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Articles récents
- Practical Deployment of LLMs for Network Traffic Classification – Part 1
- Practical Deployment of LLMs for Network Traffic Classification
- Intel Labs Presents Latest Machine Learning Research Among Eight Papers at ICML 2025
- Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
- How Startups Can Benefit from Corporates: Learnings from Intel® Liftoff for AI Startups
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Neural networks news
Intel NN News
- Practical Deployment of LLMs for Network Traffic Classification - Part 1
Additional contributing authors: Rui Li, Vishakh Nair, Mrittika Ganguli Executive SummaryThe […]
- 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, […]
- Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
Souvik Kundu is a Staff Research Scientist at Intel Labs, leading scalable and efficient AI […]
- Practical Deployment of LLMs for Network Traffic Classification - Part 1
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Archives mensuelles : août 2024
Hacking the Future: Recapping The Inaugural Intel® Liftoff Days 2024
Welcome to our recap of our inaugural Intel® Liftoff Days 2024, a unique virtual hackathon event tailored exclusively for the program members. This week-long immersive tech acceleration experience offered our startup community a distinct opportunity to explore various cutting-edge topics … Continuer la lecture
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Customer Churn Prediction with Intel AI Tools: Developer Spotlight
Customer churn is defined as the number of people stopped being customers over a certain time frame. It is a key metric for business and a high customer churn rate indicates that the customer is no longer interested in the … Continuer la lecture
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Intel Research on LiDAR Localization with Semantic Awareness Receives Highlight Award at CVPR 2024
Researchers at Intel Labs, in collaboration with Xiamen University, have presented LiSA, the first semantic aware AI framework for highly accurate 3D visual localization. LiSA can leverage pre-trained semantic segmentation models to significantly improve state-of-the-art 3D visual localization accuracy, without … Continuer la lecture
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