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Articles récents
- Orchestrating AI for Real Business Value: Google Cloud’s Approach to Scalable Intelligence
- Curious Case of Chain of Thought: Improving CoT Efficiency via Training-Free Steerable Reasoning
- Intel Labs Works with Hugging Face to Deploy Tools for Enhanced LLM Efficiency
- AI’s Next Frontier: Human Collaboration, Data Strategy, and Scale
- Efficient PDF Summarization with CrewAI and Intel® XPU Optimization
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Neural networks news
Intel NN News
- Orchestrating AI for Real Business Value: Google Cloud’s Approach to Scalable Intelligence
In the race to operationalize AI, success hinges not on hype, but on clarity, customization, and […]
- Curious Case of Chain of Thought: Improving CoT Efficiency via Training-Free Steerable Reasoning
Researchers from the University of Texas at Austin and Intel Labs investigated chain-of-thought […]
- AI’s Next Frontier: Human Collaboration, Data Strategy, and Scale
Ramtin Davanlou, CTO of the Accenture and Intel Partnership, explores what it really takes for […]
- Orchestrating AI for Real Business Value: Google Cloud’s Approach to Scalable Intelligence
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Archives mensuelles : juillet 2025
Building a Sovereign and Future-Proof Foundation with TrustGraph
TrustGraph, an Intel Liftoff startup, is redefining enterprise AI with open-source transparency and full-stack control. See how they built it – read more now.
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From Cloud to Laptop: How Slipbox Brought Whisper and Qwen3 to Intel AI PCs
Intel and Fluid Inference optimized transformer models to run locally on Intel AI PCs, enabling private, real-time AI. Read on to discover how this breakthrough was achieved.
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LAIbel by Envisionairy: A Smarter Way to Label Images for AI Training
lAIbel is an open-source image labeling platform that works in any browser locally or in the cloud. Built to speed up dataset preparation for computer vision, it combines a clean GUI with AI-assisted auto-labeling.
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Fine-Tuning DeepSeek-R1-Distill-Qwen-1.5B Reasoning Model on Intel Max Series GPUs
In this article, we focus on fine-tuning the DeepSeek-R1-Distill-Qwen-1.5B Reasoning Model to improve its performance on task-specific data using Intel® Data Center GPU Max 1100 GPU.
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Building Efficient Agentic RAG System with SmolAgents and Intel GPU Acceleration
An in-depth look at building lightweight, tool-augmented AI agents using hybrid retrieval and local LLMs for high-performance document QA.
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Securing AI Beyond Shadow Practices: Insights from the Intel® Liftoff Startup Ecosystem
Shadow AI is rising fast. Intel® Liftoff startups are building secure, scalable tools to protect data, ensure compliance, and bring AI safely into enterprise workflows.
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Tackling Network Security: AI Agents at the Edge with Red Hat AI on Intel® Processors and Graphics
Executive Summary: The cybersecurity landscape is evolving rapidly, with organizations facing increasingly sophisticated threats that traditional security measures struggle to counter. As enterprise networks grow in complexity and scale, fueled by 5G, edge computing, and AI workloads, so do the … Continuer la lecture
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Practical Deployment of LLMs for Network Traffic Classification – Part 1
Additional contributing authors: Rui Li, Vishakh Nair, Mrittika Ganguli Executive Summary The integration of Generative AI and Large Language Models (LLMs) into network security and operational management presents transformative opportunities for enhancing application identification and traffic classification. Traditional methods that … Continuer la lecture
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Practical Deployment of LLMs for Network Traffic Classification
EXECUTIVE SUMMARY The integration of Generative AI and Large Language Models (LLMs) into network security and operational management presents transformative opportunities for enhancing application identification and traffic classification. Traditional methods that rely on literal matching and regex-based software flows face … Continuer la lecture
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Intel Labs Presents Latest Machine Learning Research Among Eight Papers at ICML 2025
Intel Labs is excited to present six works at this year’s ICML conference in Vancouver Canada, including two spotlight papers, one of which is also an oral presentation. Intel researchers will also present two works at related conference workshops
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