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Articles récents
- Specialized Cognitive Experts Emerge in Large AI Reasoning Models
- Evaluating Trustworthiness of Explanations in Agentic AI Systems
- Unlocking AI Development with Windows* ML: Intel and Microsoft’s Strategic Partnership
- Multi-Modal Brand Agent: Connecting Visual Logos to Business Intelligence
- Building Efficient Multi-Modal AI Agents with Model Context Protocol (MCP)
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Neural networks news
Intel NN News
- Specialized Cognitive Experts Emerge in Large AI Reasoning Models
Intel researchers found that DeepSeek-R1 demonstrates greater semantic specialization in expert […]
- Evaluating Trustworthiness of Explanations in Agentic AI Systems
Intel Labs research published at the ACM CHI 2025 Human-Centered Explainable Workshop found that […]
- 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 […]
- Specialized Cognitive Experts Emerge in Large AI Reasoning Models
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Archives de catégorie : Non classé
Argilla: Bridging Human Intuition and Machine Efficiency with Intel®
Discover the groundbreaking technology behind Argilla, a trailblazing startup revolutionizing NLP. Proud member of Intel® Liftoff for Startups, Argilla’s journey from core consultancy to open-source innovation has captivated the tech world since 2017. Stay tuned for more on their remarkable … Continuer la lecture
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Beewant and Intel®: Pioneering the Future of Multimodal AI
Beewant is a deep-tech startup and a member of Intel® Liftoff that has its roots in data management and annotation. Spurred by the genAI revolution, they have created a multimodal AI platform that enables enterprises to aggregate, process, and interact … Continuer la lecture
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Efficient Inference and Training of Large Neural Network Models
oneAPI DevSummit for AI 2023: Efficient Inference and Training of Large Neural Network Models
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How Computer Vision and AI are Transforming Retail Technology
Many retailers operating brick-and-mortar stores are focused on creating convenient, frictionless shopping experiences while also improving their operational efficiency. With competition from online shopping and ongoing challenges such as loss prevention, stores are finding that advancing computer vision, AI, and … Continuer la lecture
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Food Sales Prediction Model using scikit-learn* (sklearn): Developer Spotlight
Developer Spotlight: Sayan Malakar proposed an AI solution for food sales prediction
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Accelerating Codegen training and inference on Habana Gaudi2
Optimum Habana makes it easy to achieve fast training and inference of large language models (LLMs) on Habana Gaudi2 accelerators. In this blog, we will walk through the process of performing Low-Rank Adaptation (LoRA) training of Codegen , an open-source LLM for … Continuer la lecture
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FAENet: Intel Labs and Mila Collaborate on Data-Centric AI Model for Materials Property Modeling
Intel and Mila collaborated on FAENet, a new data-centric model paradigm that improves both modeling and compute efficiency across different types of materials modeling datasets.
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New Possibilities for Generative AI SaaS: Intel® Liftoff Startups at Intel® Innovation 2023
Intel Innovation 2023 at the San Jose Convention Center is a global tech gathering focusing on AI, future-proof platforms, and startups, including six promising ones from the Intel Liftoff for Startups program. It’s a must-attend event for tech enthusiasts and … Continuer la lecture
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Terrain Analytics Uses Intel® 4th Gen Xeon CPUs To Achieve Higher Throughput with Lower Costs
Terrain Analytics, a finalist in Intel Liftoff’s AI startup Hackathon, offers HR leaders valuable insights into talent management. Their platform enhances hiring precision and cost-effectiveness for businesses.
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Single Cell RNA Analysis using Intel® AI Analytics Toolkit: Developer Spotlight
Krittika Kanjilal proposed solution for single-cell RNA analysis using Intel® AI Analytics Toolkit
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