
"Graph Neural Networks — Foundations, Frontiers, and Applications" at http://
amzn.to/3AAzrdv
+
Do it with Python: http://
amzn.to/3Oj2QiG
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#DataScience #DataScientist #AI #MachineLearning #ML #DeepLearning

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"Graph Neural Networks — Foundations, Frontiers, and Applications" at http://
amzn.to/3AAzrdv
+
Do it with Python: http://
amzn.to/3Oj2QiG
————
#DataScience #DataScientist #AI #MachineLearning #ML #DeepLearning

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"Machine Learning Foundations, Volume 1: Supervised Learning" – available at http://
amzn.to/4syhPal Benefits: Master the key concepts of supervised machine learning, including model capacity, the bias-variance tradeoff, generalization, and optimization techniques Implement
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Say hello to open source deep research for your favorite agent harness.
— NVIDIA AI (@NVIDIAAI) 22 mai 2026
Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back… pic.twitter.com/u7tVWvCUWd
Say hello to open source deep research for your favorite agent harness. Our AI-Q agent skill packages the work of building a research pipeline into a portable skill. Drop it into your harness, and the agent delegates a research task to a local or hosted AI-Q server and gets back
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Most vibe-coded apps forget every user who opens them.
— Replit ⠕ (@Replit) 22 mai 2026
With one prompt to Replit Agent fixes it! 💻
Try adding authentication to your app today! pic.twitter.com/8742R0Fulz
Most vibe-coded apps forget every user who opens them.
With one prompt to Replit Agent fixes it! Try adding authentication to your app today!
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🧞 Genie Code brings an autonomous AI partner directly into Lakeflow, helping data engineers build, orchestrate, monitor, and debug pipelines and jobs from a single agent experience.
— Databricks (@databricks) 22 mai 2026
With natural language, teams can:
• Generate production-ready pipelines and orchestrate jobs
•… pic.twitter.com/9zy2S2yvOr
Genie Code brings an autonomous AI partner directly into Lakeflow, helping data engineers build, orchestrate, monitor, and debug pipelines and jobs from a single agent experience. With natural language, teams can:
• Generate production-ready pipelines and orchestrate jobs
•
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The team that made databases feel easy just did the same thing for AI agents.
— Chubby♨️ (@kimmonismus) 22 mai 2026
Hyperagent gives you a full cloud environment per session, browser, shell, code execution, integrations, no local setup. You build an agent, deploy it to Slack, and it runs your workflows while you do… https://t.co/xJdnlMYoXz
The team that made databases feel easy just did the same thing for AI agents. Hyperagent gives you a full cloud environment per session, browser, shell, code execution, integrations, no local setup. You build an agent, deploy it to Slack, and it runs your workflows while you do
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realisation: I haven't opened an IDE in more than a month, diff view + file viewer in the codex app is more than sufficient one app to rule them all!
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5/ Google AI Studio updates
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 22 mai 2026
For devs building with Gemini:
🔤 Native Kotlin support for Android apps
☁️ One-click deploy to Cloud Run
🔥 Firebase services support
📤 Seamless export to Antigravity
Build → deploy → scale, all from one place. pic.twitter.com/NMt0zmjLK5
5/ Google AI Studio updates For devs building with Gemini: Native Kotlin support for Android apps One-click deploy to Cloud Run Firebase services support Seamless export to Antigravity Build → deploy → scale, all from one place.
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June will be huge. -Gemini 3.5 pro (confirmed)
-GPT-5.6 (rumored but pretty confident for a release) Still waiting for annoucements Claude Sonnet 4.8 (Claude-Code-/Source-Map-Leak)

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ICYMI, @addyosmani from Google recently dropped his new Agent Skills and it's pretty incredible. It brings 19 engineering skills + 7 commands to AI coding agents, all inspired by Google best practices AI coding agents are powerful, but left alone, they take shortcuts.