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Neural networks news
Intel NN News
- Saturate your Tensor Cores: Intel at NVIDIA GTC 2026
CPU+GPU coordination took center stage at NVIDIA GTC 2026 when we announced that Intel Xeon 6 has […]
- Intel vPro Security Drives New AI PC Innovations with the Security Ecosystem
AI for security, security for AI, AI detection and response, prompt injection detection, agentic […]
- X86: The Enterprise Engine to Scale AI-Factory Deployments
Intel® Xeon® processors have been the most widely deployed host-node processors, with unmatched […]
- Saturate your Tensor Cores: Intel at NVIDIA GTC 2026
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Archives de catégorie : Non classé
Best Practices for Text-Classification with Distillation Part (3/4) – Word Order Sensitivity (WOS)
In this post, I introduce a metric for estimating the complexity level of your dataset and task, and I describe how to utilize it to optimize distillation performance.
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Best Practices for Text Classification with Distillation (Part 2/4) – Challenging Use Cases
In this blog, I intend to explore this method further and investigate other test classification datasets and sub-tasks in an effort to duplicate these results.
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Learning to Optimize Memory Allocation on Hardware using Reinforcement Learning
We describe a scalable framework that combines Deep RL with genetic algorithms to search in extremely large combinatorial spaces to solve a critical memory allocation problem in hardware.
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Best Practices for Text Classification with Distillation (Part 1/4) – How to achieve BERT results by
Model distillation is a powerful pruning technique, and in many use cases, it yields significant speedup and memory size reduction.
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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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