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Articles récents
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
- Building AI With Empathy: Sorenson’s Mission for Accessibility
- Multi-node deployments using Intel® AI for Enterprise RAG
- Connected Data is the Future: How Neo4j Is Enabling the Next Generation of AI
- Orchestrating AI for Real Business Value: Google Cloud’s Approach to Scalable Intelligence
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Neural networks news
Intel NN News
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
Today’s AI workloads are not purely offloaded to GPU accelerators. Host CPUs such as the Intel® […]
- Multi-node deployments using Intel® AI for Enterprise RAG
As enterprises scale generative AI across diverse infrastructures, Intel® AI for Enterprise RAG […]
- Building AI With Empathy: Sorenson’s Mission for Accessibility
For Sorenson Senior Director of AI Mariam Rahmani, the future of AI isn’t about building the […]
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
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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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