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Articles récents
- Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
- Document Summarization: Transforming Enterprise Content with Intel® AI for Enterprise RAG
- AutoRound Meets SGLang: Enabling Quantized Model Inference with AutoRound
- In-production AI Optimization Guide for Xeon: Search and Recommendation Use Case
- Argonne’s Aurora Supercomputer Helps Power Breakthrough Simulations of Quantum Materials
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Neural networks news
Intel NN News
- 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 […]
- Document Summarization: Transforming Enterprise Content with Intel® AI for Enterprise RAG
Transform enterprise documents into insights with Document Summarization, optimized for Intel® […]
- AutoRound Meets SGLang: Enabling Quantized Model Inference with AutoRound
We are thrilled to announce an official collaboration between SGLang and AutoRound, enabling […]
- Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
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Archives mensuelles : avril 2025
Streamlining AI Development: Building and Deploying with Podman, Red Hat OpenShift AI, and OPEA
How developers can optimize performance of AI applications with Podman, Red Hat OpenShift AI, and OPEA
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AI PC: Achieving Success at Scale with Windows Copilot + Experiences
Highlights from Intel AI DevSummit Keynote
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Introducing OPEA: The Open Platform for Enterprise AI
AI startups move fast, but enterprise integration slows them down. OPEA offers an open, production-ready foundation to build GenAI apps faster, cheaper, and with less friction.
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Optimizing AI for Scaled Adoption
Every technology has a lifecycle, and generative AI (GenAI) is no exception. While it continues to quickly evolve with innovations like retrieval augmented generation (RAG) and multi-agent or agentic AI, the core of generative AI large language models (LLMs) is … Continuer la lecture
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Why Agentic AI is the Future of AI
The rapid advancement of AI has captured the world’s attention and accelerated the rate of innovation across industries. Its capabilities are remarkable: different AI models can draft business proposals, solve complex math equations and automate customer service.
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How Intel® Liftoff Accelerates AI Startups
Turning an AI idea into a real product is tough. See how Intel® Liftoff gives startups the tech, mentorship, and momentum to make it real.
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Intel Presents Latest Circuit Innovations at CICC 2025
Intel is proud to present four technical papers, an educational session and panel at this year’s CICC conference, where Intel’s paper on Sparse GEMM acceleration was also nominated for Best Paper
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The Power of the NPU: Enhancing Adobe Premiere Pro’s Audio Tagging Feature
Better sound, less work. See how Premiere Pro’s NPU-accelerated AI Audio Tagging streamlines your audio editing workflow.
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Dimensionality Reduction for Scalable Vector Search
In this post, we present LeanVec, a framework that combines dimensionality reduction with vector quantization to accelerate vector search on high-dimensional vectors while maintaining high accuracy in settings with out-of-distribution queries.
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Intel® Liftoff Days Q1 2025: Building Better AI, Together
A week of hands-on product development, mentoring, and tech workshops brought Intel® Liftoff startups closer to real-world impact. Here’s what we saw and what’s next.
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