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Articles récents
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Archives de catégorie : Non classé
Improving Video Understanding Through Graph-Based AI for Better Human Activity Recognition
Highlights GLEVR, a new graph-based AI framework from Intel and University of Colorado researchers, achieves more than 12% improvement in recognizing fine-grained keystep actions in first-person videos and wins the Ego-Exo4D keystep recognition challenge at CVPR 2025.The system leverages multiple … Continuer la lecture
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Monitoring and Debugging RAG Systems in Production
The article highlights how Intel® AI for Enterprise RAG enables oversight through tools for tracing data flow, performance telemetry, and log analysis. Happy to announce that the Intel® AI for Enterprise RAG version 1.5.0 has just been released.
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Agentic AI in Action: Transforming Health, Education, and Consumer Experiences
From hospital corridors to classroom desks, artificial intelligence is doubling its capabilities every six months—but the real breakthrough isn’t in what AI can do, it’s in how we’re finally making it work responsibly for real people.
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Powering AI-Driven Workflows: Intel’s Vision for the Future of Professional Computing
The race to operationalize AI isn’t about who’s fastest—it’s about who’s smartest. While the tech world obsesses over processing speeds and benchmark scores, enterprise leaders are asking different questions: Can this AI system actually integrate with our existing workflows? Will it … Continuer la lecture
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Deploying Deepseek models on Intel® Gaudi® accelerators using vLLM
Deepseek is a model that utilizes Deepseek Mixture of Experts (MoE) and Multi-Head Latent Attention (MLA). Weights are natively stored in FP8 with block quantization scales.It comes in two forms: V3, which is a standard model, and R1, which is … Continuer la lecture
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Powering Agentic AI with CPUs: LangChain, MCP, and vLLM on Google Cloud
Google Cloud now offers access to Intel® Xeon® 6 CPUs. These processors are well-suited for a variety of workloads, including agentic AI systems.
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How Intel Creates Better AI Video Understanding with Scene Graph Technology
Intel researchers developed EASG-Bench, a new benchmark with more than 1,800 question-answer pairs that tests how well AI models understand what happens in first-person videos by using structured scene graphs instead of narrative video descriptions
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Intel® Xeon 6® Processors: Delivering High Throughput and Low Latency with Data Center LLMs
When optimizing LLM workloads, hardware is only one piece of the equation. Intel brings decades of experience working with software developers, building a strong ecosystem to optimize software for Intel Xeon processors.
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AI PCs and the Future of Cybersecurity: AI-Powered Protection from Deepfakes
The rise of deepfakes has introduced a new dimension of risk in today’s digital landscape. What started as fringe technology is now a mainstream concern for consumers, businesses, and governments alike. For Leena Elias, Chief Product Officer at Gen Digital, … Continuer la lecture
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Powering Agentic AI with CPUs: LangChain, MCP, and vLLM on Google Cloud
With the launch of the C4 series, Google Cloud now offers access to Intel® Xeon® 6 processor with P-cores which are well-suited for a variety of workloads, including agentic AI systems.
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