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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
Bring your own dataset and retrain a TensorFlow model with OpenVINO™ toolkit
Machine learning requires us to have existing data — not the data our application will use when we run it, but data to learn from.
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Enabling AI Everywhere by Accelerating the Open AI Software Ecosystem
Wei Li, Intel’s VP/GM AI & Analytics, discusses enabling an open AI ecosystem through Intel’s partnerships with Google, HuggingFace, and Accenture at the AI Summit in London.
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Enhance Artificial Intelligence (AI) Workloads with Built-in Accelerators
Intel DL Boost brings accelerated performance without the need for a discrete add-on accelerator.
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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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OpenVINO™ Toolkit Execution Provider for ONNX Runtime — Installation Now Made Easier
Installation Now Made Easier
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Intel Labs Accelerates Single-cell RNA-Seq Analysis
On a single instance of n2-highcpu-64 on GCP, the whole pipeline finishes in just 459 seconds (7.65 mins). This is nearly 40 times faster than the 5-hour CPU baseline that we started with. This is also nearly 1.5 times faster … Continuer la lecture
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Understanding of and by Deep Knowledge
How knowledge constructs can transform AI from surface correlation to comprehension of the world
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Learning Challenges Multitasking in the Human Brain and Artificial Neural Networks
The ability to learn tasks in a way that multiple ones can be performed simultaneously challenges both people and artificial neural networks.
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Women’s History Month: Meet the Women Innovating New Technologies at Intel Labs
Women researchers at Intel Labs are working on new technology every day. In honor of Women’s History Month, we would like to highlight their innovative work. Through their contribution of novel ideas, problem-solving skills, and collaborative team efforts, Intel Labs … Continuer la lecture
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Advancing Machine Intelligence: Why Context Is Everything
This blog will discuss the significance of context in ML, and how late binding context could raise the bar on machine enlightenment.
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