1/ 🎉 Exciting news from Observatorio Metropolitano CentroGeo!
We've just released the source code for Dash Sylvereye on GitHub and PyPi, a new Python library for visualizing large primal street networks. 🚀
#Dash#DashSylvereye#OpenSource#DataVisualization#NetworkScience
¿Buscas herramientas prácticas para tus proyectos o tu tesis?
La Escuela de Verano CentroGeo 2025 incluye ponencias con especialistas reconocidos que te darán nuevas perspectivas y metodologías.
Te presentamos algunos de ellos
Constancia con valor curricular (con costo)
Estos son algunos de nuestros profesores de nuestro Posgrado Integrado, la convocatoria está por cerrar.
Puedes desarrollar investigación aplicada en:
Observación de la Tierra
Estudios Territoriales
Geointeligencia Computacional
¡Dale un nuevo rumbo a tu carrera con nosotros!
We invite the community to engage with our findings. What are your thoughts on online hate speech trends? How can we work together to combat this issue? Let's discuss. #CommunityEngagement#LetsTalk
🌟 Exciting News! Our paper "Decoding Online Hate in the US: A BERT-CNN Analysis of 36M Tweets (2020-2022)" is now available on IEEE Xplore! 🎉 Dive in with us as we explore the nuances of online hate speech. #MachineLearning#OnlineHateSpeech
🔗 https://t.co/jsofI9sCtN
Why is this important? Understanding the dynamics of online hate helps in crafting better policies and tech solutions to mitigate it. Our findings offer a crucial step forward. #PolicyMaking
🎉 ¡Inscripciones abiertas! Únete al curso "Introducción a la Geointeligencia Computacional". 📚🌎 ¡Es gratuito y en línea! 🚀🛰️🔍 Regístrate en: https://t.co/EplIQ5wmdd
Más detalles en: 🌐 https://t.co/brKPvNbVsG #GeointeligenciaComputacional#CentroGeo
¿Eres programador y te gustaría especializarte en el manejo de datos geoespaciales?
👇Comenta cuál es tu lenguaje de programación favorito:
Python
R
Matlab
#Programación#DatosGeoespaciales
Desde @CentroGeo_ impulsamos la investigación interdisciplinaria en temas prioritarios para #Mexico con el grupo de trabajo #Agua#Territorio y #Gobernanza. Conócenos 👉🏼 https://t.co/1YQ8or9EIS
📣 Excited to share that our new paper: "Dash Sylvereye: A Python Library for Dashboard-Driven Visualization of Large Street Networks" has been published on IEEE Access (2022 IF 3.9)!
We encourage you to read about our approach to street network visualization with GPU acceleration, OSM integration, and Plotly Dash support.
📚 Open Access: https://t.co/BGkxygLPxe
💻 GitHub: https://t.co/ZEROyF1giv
#DataViz#Python#OpenStreetMap#IEEEAccess#Plotly#Dash
Destacó que, al sumar interseccionalidades, se vuelve aún más complejo para algunas poblaciones, entre ellas las de mujeres de origen indígena o con alguna otra condición en particular, por lo que el diagnóstico permite desarrollar políticas que mejoren su calidad de vida. 3/4
Te invitamos al Seminario Multidisciplinario CentroGeo 2023
mañana Viernes 27 de 12 a 13 hrs.
"Exploración y usos prácticos de Dash Sylvereye en la visualización de redes geoespaciales" del Dr. Alberto García Robledo
Transmisión por Bluejeans: https://t.co/xN8Fwr3vgO
Published this month in 1986: a seminal 4-page paper on backpropagation from Geoff Hinton that helped reignite the field of neural networks.
https://t.co/GEfsq5e9Mq
Why gRPC is Getting So Popular 🚀
gRPC has exploded in popularity for service-to-service communication. Here's why:
- Speed - gRPC is built on HTTP/2 and Protobufs for maximum throughput and minimal latency. Much faster than JSON over HTTP.
- Efficiency - The compact Protobuf binary format means smaller payloads than JSON. Less data sent = better performance.
- Type Safety - Protobufs are strongly typed, eliminating many bugs.
- Polyglot - Write services in many popular languages, the IDL works across them all.
- Streaming - gRPC supports bidirectional streaming for real-time data transmission.
- Great Ecosystem - Tons of tools exist for code gen, load balancing, monitoring, and more.
Of course, gRPC has some drawbacks:
- More Complex - Defining Protobuf schemas and setting up gRPC can have a learning curve.
- Not Human Readable - Protobufs are binary, so not as easy to troubleshoot as JSON. Debugging tools like grpcurl make it easier to troubleshoot.
- Limited Browser Support - gRPC works best for backend microservices, not front-end apps.
For most backend use cases, gRPC delivers an efficient, robust and high-performance communication framework perfect for modern microservices. 🏆
🔥 When talking about training LLMs, do you think of updating model parameters?
In fact, you can use LLMs to learn a rule library. This not only improves multi-step reasoning, but also has many advantages: interpretability, transferability, and applicable to black-box LLMs.
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1/ 🎉 Exciting news from Observatorio Metropolitano CentroGeo!
We've just released the source code for Dash Sylvereye on GitHub and PyPi, a new Python library for visualizing large primal street networks. 🚀
#Dash#DashSylvereye#OpenSource#DataVisualization#NetworkScience