The Future of #DataScience and #ParallelComputing! #BigData #Analytics #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Future-of–DSci
COMPUTING
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Future of Data Science and Parallel Computing Technologies
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GridGain In-Memory Computing Platform for Data Science and AI
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GridGain! #InMemoryComputing Platform! @gridgain #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
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Gigatron Platform for Machine Learning and Data Science
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Gigatron for Machine Learning. Ft. @gp_pulipaka @ThePracticalDev
. #BigData #Analytics #DataScience #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #Serverless #Linux #Programming #Coding #100DaysofCode https://
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Tiny AI Outthinks Giant Models Through Looped Reasoning
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What if a tiny AI could out-think a giant one by reasoning in loops instead of just getting bigger? Researchers from HKUST, CASIA, and UC Santa Cruz present LoopViT just for that! They built a "looped" transformer that reuses the same small set of weights over and over,
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TDK SensEI Brings Edge AI to Energy Infrastructure
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We’re happy to have TDK SensEI supporting IIoT World Energy Day 2026 as a sponsor.
They’re bringing a practical look at energy infrastructure to the event. CPO Sundeep Ahluwalia will be breaking down how moving AI to the edge helps operators anticipate equipment failure and keep -
Best AI inferencing computer at home, unused most of the time
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It is the best AI inferencing computer in my home. Bugs me it is usually not being used.
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Encoding Context at Data Source for AI Effectiveness
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For AI to be effective, context must be encoded as far "left", or as close to the source, as possible. When you define data models at the edge using tools like MQTT and Sparkplug, you ensure that every downstream system, including AI agents, understands exactly what that data… pic.twitter.com/irUbXI2DKk
— Lucian Fogoros (@fogoros) 21 février 2026For AI to be effective, context must be encoded as far "left", or as close to the source, as possible. When you define data models at the edge using tools like MQTT and Sparkplug, you ensure that every downstream system, including AI agents, understands exactly what that data
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AI Infrastructure with Dr. Ahmed Gamal
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مع الصديق وخبير الذكاء الاصطناعي د. أحمد جمال نناقش البنى التحتية للذكاء الاصطناعي… الأساس الذي تقوم عليه نماذج الذكاء والتطبيقات المستقبلية.
— Shadi Dawi (@shadi_dawi) 21 février 2026
حلقة جديدة من إعدادي ضمن بودكاست DATE with TECH تابعوا الحلقة.
In conversation with the AI Expert Dr. Ahmed Gamal, we explore the… pic.twitter.com/ifDX1QMBhoWith my friend and AI expert Dr. Ahmed Gamal, we discuss the infrastructure of artificial intelligence… the foundation upon which intelligent models and future applications are built.
A new episode from my production within the DATE with TECH podcast. Follow the episode. In conversation with the AI Expert Dr. Ahmed Gamal, we explore the infrastructure behind Artificial Intelligence — the true foundation powering intelligent systems and future innovation.
A new episode curated and produced by me on DATE with TECH. Don't miss it. #MediaInnovation #Leadership #TechInfluencer #shadi_dawi #AI_Influencer #best_influencer #best_MC #tv_presenter #best_PR #top_influencer #best_media_influencer #قمة_بريدج #الإمارات #الإعلام #الذكاء_الاصطناعي #شادي_ضاوي #مؤثر #صانع_محتوى #مؤثر_ذكاء_إصطناعي [Translated from EN to English]→ View original post on X — @shadi_dawi, 2026-02-21 17:37 UTC
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Serverless Architectures Shift Operations to Code and Scale
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Serverless architectures shift operational responsibility to platforms, reducing friction and refocusing on design. Application logic becomes the lever for scale and cost, since events and stateless functions turn infrastructure choices into code. Microblog by @antgrasso
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Book Impact on Graph Databases and Linked Data Thinking
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This book had a big impact on my thinking (graph databases, linked data, semantic knowledgebases, contextual metadata, connected IoT, context engineering, etc.): http://
amzn.to/4cBYJIi "Linked: How Everything is Connected to Everything Else — What It Means for Business,