#Python for #ArcGIS Pro. @fatsaturday #BigData #Analytics #DataScience #IoT #IIoT #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Python-ArcGIS-
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Python for ArcGIS Pro: Data Science and Analytics
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Data Structures Algorithms Python for Big Data Analytics
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Data Structures & Algorithms in #Python! "John Canning & Other Authors." #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #RStats #TensorFlow #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/DataStruct-And
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Matrix Calculus for Machine Learning and Beyond Paper
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Matrix Calculus (for Machine Learning and Beyond) Paige Bright, Alan Edelman, Steven G. Johnson: https://
arxiv.org/abs/2501.14787 #ArtificialIntelligence #DeepLearning #MachineLearning -
Google’s Marketing Weakness Versus Strong Technology Leadership
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Google has never been good at marketing its products, but boy is it good at technology. Very bullish on Gemini, the Gemma line of open models, and the JAX/Keras/TPU stack
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SmolVLM: Efficient Vision-Language Models for Edge Devices
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SmolVLM: Redefining small and efficient multimodal models SmolVLM is a family of highly efficient, small-scale vision-language models (VLMs) engineered for low-memory, real-time multimodal inference on mobile and edge devices. These models achieve competitive or even superior
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Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
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Hogwild! Inference: Parallel LLM Generation via Concurrent Attention This paper introduces Hogwild! Inference, a parallel LLM inference framework where multiple model instances collaborate by sharing a synchronized attention cache and dynamically adapting their strategies in
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DataAISummit 2026: 700+ Sessions on Data, AI, and Analytics
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Join #DataAISummit for access to 700+ sessions on data intelligence, data warehousing, AI, governance and more! Register now to secure your spot at the world’s largest data, analytics and AI conference. Register now – early bird ends April 30! Here’s a preview of the sessions
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Google Ironwood TPU 7th Gen Optimized for LLM Training
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L’Ironwood TPU est une claque technologique.
— VISION IA (@vision_ia) 12 avril 2025
C’est la 7e génération de puces IA de Google, conçue sur-mesure pour l’ère des LLM. Plus rapide, plus efficace, plus optimisée que les GPU traditionnels.
On parle d’une infrastructure taillée pour entraîner et faire tourner des IA… pic.twitter.com/rq4daqq8RSL’Ironwood TPU est une claque technologique. C’est la 7e génération de puces IA de Google, conçue sur-mesure pour l’ère des LLM. Plus rapide, plus efficace, plus optimisée que les GPU traditionnels. On parle d’une infrastructure taillée pour entraîner et faire tourner des IA
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Sam Altman Envisions 10 Million GPUs for AI Pre-Training
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« L’humanité fera-t-elle un jour un entraînement de pré-apprentissage avec 10 millions de GPU ? »
— VISION IA (@vision_ia) 12 avril 2025
Le PDG d’OpenAI, Sam Altman, soulève la question :
« Il y aura 10 millions de GPU travaillant ensemble sur un système d’IA capable d’apprendre et d’exécuter des tâches. »… pic.twitter.com/3gZrqijwQQ« Will humanity one day conduct a pre-training run with 10 million GPUs? » OpenAI CEO Sam Altman raises the question: « There will be 10 million GPUs working together on an AI system capable of learning and performing tasks. » However, the method could evolve: we would shift