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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 : décembre 2024
Unlocking the Future of AI with Federated Learning
OpenFL 1.6 Is Released and Federated Learning for Healthcare Is Showcasing Exciting Possibilities
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Building Trust in AI: An End-to-End Approach for the Machine Learning Model Lifecycle
At Intel Labs, we believe that responsible AI begins with ensuring the integrity and transparency of ML systems, from model training to inferencing, making the ability to verify model lineage an essential foundation of ethical ML development.
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Intel Presents Novel AI Research at NeurIPS 2024
The Conference on Neural Information Processing Systems (NeurIPS 2024) will run from Tuesday, December 10th, through Sunday, December 15th, at the Vancouver Convention Center in Vancouver, B.C., Canada. This year, Intel presents 36 papers at NeurIPS, including eight at the main … Continuer la lecture
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How Ultralytics is Advancing AI with YOLO Models and Intel’s Support
Discover how Ultralytics tackles real-world challenges with customized YOLO models, solving problems from hazardous zone monitoring to parking management.
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From Centralized Machine Learning to Federated Learning with OpenFL
The Federated Learning (FL) machine learning paradigm addresses model bias through diverse data, while maintaining privacy and security for data owners.
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Intel Researchers Organize Workshops & Socials at NeurIPS 2024
Intel employees have organized several workshops at NeurIPS 2024, which are co-located with this year’s conference, including AI for Accelerated Materials Design (AI4Mat-NeurIPS-2024), Breaking Silos Open Community for AI x Science, Responsibly Building the Next Generation of Multimodal Foundational Models, … Continuer la lecture
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Introducing OpenFL 1.6: Federated LLM Fine-Tuning and Evaluation
The most recent OpenFL release enables the next wave of federated learning development.
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