pour l'histoire du DLSS ça pourra pas se faire en natif mais avec un partenariat NVIDIA geforce now, ca aurait pu se faire.
SOFTWARE
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10 AI Concepts Essential for Software Engineers
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10 #AI Concepts for Software Engineers by @systemdesignone #GenAI #ArtificialIntelligence #MachineLearning #ML #NLP
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Perplexity Launches AI-Native Browser for Enterprise Stack
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Powerful move from Perplexity: bringing an AI-native browser directly into the enterprise stack. https://t.co/KTbDm7U3we
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 18 mars 2026Powerful move from Perplexity: bringing an AI-native browser directly into the enterprise stack.
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Gaussian Processes with GPy for Machine Learning
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Gaussian GPy for Machine Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/GP-GPyTorch -

20 Best Vibe Coding Tools for Software Creation
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20 Amazing Vibe Coding Tools Everyone Needs To Know About #Vibe #coding promises to put software creation in the hands of anyone with an idea, but with dozens of #platforms competing for attention, knowing where to start is half the battle. This #guide breaks down the best
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Pretraining Vision and LLMs Foundation Models on AWS
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Pretrain Vision and LLMs (Large Language Models) in Python — Techniques for Building & Deploying Foundation Models on AWS: http://
amzn.to/3pT9seD v/ @PacktDataML ————
#AI #MachineLearning #MLOps #DataScience #ComputerVision #DataScientist #GenAI -

Python Data Cleaning Code Snippets and Pandas Cookbook
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Simple Practical Data Cleaning #Python Code Snippets for messy data: http://
bit.ly/3hpthSD
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#DataCleaning Cookbook to prepare your data for analysis — PANDAS, NumPy, Matplotlib, scikit-learn, etc.: http://
amzn.to/4c6DAWf v/ @PacktDataML —————
#DataScience #DataScientist -
New Relax Mode and Cluster Infrastructure Development
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we are working on relax mode with a new cluster soon
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OpenClaw CLI Configuration Impact on Inference Performance
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openclaw can also shell out if you configure cli as source, but that adds a few seconds to inference and makes for a bad experience.
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Mamba-3 Release: Linear Models for Hybrid Architectures
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Oh wow, Mamba-3 is here! For me, the most interesting use case of Mamba and Mamba-likes are the recent transformer attention hybrid architectures (Qwen3.5, Kimi Linear, etc.) Would be interesting to swap Gated DeltaNet with Mamba-3 (which now also has RoPE) in next gen hybrids. Albert Gu (@_albertgu) The newest model in the Mamba series is finally here 🐍 Hybrid models have become increasingly popular, raising the importance of designing the next generation of linear models. We've introduced several SSM-centric ideas to significantly increase Mamba-2's modeling capabilities without compromising on speed. The resulting Mamba-3 model has noticeable performance gains over the most popular previous linear models (such as Mamba-2 and Gated DeltaNet) at all sizes. This is the first Mamba that was student led: all credit to @aakash_lahoti @kevinyli_ @_berlinchen @caitWW9, and of course @tri_dao! — https://nitter.net/_albertgu/status/2033948415139451045#m