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Articles récents
- Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
- Document Summarization: Transforming Enterprise Content with Intel® AI for Enterprise RAG
- AutoRound Meets SGLang: Enabling Quantized Model Inference with AutoRound
- In-production AI Optimization Guide for Xeon: Search and Recommendation Use Case
- Argonne’s Aurora Supercomputer Helps Power Breakthrough Simulations of Quantum Materials
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Neural networks news
Intel NN News
- Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
Intel® Xeon® processors can deliver a CPU-first platform built for modern AI workloads without […]
- Document Summarization: Transforming Enterprise Content with Intel® AI for Enterprise RAG
Transform enterprise documents into insights with Document Summarization, optimized for Intel® […]
- AutoRound Meets SGLang: Enabling Quantized Model Inference with AutoRound
We are thrilled to announce an official collaboration between SGLang and AutoRound, enabling […]
- Next-Gen AI Inference: Intel® Xeon® Processors Power Vision, NLP, and Recommender Workloads
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Archives mensuelles : décembre 2024
Unlocking the Future of AI with Federated Learning
OpenFL 1.6 Is Released and Federated Learning for Healthcare Is Showcasing Exciting Possibilities
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Building Trust in AI: An End-to-End Approach for the Machine Learning Model Lifecycle
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.
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Intel Presents Novel AI Research at NeurIPS 2024
The Conference on Neural Information Processing Systems (NeurIPS 2024) will run from Tuesday, December 10th, through Sunday, December 15th, at the Vancouver Convention Center in Vancouver, B.C., Canada. This year, Intel presents 36 papers at NeurIPS, including eight at the main … Continuer la lecture
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How Ultralytics is Advancing AI with YOLO Models and Intel’s Support
Discover how Ultralytics tackles real-world challenges with customized YOLO models, solving problems from hazardous zone monitoring to parking management.
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From Centralized Machine Learning to Federated Learning with OpenFL
The Federated Learning (FL) machine learning paradigm addresses model bias through diverse data, while maintaining privacy and security for data owners.
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Intel Researchers Organize Workshops & Socials at NeurIPS 2024
Intel employees have organized several workshops at NeurIPS 2024, which are co-located with this year’s conference, including AI for Accelerated Materials Design (AI4Mat-NeurIPS-2024), Breaking Silos Open Community for AI x Science, Responsibly Building the Next Generation of Multimodal Foundational Models, … Continuer la lecture
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Introducing OpenFL 1.6: Federated LLM Fine-Tuning and Evaluation
The most recent OpenFL release enables the next wave of federated learning development.
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