Kimi K2.7 Release: Advancing Long Context Reasoning and LLM Efficiency! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
COMPUTING
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A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference
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A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference Using CityGraph, OSMnx, and PyTorch Geometric! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #GeoSpatial #Mathematics #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java
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NVIDIA Blackwell Leads on Agentic AI Infrastructure
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NVIDIA Blackwell Leads on Agentic AI Infrastructure! #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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MMDesign platform generates nanobody candidates from target protein and binding site
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What if you could design a new nanobody from scratch with only tens of lab tests instead of millions? MoleculeMind (led by Jinbo Xu) presents MMDesign – a platform that generates and filters nanobody candidates from just a target protein and desired binding site. The system
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Traditional ML background irrelevant for modern deep learning systems
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endlessly fascinating how a traditional machine learning background is basically not that helpful for modern AI. we use deep NNs and do SGD with one of two losses. most day-to-day work lies in abstractions *on top* of this layer. everything is really just a massive system of
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NVIDIA thanks Satya Nadella for MLPerf record on Blackwell
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Thank you @satyanadella Excellent work with @Azure on one of the largest MLPerf Training submissions to date on NVIDIA Blackwell: 8,192 GPUs on NVIDIA GB200 NVL72 systems, Llama 3.1 405B training goal achieved in just 7.07 minutes. More to come
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DeepSeek rewires residual connections that power AI
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DeepSeek Is Rewiring the Residual Connections That Still Power AI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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SkyPilot: Run and Scale LLM Workloads Across Any AI Infrastructure
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SkyPilot! SkyPilot: Run and Scale Large Language Model Workloads Across Any AI Infrastructure! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless
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SambaNova ready for RaiseSummit 2026: inference 2.0 with GPU and RDU
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We're ready for @RaiseSummit 2026 🙌
— SambaNova (@SambaNovaAI) 16 juin 2026
Training built the models. Inference put them to work. Inference 2.0 is about disaggregating the workload.
GPUs for prefill. RDUs for decode. The right chip for the right job.
Join us at RAISE Summit in Paris to see what's next:… pic.twitter.com/FNThE5nXi8We are ready for @RaiseSummit 2026 Training built the models. Inference put them to work. Inference 2.0 is about disaggregating the workload. GPU for prefilling. RDU for decoding. The right chip for the right task.
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Combining hardware architectures to split shards and run models simultaneously
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It means combining different hardware architectures to split shards / run models across all of them at the same time