Artificial Intelligence
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This Channel is to spread knowledge on Artificial Intelligence.❤️ We are here to simplify and understand everything about Artificial Intelligence.🤖 Join us in this mission.❤️ Let’s Grow Together.😍 eduai.web@gmail.com
Show more📈 Analytical overview of Telegram channel Artificial Intelligence
Channel Artificial Intelligence (@artificial_intelligence_ai) in the English language segment is an active participant. Currently, the community unites 15 875 subscribers, ranking 7 004 in the Technologies & Applications category and 4 905 in the Malaysia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 15 875 subscribers.
According to the latest data from 23 September, 2025, the channel demonstrates stable activity. Although there has been a change in the number of participants by 102 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“This Channel is to spread knowledge on Artificial Intelligence.❤️
We are here to simplify and understand everything about Artificial Intelligence.🤖
Join us in this mission.❤️
Let’s Grow Together.😍
eduai.web@gmail.com”
Thanks to the high frequency of updates (latest data received on 24 September, 2025), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
15 875
Subscribers
No data24 hours
+87 days
+10230 days
Posts Archive
15 875
https://www.instagram.com/reel/DB_VdX9ooXO/?igsh=MWtxd2R1dncxZWl6ag==
This is wild😲
They’re even carrying babies now!🤖
👶 In this mind-blowing future, humanoid robots are taking on roles we never thought possible… nurturing life itself! 🍼✨
From cleaning floors to cradling life, the world is transforming at an incredible pace! 🌐⚡️ Are we prepared for a reality where machines become family? 🧐💭
Is this an exciting leap forward or a step too far? 😮👇 What do you think — are you on board with this future, or does it make you wonder about the boundaries of technology? 🤖
👶 Are you for it, against it, or maybe a little bit of both? 🤔💬
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI
15 875
🚀 If you’re a Data Scientist, you should learn how to deploy models in production.
📚 Here are 3 books, 3 courses, 3 blogs, and 3 podcasts to level up your MLOps skills:
📖 Books:
📕 Designing Machine Learning Systems by Chip Huyen with actual case studies of ML systems in enterprise: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/
📗 Practical MLOps: Operationalizing Machine Learning Models by Noah Gift & Alfredo Deza: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017
📘 Machine Learning Engineering in Action by Benjamin Wilson: https://www.oreilly.com/library/view/machine-learning-engineering/9781617298714/
🎓 Courses:
💻 Deployment of Machine Learning Models by Soledad Galli and Chris Samiullah: Learn to deploy with FastAPI, containers, and AWS: https://www.udemy.com/course/deployment-of-machine-learning-models/
🧠 Machine Learning Specialization by Noah Gift and Alfredo Deza: A comprehensive MLOps course: https://www.coursera.org/specializations/mlops-machine-learning-duke
🎯 MLOps Specialization by Andrew Ng, Laurence Moroney, Robert Crowe, and Cristian Bartolomé: https://www.deeplearning.ai/courses/machine-learning-in-production/
📝 Blogs:
🚗 Uber Engineering Blog: https://www.uber.com/en-US/blog/engineering/
🏠 Airbnb Engineering and Data Science Blog: https://airbnb.io/
💼 Nubank Engineering Blog: https://building.nubank.com.br/
🎙 Podcasts:
🎧 MLOps Community Podcast: Learn more about MLOps: https://podcast.mlops.community/
🎙 AI Stories Podcast Episodes:
How to get into MLOps with Demetrios Brinkmann, CEO of the MLOps Community: https://www.youtube.com/watch?v=nrmOr98uR1M
MLOps and LLMOps with Noah Gift, MLOps Leader and Author: https://www.youtube.com/watch?v=jZGtmCrgTxk
Model deployment and code best practices with Maria Vechtomova, MLOps Tech Lead: https://www.youtube.com/watch?v=Nnq_2uHBUSo (🎉 Credits: Neil Leiser)
Give some likes ♥️ or ⭐️ bruh!
15 875
UC Berkeley's "Machine Learning" lecture notes
📓 Book
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI
15 875
This is wild😲
Famous paintings reborn
The new Minimax img2vid brings more richness to old paintings.
