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Articles récents
- Mamba-Shedder: Intel Labs Explores Efficient Compression of Selective Structured State Space Models
- Driving Industrial Innovation with AI at the Edge: Open Platforms Leading the Way
- Deploying Scalable Enterprise RAG on Kubernetes with Ansible Automation
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- Leveling Up Your AI Skills in 30 Minutes
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Neural networks news
Intel NN News
- Intel Labs’ Innovative Low-Rank Model Adaptation Increases Model Accuracy and Compression
Intel Labs’ Neural Low-Rank Adapter Search (NLS) produces accurate models with INT4 weights and […]
- Mamba-Shedder: Intel Labs Explores Efficient Compression of Selective Structured State Space Models
Utilizing block pruning techniques, Intel Labs researchers developed the Mamba-Shedder solution to […]
- Driving Industrial Innovation with AI at the Edge: Open Platforms Leading the Way
Industrial enterprises need more than just AI to scale technology across diverse environments. They […]
- Intel Labs’ Innovative Low-Rank Model Adaptation Increases Model Accuracy and Compression
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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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