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Articles récents
- Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
- Document Summarization: Transforming Enterprise Content with Intel® AI for Enterprise RAG
- AutoRound Meets SGLang: Enabling Quantized Model Inference with AutoRound
- In-production AI Optimization Guide for Xeon: Search and Recommendation Use Case
- Argonne’s Aurora Supercomputer Helps Power Breakthrough Simulations of Quantum Materials
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Neural networks news
Intel NN News
- Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
Intel® Xeon® processors can deliver a CPU-first platform built for modern AI workloads without […]
- Document Summarization: Transforming Enterprise Content with Intel® AI for Enterprise RAG
Transform enterprise documents into insights with Document Summarization, optimized for Intel® […]
- AutoRound Meets SGLang: Enabling Quantized Model Inference with AutoRound
We are thrilled to announce an official collaboration between SGLang and AutoRound, enabling […]
- Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
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Archives mensuelles : mai 2023
Breast Cancer Detection using Modin and scikit-learn* (sklearn): Developer Spotlight
Learn about a proposed solution to Breast Cancer Detection
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Diabetes Detection using Modin and scikit-learn* (sklearn): Developer Spotlight
Learn about a proposed solution to Diabetes Detection
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PyTorch New York Meetup (Virtual) on June 7th
Learn why you want to sign up to virtually attend the NYC PyTorch Meetup on Wednesday, June 7, 2023
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Deploy Accelerated Distributed AI Applications on the AWS Cloud
Capitalize on distributed architectures based on Kubernetes* with Intel® optimized AI software and hardware.
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Face Mask Detection using scikit-learn* (sklearn): Developer Spotlight
Highlights from Ripan Roy blog proposing a solution to Face Mask Detection
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Sign Language Recognition using scikit-learn* (sklearn): Developer Spotlight
Learn about Sign Language Recognition technology that recognizes actions from sign languages
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AMX Support for Mixed-precision Training and Inference Now Available in TensorFlow* 2.12
Take advantage of mixed precision to make DL models run faster during training and inference
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Intel Labs Details Latest Innovations in Deep Learning at ICLR 2023
The International Conference on Learning Representations (ICLR) 2023 will run from May 1st through 5th in Kigali, Rwanda. Intel Labs’ innovations in model linearization include a three-stage training method that trains a DNN model with significantly fewer rectified linear units … Continuer la lecture
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