At Intel Labs, we believe that responsible AI begins with ensuring the integrity and transparency of ML systems, from model training to inferencing, making the ability to verify model lineage an essential foundation of ethical ML development.
-
-
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
-
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
-