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Articles récents
- Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
- From Gold Rush to Factory: How to Think About TCO for Enterprise AI
- A Practical Guide to CPU-Optimized LLM Deployment on Intel® Xeon® 6 Processors on AWS.
- Bringing Polish AI to Life: Running Bielik LLMs Natively on Intel® Gaudi® 3 Accelerators
- Optimizing SLMs on Intel® Xeon® Processors: A llama.cpp Performance Study
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Neural networks news
Intel NN News
- Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
In real-world vector search performance tests, Intel® Xeon® server architectures outperform AMD […]
- From Gold Rush to Factory: How to Think About TCO for Enterprise AI
Less Gold Rush and more Boring Factory – The evolving AI mindset.
- A Practical Guide to CPU-Optimized LLM Deployment on Intel® Xeon® 6 Processors on AWS.
Deploying large language models no longer requires expensive GPUs or complex infrastructure. In […]
- Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
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Archives de catégorie : Non classé
AI Everywhere: Innovation 2022 Wrap-Up
Intel Innovation 2022 featured AI topics in keynotes, session tracks, demos, workshops, & hackathons.
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Empowering Red Hat* OpenShift* Data Science Platform with Intel AI
Use the Intel® AI Analytics Toolkit on the (RHODS) platform to speed up many parts of AI workflow
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Exploration on Confidential Computing for Big Data & AI using BigDL
Occlum* gives users the freedom to run programs in SGX without hassles presented by standard SGX SDK.
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OpenVINO™ integration With TensorFlow Now Comes With Docker Support
An illustrated guide on using Docker with Intel’s OpenVINO™ integration with Tensorflow*
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YOLOv5 Model INT8 Quantization based on OpenVINO™ 2022.1 POT API
How to use OpenVINOTM 2022.1 Post-training Optimization Tool (POT) API for YOLOv5 Model INT8
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The Example of Deploying YOLOv7 Pre-trained Model Based on the OpenVINO™ 2022.1 C++ API
How to deploy the YOLOv7 official pre-trained model based on the OpenVINO™ 2022.1 tool suite.
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Intel Labs’ Validate on Sim, Detect on Real (VSDR) Narrows Sim2Real Gap in Robot Learning
Intel Labs, in collaboration with the Technion – Israel Institute of Technology, developed a “Validate on Sim, Detect on Real” (VSDR) approach for learning robotic skills.
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Solving Hard Optimization Problems with Energy Efficient Neuromorphic Technology
At Intel, we are exploring stochastic spiking neural networks (SSNN) on our second-generation Loihi chip, which transmits data through patterns of pulses (or spikes) between neurons.
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Intel and Intel Labs Develop New AI Methods to Restore Trust in Media
Intel Labs’ trusted media research team investigates new approaches to help determine the authenticity of media content.
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The Power of Intel® Hardware for Billion-Scale Similarity Search
In this blog, we describe a solution that reaches new heights along all of these dimensions by leveraging the computational capabilities of Intel® Xeon® and the access characteristics of Optane™ Persistent Memory
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