Music : Vivaldi - Four Seasons 4 Winter mvt 1 Allegro non molto
Paintings from Wikipedia
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI
15 875
+9
Tesla’s “We, Robot” event offered a glimpse into its autonomous tech ambitions, displaying the upgraded Optimus robot, a Robovan prototype, and the radical Cybercab—an autonomous vehicle without steering wheel or pedals.
This event marks a major moment for Musk, who has been promising fully autonomous Teslas for years and is finally delivering.
This focus shows how the larger industry is pushing to bring robotics closer to everyday life, signaling the tech world’s enduring pursuit of true autonomy.
@Artificial_intelligence_ai
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://t.me/Artificial_intelligence_AI
15 875
https://www.instagram.com/reel/DBBpo1oI3nJ/?igsh=MWhyYWpuemNwaGJ1bA==
AI Tom Cruise in a galaxy far, far away! 🤯
Created using the Minimax AI video model by Hailuo AI. It’s crazy how far AI tools have come, making scenes like this possible.
Credits: Stuart Lynch.
#ai #chatgpt #aitools #openai #aitips #machinelearning
15 875
https://www.instagram.com/p/DAh-cAZI7NY/?igsh=MTBqcTM2OGZlN3pqZg==
7 in demand Data Analytics skills
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisnotificationsions on how to move from one point to another.
15 875
https://www.instagram.com/p/C_xFcm5zvpm/?igsh=NXdwY3kydjdmNnNy
Types of Activation functions in Machine Learning 👍
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisnotificationsions on how to move from one point to another.
15 875
https://www.instagram.com/p/C_Z-_JCIa5p/?igsh=Y3RxdWQ1NDlkaThu
Save this for Future Reference!🔥
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisnotificationsions on how to move from one point to another.
15 875
https://www.instagram.com/p/C_H617fRMxP/?igsh=eGh2eHhtOGw2ZGk1
The Evolution of AI 🔥
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisnotificationsions on how to move from one point to another.
15 875
Day 13 of 100: Numpy for Data Science
Watch this video to know more
Do Like, Share and Subscribe to our YouTube Channel for better reach and help us grow
https://youtube.com/shorts/IzqysT--ASE?si=GF7558H74hYorC5F
15 875
Day 12 of 100: Data Manipulation with Pandas
Watch this video to know more
Do Like, Share and Subscribe to our YouTube Channel for better reach and help us grow
https://youtube.com/shorts/AbpqpGe0v-Y?si=exk-_amykn6Mb9dw
15 875
https://www.instagram.com/p/C-7E4mCo_tt/?igsh=MnhqdGozYnZkdGth
Spectrum of Data Science
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisnotificationsions on how to move from one point to another.
15 875
Day 11 of 100: Basics of Python, Syntax and Data Types!
Watch this video to know more
Do Like, Share and Subscribe to our YouTube Channel for better reach and help us grow
https://youtube.com/shorts/bG-DB3hlYvg?si=8NwBHgVlORGDECwJ
15 875
https://www.instagram.com/p/C-zexrBxt4L/?igsh=MXE5d2dqd2I3N3Bocw==
Save this for Future Reference!!
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisnotificationsions on how to move from one point to another.
15 875
https://www.instagram.com/p/C-pFU7dR2HA/?igsh=MXJoOTlxNGFxZW94NA==
K-Means Clustering Algorithm
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisnotificationsions on how to move from one point to another.
15 875
Day 10 of 100: Daily Tasks of a Data Scientist!
Watch this video to know more
Do Like, Share and Subscribe to our YouTube Channel for better reach and help us grow
https://youtube.com/shorts/2gE05y98f94?si=YqLLDLOjtpVgWGjg
15 875
https://www.instagram.com/p/C-hc62RIhVB/?igsh=a21uanNmNDRod3Nq
How to Choose a right graph for Data Visualization
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisnotificationsions on how to move from one point to another.
15 875
@Artificial_intelligence_ai
Multimodal contrastive learning for spatial gene expression prediction using histology images
🖥 Github: https://github.com/modelscope/data-juicer
📕 Paper: https://arxiv.org/abs/2407.08583v1
🚀 Dataset: https://paperswithcode.com/dataset/coco
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://t.me/Artificial_intelligence_AI
