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Artificial Intelligence
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🔒 Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM
Mostrar más📈 Análisis del canal de Telegram Artificial Intelligence
El canal Artificial Intelligence (@artificial_intelligence_com) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 70 419 suscriptores, ocupando la posición 1 849 en la categoría Tecnologías y Aplicaciones y el puesto 4 785 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 70 419 suscriptores.
Según los últimos datos del 13 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 1 217, y en las últimas 24 horas de 69, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 7.35%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.09% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 5 179 visualizaciones. En el primer día suele acumular 1 474 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 10.
- Intereses temáticos: El contenido se centra en temas clave como learning, linkedin, linux, udemy, 040k|.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“🔒 Welcome Artificial Intelligence Channel
Buy ads: https://telega.io/c/Artificial_Intelligence_COM”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 14 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
70 419
Suscriptores
+6924 horas
+2577 días
+1 21730 días
Archivo de publicaciones
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Meme of the day: Waymo robotaxi is circling around one point due to a malfunction.
The company has already responded and promised to fix Delamain's crazy chariot.
#meme
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📱Artificial Intelligence and Machine Learning
📱Machine Learning Foundations: Prototyping with Edge Impulse
70 430
📂 Full description
Explore the world of machine learning on edge devices with this hands-on course. Robert Gallup—a technologist, designer, and maker—guides you through basic machine learning concepts and workflow. Set up the necessary tools and hardware to develop a voice-driven prototype using the Arduino Nano 33 BLE Sense microcontroller. Discover how to use the Edge Impulse platform to acquire data, train a machine learning model, and generate code for your prototype. Upload and modify the code to complete your prototype using the Arduino IDE. Finally, explore practical challenges in deploying ethical machine learning on edge devices. By the end of this course, you'll be equipped to create your own intelligent prototypes, enhancing your technical portfolio and practical problem-solving abilities.
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🔅 Machine Learning Foundations: Prototyping with Edge Impulse
🌐 Author: Robert Gallup
🔰 Level: Beginner
⏰ Duration: 1h 9m
🌀 Discover how to collect data, train models, and deploy code on the Arduino Nano 33 BLE Sense, making intelligent and responsive prototypes.📗 Topics: Arduino IDE, Machine Learning 📤 Join Artificial Intelligence and Machine Learning for more courses
70 430
🔅 PREMIUM CHANNELS
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 The Coding Space
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218k| 🔰 Linkedin Learning Courses
130k| 🔰 Premium Udemy Courses
128k| 🔰 Web Development
-◦-◦--◦-
109k| 🔰 Learn Python
096k| 🔰 JavaScript Courses
079k| 🔰 Machine Learning
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064k| 🔰 DevOps Tutorials
061k| 🔰 Learn React and NextJs
060k| 🔰 Data Analysis and Databases
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052k| 🔰 Linux and DevOps
045k| 🔰 100 Days of Python
044k| 🔰 Best Telegram Channels
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042k| 🔰 Business Training
042k| 🔰 ChatGPT Mastery
037k| 🔰 Mobile Development
-◦-◦--◦-
036k| 🔰 Zero to Mastery
035k| 🔰 Udemy Learning
033k| 🔰 Codedamn Courses
-◦-◦--◦-
032k| 🔰 Linkedin Learning
032k| 🔰 React 101
030k| 🔰 Crypto Lessons
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027k| 🔰 Coding Interview
023k| 🔰 Telegram's Shorts
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🔰 Add Your Channel
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🔰 2hrs on top & 8hrs in channel!
70 430
📱Artificial Intelligence and Machine Learning
📱Machine Learning for Red Team Hackers by Infosec
70 430
📱Artificial Intelligence and Machine Learning
📱Machine Learning for Red Team Hackers by Infosec
70 430
📱Artificial Intelligence and Machine Learning
📱Machine Learning for Red Team Hackers by Infosec
70 430
📱Artificial Intelligence and Machine Learning
📱Machine Learning for Red Team Hackers by Infosec
70 430
📱Artificial Intelligence and Machine Learning
📱Machine Learning for Red Team Hackers by Infosec
70 430
📱Artificial Intelligence and Machine Learning
📱Machine Learning for Red Team Hackers by Infosec
70 430
📱Artificial Intelligence and Machine Learning
📱Machine Learning for Red Team Hackers by Infosec
70 430
📂 Full description
Explore the ins and outs of hacking machine learning with the cybersecurity training experts at Infosec Institute. Deep dive into topics such as hacking a CAPTCHA system, fuzzing a target, evading malware detection, and attacking machine learning systems. Plus, learn about deepfakes and how to perform backdoor attacks on machine learning.
This course was created by Infosec Institute. We are pleased to host this training in our library.
