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Intel Labs is developing an automated hardware-aware model optimization tool called BootstrapNAS to simplify the optimization of pre-trained AI models on Intel hardware, including Intel® Xeon® Scalable processors, which delivers built-in AI acceleration and flexibility. The tool will provide considerable … Continuer la lecture →

Near Memory Compute is becoming important for future AI processing systems that need improvement in system performance and energy-efficiency. The Von Neumann computing model requires data to commute from memory to compute and this data movement burns energy. Is it … Continuer la lecture →

Model Converter converts a public model into Inference Engine IR format using Model Optimizer

Optimize, tune, and run comprehensive AI inference with OpenVINO Toolkit.

How Intel’s AI tech innovation can be applied to solve healthcare challenges.

Discover how to use the Neural Network Compression Framework of the OpenVINOTM toolkit for 8-bit quantization in PyTorch

Intel® Optane™ persistent memory can help unify data access methods for temporal caching to improve data-centric workload performance.

Artificial intelligence (AI) is a powerful tool to transform vast amounts of manufacturing data into insights that can improve the manufacturing process. To maximize success, Intel has fine-tuned its approach to AI in manufacturing by focusing on those applications that … Continuer la lecture →

In this tutorial, we will show step-by-step how to quantize ONNX models with Intel® Neural Compressor.

Ce site contient les actualités du projet THINK ainsi que des liens utiles sur les techniques neuronales (cours, systèmes de développements, résultats comparaisons, etc …