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Articles récents
- Is Your Data Ready for AI? Steps to Improve Data Quality
- Building High-Performance Image Search with OpenCLIP, Chroma, and Intel® Max GPUs
- Accelerating Your AI Journey
- Intel® Gaudi® 2 in Action: How neoAI Delivers GenAI at Enterprise Scale
- Waveye: How Intel® oneAPI Accelerates Radar Processing for Worker Safety
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Neural networks news
Intel NN News
- Building High-Performance Image Search with OpenCLIP, Chroma, and Intel® Max GPUs
Create powerful multimodal databases that connect text and images. See how Chroma, OpenCLIP, and […]
- Is Your Data Ready for AI? Steps to Improve Data Quality
When adopting and leveraging AI — whether at the edge or in the data center — it’s important […]
- Accelerating Your AI Journey
From chatbots to predictive analytics and process automation, AI is revolutionizing the workforce […]
- Building High-Performance Image Search with OpenCLIP, Chroma, and Intel® Max GPUs
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Archives mensuelles : août 2022
No One Rung to Rule Them All: Addressing Scale and Expediency in Knowledge-Based AI
Published October 26, 2021 Image adapted from Elentaris Photo / Shutterstock.com Gadi Singer is Vice President and Director of Emergent AI Research at Intel Labs leading the development of the third wave of AI capabilities. Cognitive AI, hierarchy of knowledge, … Continuer la lecture
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Intel® Labs’ Graph Neural Networks Research Featured as Groundbreaking Work in AI
Research finds that reversible Graph Neural Networks (RevGNNs) significantly outperform existing methods on multiple datasets and improve large models’ memory efficiency for AI applications.
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Sentence Transformer Fine-Tuning (SetFit)
In this work, we demonstrate Sentence Transformer Fine-tuning (SetFit), a simple and efficient alternative for few-shot text classification. The method is based on fine-tuning a Sentence Transformer with task-specific data and can easily be implemented with the sentence-transformers library.
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LM!=KM: Five Reasons Why Language Models Fail to Support Knowledge Model Requirements of Next-Gen AI
This post will discuss the five capabilities that make up an advanced KM and how these areas cannot be easily addressed by LMs in their present form. These capabilities are Scalability, Fidelity, Adaptability, Richness and Explainability.
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Intel Labs Enables AI Innovation with Hardware-Aware Automated Machine-Learning Tools
Intel Labs’ hardware-aware AI-based automation tools (AutoX) enable rapid adoption of AI models for different deployments to address productivity challenges.
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Democratizing AI by Delivering Hardware Performance and Developer Productivity At Scale
In his keynote presentation from the oneAPI DevSummit for AI 2022, Wei Li, VP/GM AI & Analytics at Intel, is joined by Jean-Luc Chatelain, CTO of Accenture Applied Intelligence to launch new AI reference kits for industry-specific use cases.
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Hybrid AI Inferencing managed with Microsoft Azure Arc-Enabled Kubernetes
Azure Arc-Enabled Kubernetes enables centralized management of heterogenous and geographically separate Kubernetes clusters from Azure public cloud.
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Python* Data Science at Scale
Learn about how Intel has been working to improve performance of popular Python* libraries
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