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Articles récents
- Transform your AI Applications with Agentic LLM Workflows
- 3 Recent Updates to the Intel Tiber AI Cloud for Developers
- Predictive Tool Maintenance: oneAPI Enhances Aerospace Industry Application for Manufacturing
- GenAI Winner Projects Built on Intel® Tiber™ AI Cloud at 2024 Collegiate Hackathons
- Optimize LLM serving with vLLM on Intel® GPUs
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Neural networks news
Intel NN News
- Transform your AI Applications with Agentic LLM Workflows
Highlights from Intel AI DevSummit Tech Talk: Building Agentic LLM Workflows with AutoGen
- 3 Recent Updates to the Intel Tiber AI Cloud for Developers
Unlock AI's potential with Intel Tiber AI Cloud: new PyTorch, oneAPI updates, DeepSeek-R1, Whisper […]
- Predictive Tool Maintenance: oneAPI Enhances Aerospace Industry Application for Manufacturing
Intel Student Ambassador's tech talk at oneAPI DevSummit Oct'24
- Transform your AI Applications with Agentic LLM Workflows
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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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