Finally, Gemma 4 incoming. Rally looking forward to this release. Small models running on the edge are the future.
COMPUTING
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Foundation for Machine Learning: Comprehensive Guide
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A Greater Foundation for Machine Learning. Ft. @gp_pulipaka
! @readersdigest #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding -
History of Machine Learning: Technologies and Evolution
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Great Learning!: History of Machine Learning. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/History-of-ML -
RDF Graph Data Engineering at Planetary Scale
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Graph Data Engineering with RDF Processing at the Scale of Planet. by – @gp_pulipaka #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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Red Lion Recognized by UK IoT Developer for AI Innovation
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Red Lion, Recognized by UK-Based Developer of #IoT! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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GPT Generative AI and LLM Technologies Overview
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GPT, Generative AI, and LLM! @AverConferences #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode http://
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Top 25 IoT Influencers in Machine Learning and Data Science
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Top 25 #IoT Influencers in Machine Learning! @cbtechinc #BigData #Analytics #DataScience #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Programming #Coding #100DaysofCode https://
geni.us/IIoT-Influence
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CBSE NCERT Launch AI Computational Thinking Curriculum Classes 3-8
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#WATCH | A significant step towards future-ready education as Central Board of Secondary Education and National Council of Educational Research and Training introduce an AI & Computational Thinking curriculum for Classes 3–8.
— IndiaAI (@OfficialINDIAai) 2 avril 2026
The initiative aims to build early digital literacy,… https://t.co/KcuieOgar8#WATCH | A significant step towards future-ready education as Central Board of Secondary Education and National Council of Educational Research and Training introduce an AI & Computational Thinking curriculum for Classes 3–8. The initiative aims to build early digital literacy, logical thinking and communication skills, equipping young learners with the capabilities needed for a rapidly evolving, technology-driven world. A strong foundation for nurturing curious minds, problem solvers and future innovators. #AIForEducation #DigitalIndia #FutureReady #Innovation #IndiaAI DD News (@DDNewslive) #WATCH | #CBSE and #NCERT have introduced an AI and Computational Thinking curriculum for Classes 3–8 to build early digital literacy, logical thinking, and communication skills, aligned with future-ready education goals. @EduMinOfIndia @dpradhanbjp @cbseindia29 @ncert @tapasjournalist — https://nitter.net/DDNewslive/status/2039558189608251453#m
→ View original post on X — @officialindiaai, 2026-04-02 06:14 UTC
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Energy Scale: The Next AI Race Will Be Won in Megawatts
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𝗧𝗵𝗲 𝗻𝗲𝘅𝘁 𝗔𝗜 𝗿𝗮𝗰𝗲 𝘄𝗼𝗻’𝘁 𝗯𝗲 𝘄𝗼𝗻 𝗶𝗻 𝗺𝗼𝗱𝗲𝗹𝘀.
— Pascal Bornet (@pascal_bornet) 2 avril 2026
𝗜𝘁 𝘄𝗶𝗹𝗹 𝗯𝗲 𝘄𝗼𝗻 𝗶𝗻 𝗺𝗲𝗴𝗮𝘄𝗮𝘁𝘁𝘀.
And right now, one country is moving faster than everyone else.
China is not just “going green.”
It’s building scale most economies can’t match.
What… pic.twitter.com/nVcBghH0Yk𝗧𝗵𝗲 𝗻𝗲𝘅𝘁 𝗔𝗜 𝗿𝗮𝗰𝗲 𝘄𝗼𝗻’𝘁 𝗯𝗲 𝘄𝗼𝗻 𝗶𝗻 𝗺𝗼𝗱𝗲𝗹𝘀. 𝗜𝘁 𝘄𝗶𝗹𝗹 𝗯𝗲 𝘄𝗼𝗻 𝗶𝗻 𝗺𝗲𝗴𝗮𝘄𝗮𝘁𝘁𝘀. And right now, one country is moving faster than everyone else. China is not just “going green.” It’s building scale most economies can’t match. What stands out to me is this: Over the next decade, the constraint will not be ideas. It will be 𝗽𝗼𝘄𝗲𝗿. AI, data centers, robotics, electrified industry, automation… All of it runs on one thing: Reliable, cheap electricity at scale. And China is accelerating that aggressively: ↳ 880+ GW solar capacity (2024) ↳ 277 GW added in a single year ↳ Passed 1 terawatt in 2025 That’s not a climate milestone. That’s an industrial strategy. Here is what many people still underestimate: 𝗦𝗼𝗹𝗮𝗿 𝗶𝘀 𝗻𝗼 𝗹𝗼𝗻𝗴𝗲𝗿 𝗮 𝗰𝗹𝗶𝗺𝗮𝘁𝗲 𝘀𝘁𝗼𝗿𝘆. 𝗜𝘁’𝘀 𝗮 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲𝗻𝗲𝘀𝘀 𝗲𝗻𝗴𝗶𝗻𝗲. Because at this scale, energy becomes leverage: ▪️ Lower manufacturing costs ▪️ Faster electrification ▪️ Stronger supply chains ▪️ Less exposure to fuel shocks ▪️ More capacity for AI and compute This is where the shift is happening. Countries that scale power will scale industry. Those that don’t… will depend on those who do. And this is happening faster than most leaders expect. 𝗦𝗼 𝗵𝗲𝗿𝗲’𝘀 𝗺𝘆 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: Is your country treating energy as infrastructure… or as messaging? #Solar #Energy #CleanTech #China #AI #Geopolitics #Innovation #SupplyChain #Technology #FutureOfWork
→ View original post on X — @pascal_bornet, 2026-04-02 05:01 UTC
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Five Nines: Industry Standard Reliability Requirements Explained
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my god you are stupid! there is an infinite set of numbers between 99 and 100. people in the industry generally talk about needing “five nines” (99.99999%) or better.