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Articles récents
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
- Building AI With Empathy: Sorenson’s Mission for Accessibility
- Multi-node deployments using Intel® AI for Enterprise RAG
- Connected Data is the Future: How Neo4j Is Enabling the Next Generation of AI
- Orchestrating AI for Real Business Value: Google Cloud’s Approach to Scalable Intelligence
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Neural networks news
Intel NN News
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
Today’s AI workloads are not purely offloaded to GPU accelerators. Host CPUs such as the Intel® […]
- Multi-node deployments using Intel® AI for Enterprise RAG
As enterprises scale generative AI across diverse infrastructures, Intel® AI for Enterprise RAG […]
- Building AI With Empathy: Sorenson’s Mission for Accessibility
For Sorenson Senior Director of AI Mariam Rahmani, the future of AI isn’t about building the […]
- Intel® Xeon® Processors: The Most Preferred CPU for AI Host Nodes
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Archives mensuelles : février 2023
Meetup: CPU Accelerated Fine-Tuning for Image Segmentation using PyTorch
Register for Virtual Meetup on how to accelerate fine-tuning models on your CPU using PyTorch
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On-Demand Webinar: Optimize Transformer Model Performance with Intel and Hugging Face
Julien Simon of Hugging Face: increase productivity running transformers workloads on CPU platforms
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6 Trends Driving the AI Everywhere Boom
With AI Everywhere, businesses and organizations can use AI to automate tasks, improve decision-making, enhance customer experiences, and more. Discover the six trends that are setting the pace.AI in Industrial Automation
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Enabling In-Memory Computing for Artificial Intelligence Part 1: The Analog Approach
In this two-part series, we will explore and evaluate digital and analog computing and highlight the work that Intel Labs has done in the respective areas, starting with the analog approach.
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Talkin’ ‘Bout My Generative AI
It may not be trying to cause a big sensation, but this powerful technology is leading the headlines.
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Live Webinar: Getting Started with Habana: Deep Speed Optimization on Large Models
Live Webinar: Getting Started with Habana: Deep Speed Optimization on Large Models
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Intel oneAPI AI Tools and Frameworks Quick Reference
Download a guide with links to key resources for getting started with Intel oneAPI AI software.
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AI and HPC DevSummit 2022 Keynote: AI Software and Hardware Acceleration
Intel’s AI software, tools with hardware architectures are improving AI application performance
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Is Positional Encoding Required In All Language Models?
Peter Izsak is a Staff Research Scientist at Intel Labs, where he explores topics at the intersection of Deep Learning and Natural Language Processing. Highlights: Intel Labs performed a language model research study with Tel-Aviv University, University of Washington, and Meta AI. … Continuer la lecture
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