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Articles récents
- Accelerating Llama 3.3-70B Inference on Intel® Gaudi® 2 via Hugging Face Text Generation Inference
- Exploring Vision-Language Models (VLMs) with Text Generation Inference on Intel® Data Center GPU Max
- A Journey Towards Approaching “Why” Question-Answering for Video
- From Infrastructure to Impact: How Dell is Scaling AI
- Intel Labs’ Kid Space Conversational AI Facilitates Collaborative Problem-Solving Among Students
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Neural networks news
Intel NN News
- Accelerating Llama 3.3-70B Inference on Intel® Gaudi® 2 via Hugging Face Text Generation Inference
Learn how to deploy Llama 3.3-70B on Intel® Gaudi® 2 AI accelerators using Hugging Face TGI, with […]
- Exploring Vision-Language Models (VLMs) with Text Generation Inference on Intel® Data Center GPU Max
Supercharge VLM deployment with TGI on Intel XPUs. This guide shows how to set up, optimize, and […]
- Evaluating Trustworthiness of Explanations in Agentic AI Systems
Intel Labs research published at the ACM CHI 2025 Human-Centered Explainable AI Workshop found that […]
- Accelerating Llama 3.3-70B Inference on Intel® Gaudi® 2 via Hugging Face Text Generation Inference
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Archives mensuelles : mai 2025
GenAI-driven Music Composer Chorus.AI: Developer Spotlight
An Intel® Student Ambassador’s GenAI solution for music composition
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Tangible Immersion: How Intel Labs Programs Cobots Using Haptic Mixed Reality
Using programming-by-demonstration for collaborative robots (cobots), Intel Labs researchers employ a novel framework for mixed reality for local and remote teleoperation and task automation
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AI Hacks for Marketing and Sales
5 AI hacks every founder should know. Learn how to personalize outreach, sharpen pitches, validate products, and move faster without losing focus or customer trust.
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What Startups Built This Time at Intel® Liftoff Days
The latest Intel® Liftoff Days was a sprint full of progress, teamwork, and fresh ideas. Here’s what happened and why these weeks keep delivering.
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Vision Transformers (ViTs) are revolutionizing the video analytic in the Edge
Vision transformers (ViTs) can offer greater accuracy in image recognition, classification, segmentation, and computer vision tasks. They also offer more efficient inferencing than existing video analytics technology. In this post, we will look at: How vision transformers workWhy they can … Continuer la lecture
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Low-Power AI: Driving the Next Era of Efficient Intelligence
Falcons.AI’s 4MB neural network mimics the brain to cut power use by 10x, delivering accurate image recognition on edge devices with limited resources.
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Specialized Cognitive Experts Emerge in Large AI Reasoning Models
Intel researchers found that DeepSeek-R1 demonstrates greater semantic specialization in expert routing compared to earlier mixture of experts (MoE) models
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Evaluating Trustworthiness of Explanations in Agentic AI Systems
Intel Labs research published at the ACM CHI 2025 Human-Centered Explainable Workshop found that multi-agent artificial intelligence (AI) systems create novel challenges for explainability, transparency, and trustworthiness
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Unlocking AI Development with Windows* ML: Intel and Microsoft’s Strategic Partnership
We are thrilled to introduce a technical preview of Windows ML, enhanced by the built-in performance advantage of the OpenVINO™ toolkit on Intel hardware. This allows developers to seamlessly leverage AI inferencing capabilities in Windows applications, marking a significant milestone … Continuer la lecture
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Multi-Modal Brand Agent: Connecting Visual Logos to Business Intelligence
Identify brands from logos and retrieve business data in seconds. This AI agent links vision models and search tools – optimized for local, Intel-accelerated deployment.
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