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Articles récents
- Multi-Modal Brand Agent: Connecting Visual Logos to Business Intelligence
- Building Efficient Multi-Modal AI Agents with Model Context Protocol (MCP)
- Intel Presents Novel Research at NAACL 2025
- Getting Started with Intel® Tiber™ AI Cloud
- AI Playground: Experience the Latest GenAI Software on AI PCs Powered by Intel® Arc™ Graphics
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Neural networks news
Intel NN News
- 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 […]
- Building Efficient Multi-Modal AI Agents with Model Context Protocol (MCP)
A deep dive into creating modular, specialized AI systems that rival large language models.
- Intel Presents Novel Research at NAACL 2025
Intel is proud to present four papers this year’s Annual Conference of the Nations of the […]
- Multi-Modal Brand Agent: Connecting Visual Logos to Business Intelligence
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Archives mensuelles : janvier 2023
Getting started with classical Machine Learning Frameworks using Google Colaboratory
Installing major machine learning frameworks optimized by Intel on Google Colaboratory (Colab)
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Training Causal Language Models on SDSC’s Gaudi-based Voyager Supercomputing Cluster
The SDSC Voyager supercomputer is an innovative AI system designed specifically for science and engineering research at scale. Funded by the National Science Foundation, Voyager represents a collaboration with the San Diego Supercomputer Center at UC San Diego, Supermicro, and Intel’s Habana Labs, facilitating … Continuer la lecture
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Top 10 Intel Labs Posts of 2022
Intel Labs presented many exciting research innovations in 2022. Read for a brief description of Intel Labs’ top 10 blogs for 2022.
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Intel Labs at The Winter Conference on Applications of Computer Vision
Intel presents five computer vision papers that detail novel works that include a Dynamic Scene Graph Detection Transformer, a Fast Learnable Once-for-all Adversarial Training method, a method for quantizing convolutional neural networks for efficient training, face access models applied in a hypothetical social network, and a … Continuer la lecture
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