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🔅 Machine Learning for Red Team Hackers by Infosec
🌐 Author: Infosec Institute
🔰 Level: Intermediate
⏰ Duration: 3h 39m
🌀 Learn the various techniques used in hacking machine learning.📗 Topics: Ethical Hacking, Machine Learning, Red Teaming 📤 Join Artificial Intelligence and Machine Learning for more courses
70 430
🤗 HuggingFace is offering 9 AI courses for FREE!
These 9 courses covers LLMs, Agents, Deep RL, Audio and more
1️⃣ LLM Course:
https://huggingface.co/learn/llm-course/chapter1/1
2️⃣ Agents Course:
https://huggingface.co/learn/agents-course/unit0/introduction
3️⃣ Deep Reinforcement Learning Course:
https://huggingface.co/learn/deep-rl-course/unit0/introduction
4️⃣ Open-Source AI Cookbook:
https://huggingface.co/learn/cookbook/index
5️⃣ Machine Learning for Games Course
https://huggingface.co/learn/ml-games-course/unit0/introduction
6️⃣ Hugging Face Audio course:
https://huggingface.co/learn/audio-course/chapter0/introduction
7️⃣ Vision Course:
https://huggingface.co/learn/computer-vision-course/unit0/welcome/welcome
8️⃣ Machine Learning for 3D Course:
https://huggingface.co/learn/ml-for-3d-course/unit0/introduction
9️⃣ Hugging Face Diffusion Models Course:
https://huggingface.co/learn/diffusion-course/unit0/1
70 430
🔅 PREMIUM CHANNELS
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 The Coding Space
-◦-◦--◦--◦-◦--◦--◦-◦--
217k| 🔰 Linkedin Learning Courses
129k| 🔰 Premium Udemy Courses
128k| 🔰 Web Development
-◦-◦--◦-
108k| 🔰 Learn Python
096k| 🔰 JavaScript Courses
078k| 🔰 Machine Learning
-◦-◦--◦-
064k| 🔰 DevOps Tutorials
060k| 🔰 Learn React and NextJs
059k| 🔰 Data Analysis and Databases
-◦-◦--◦-
052k| 🔰 Linux and DevOps
045k| 🔰 100 Days of Python
043k| 🔰 Best Telegram Channels
-◦-◦--◦-
041k| 🔰 Business Training
041k| 🔰 ChatGPT Mastery
036k| 🔰 Mobile Development
-◦-◦--◦-
036k| 🔰 Zero to Mastery
035k| 🔰 Udemy Learning
033k| 🔰 Codedamn Courses
-◦-◦--◦-
032k| 🔰 Linkedin Learning
031k| 🔰 React 101
030k| 🔰 Crypto Lessons
-◦-◦--◦-
027k| 🔰 Coding Interview
023k| 🔰 Telegram's Shorts
-◦-◦--◦--◦-◦--◦--◦-◦--
🔰 Add Your Channel
-◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦-
🔰 2hrs on top & 8hrs in channel!
70 430
+3
🔥 Google has introduced InstructPipe , an AI editor for ML pipelines that works via text queries.
❔ What is InstructPipe?
InstructPipe is an AI assistant that transforms text commands into visual flowcharts representing machine learning pipelines.
The system uses two large language model (LLM) modules and a code interpreter to generate pseudocode and visualize it in a graph editor.
This is a low-code approach: you simply connect ready-made components (nodes) without writing code.
🌟 How does this work?
1️⃣ The user enters a text instruction describing the desired pipeline.
2️⃣ LLM modules process the instruction and generate the corresponding pseudocode.
3️⃣ The code interpreter converts pseudocode into a visual flowchart that you can edit and customize.
✔️ Benefits of InstructPipe
🟡 Accessibility: Allows newcomers to programming to create complex ML pipelines without having to write code.
🟡 Flexibility: Accepts text description in any form, no strict format.
🟡 Lower barrier to entry: Simplifies the process of learning and prototyping ml projects.
🔜 Read more
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🔗 Top 5 machine learning projects:
1. Predicting House Prices: Build a machine learning model that predicts house prices based on features such as location, size, number of bedrooms, etc. This project will help you understand regression techniques and feature engineering.
2. Image Classification: Create a model that can classify images into different categories such as cats vs. dogs, fruits, or handwritten digits. This project will introduce you to convolutional neural networks (CNNs) and image processing.
3. Sentiment Analysis: Develop a sentiment analysis model that can classify text data as positive, negative, or neutral. This project will help you learn natural language processing techniques and text classification algorithms.
4. Credit Card Fraud Detection: Build a model that can detect fraudulent credit card transactions based on transaction data. This project will help you understand anomaly detection techniques and imbalanced classification problems.
5. Recommendation System: Create a recommendation system that suggests products or movies to users based on their preferences and behavior. This project will introduce you to collaborative filtering and recommendation algorithms.
