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Articles récents
- Intel® Xeon® 6 Processors: The Smart Total Cost of Ownership Choice
- Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
- Document Summarization: Transforming Enterprise Content with Intel® AI for Enterprise RAG
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Neural networks news
Intel NN News
- Intel® AI for Enterprise Inference as a Deployable Architecture on IBM Cloud
Intel® AI for Enterprise Inference as a Deployable Architecture on IBM CloudAuthored by: Pai […]
- Intel® Xeon® 6 Processors: The Smart Total Cost of Ownership Choice
The latest Intel® Xeon® 6 processors deliver performance advantages across key enterprise […]
- 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 […]
- Intel® AI for Enterprise Inference as a Deployable Architecture on IBM Cloud
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Archives mensuelles : août 2024
Hacking the Future: Recapping The Inaugural Intel® Liftoff Days 2024
Welcome to our recap of our inaugural Intel® Liftoff Days 2024, a unique virtual hackathon event tailored exclusively for the program members. This week-long immersive tech acceleration experience offered our startup community a distinct opportunity to explore various cutting-edge topics … Continuer la lecture
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Customer Churn Prediction with Intel AI Tools: Developer Spotlight
Customer churn is defined as the number of people stopped being customers over a certain time frame. It is a key metric for business and a high customer churn rate indicates that the customer is no longer interested in the … Continuer la lecture
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Intel Research on LiDAR Localization with Semantic Awareness Receives Highlight Award at CVPR 2024
Researchers at Intel Labs, in collaboration with Xiamen University, have presented LiSA, the first semantic aware AI framework for highly accurate 3D visual localization. LiSA can leverage pre-trained semantic segmentation models to significantly improve state-of-the-art 3D visual localization accuracy, without … Continuer la lecture
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