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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