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Articles récents
- Reduce Downtime Up To 50% by Utilizing AI-Ready RAS Features of Intel® Xeon® Processors
- How to Fine-Tune an LLM on Intel® GPUs With Unsloth
- Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
- From Gold Rush to Factory: How to Think About TCO for Enterprise AI
- A Practical Guide to CPU-Optimized LLM Deployment on Intel® Xeon® 6 Processors on AWS.
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Neural networks news
Intel NN News
- Reduce Downtime Up To 50% by Utilizing AI-Ready RAS Features of Intel® Xeon® Processors
As generative and agentic AI use cases proliferate across nearly every industry, improving the […]
- How to Fine-Tune an LLM on Intel® GPUs With Unsloth
Fine-tuning an LLM doesn’t have to require massive infrastructure. With Unsloth now supporting […]
- Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
In real-world vector search performance tests, Intel® Xeon® server architectures outperform AMD […]
- Reduce Downtime Up To 50% by Utilizing AI-Ready RAS Features of Intel® Xeon® Processors
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Archives mensuelles : juin 2025
Intel Labs’ Kid Space Conversational AI Facilitates Collaborative Problem-Solving Among Students
Scientists involved in the multi-year research project completed several prototype studies, demonstrating the potential of the program to facilitate student engagement in various learning environments, including classrooms, after-school programs, and home-based learning. The final Kid Space research study shows the value … Continuer la lecture
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HPE Sets World Record with HPE ProLiant DL380 Gen11 Server powered by 5th Gen Intel® Xeon® Processor
Hewlett Packard Enterprises (HPE) set a world record for the TPC Benchmark™ Express AI (TPCx-AI) SF100 benchmark.
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New Atlas CLI Open Source Tool Manages Machine Learning Model Provenance and Transparency
Intel Labs offers Atlas CLI, an open source tool for managing machine learning (ML) model provenance, including model artifact integrity and model lineage in ML pipelines
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Intel Labs Presents Leading Multimodal and Agentic Research at CVPR 2025
Intel Labs researchers will present eleven papers at conference workshops as part of CVPR 2025. These works include a framework for systematic hierarchical analysis of vision model representations; a flexible graph-learning framework for fine-grained keystep recognition; and a novel interpretability … Continuer la lecture
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Intel Brings the Future of Retail to Life at Cisco Live in San Diego
At Cisco Live 2025 in San Diego, Intel is redefining what’s possible for the retail industry.
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Building Agentic Systems for Preventative Healthcare with AutoGen
This blog demonstrates the preventative healthcare outreach agentic system built using AutoGen.
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Making Vector Search Work Best for RAG
This blog in the series on Scalable Vector Search summarizes insights from our study on optimizing vector search settings in RAG systems and offers actionable guidelines for improving RAG pipeline efficiency and effectiveness.
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