiones 🎯 4. Completa el formulario!

Happy to share our Google AI Google DeepMind milestone of two nature publications today on Project AMIE - the art of the possible for empathic, conversational, diagnostic medical AI. AMIE exceeded Primary Care Physicians in a randomized comparison of simulated text-based