Hands-On Artificial Intelligence for IoT! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Artificial-IoT
COMPUTING
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Hands-On Artificial Intelligence for IoT book resource overview
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Machine Learning Optimizes Base Editors via Single-Round Diversification
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Machine Learning-Driven Optimization of Specific, Compact, and Efficient Base Editors via Single-Round Diversification! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist
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Refuting claims that satellite latency blocks AI inference or training
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Next thing people are saying you can't do inference or training because satellite to satellite latency is too big Also mostly wrong: https://
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Gartner 2026: Data Center Energy Surge, AI Dominates by 2027
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The biggest bottleneck will be energy- very soon. Gartner's 2026 forecast puts global data center electricity at 565 TWh, up 26% from last year. AI servers already account for 31% of that and pass conventional servers in 2027. What's worth noting is the constraint Gartner
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Cohere Transcribe, open-source ASR model, #1 on Hugging Face benchmark
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Cohere Transcribe, our open-source speech recognition model, is #1 on the new @huggingface Far-Field ASR benchmark.
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Claude Fable 5 as orchestrator model for long agentic workflows
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You can use Claude Fable 5 as the orchestrator model inside Computer. Available to all Pro and Max users! It’s really really good for long running agentic workflows. https://t.co/c6uPF0dpZv
— Aravind Srinivas (@AravSrinivas) 10 juin 2026You can use Claude Fable 5 as the orchestrator model inside Computer. Available to all Pro and Max users! It’s really really good for long running agentic workflows.
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Neural Operators advance from fluid dynamics to weather and fusion
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This is something I have been emphasizing since we started our work on Neural Operators. We very quickly went from simple fluid dynamics benchmarks to hard problems like building the first high-resolution AI-weather model, FourCastNet, and modeling turbulence in nuclear fusion.
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Parallax: Local Linear Attention matches FA 2/3 when using Muon
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Parallax is a parametrized form of Local Linear Attention that drops the numerical solvers and matches FA 2/3 on decode. The most impressive part is that the architecture's benefit works with Muon but disappears under AdamW because the model learns to suppress it. It's
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SambaNova: two to three times better results than Nvidia Blackwell GPUs
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"We are getting two to three times better results than the [Nvidia] Blackwell [GPUs] on exactly the same models, and so we think that, at scale, this is the path to at least reduce costs." – @RodrigoLiang One of the most interesting parts of
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Physical AI: sensor data et vision dans les robots
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Physical AI fuses real-time sensor data, computer vision, and machine learning algorithms directly into robotic platforms, giving machines the ability to perceive and respond to their surroundings rather than following pre-programmed paths. #IIoT #PhysicalAI #ComputerVision pic.twitter.com/N6564oqstB
— Lucian Fogoros (@fogoros) 10 juin 2026Physical AI fuses real-time sensor data, computer vision, and machine learning algorithms directly into robotic platforms, giving machines the ability to perceive and respond to their surroundings rather than following pre-programmed paths. #IIoT #PhysicalAI #ComputerVision