Model pruning is arguably one of the oldest methods of deep neural networks (DNN) model size reduction that dates to the 90s, and quite stunningly, is still a very active area of research in the AI community. Pruning in a nutshell, creates sparsely connected DNNs that intend to retain model performance as the original dense model.
-
-
Articles récents
- End-to-End Podcast Generation Using OpenNotebook on Intel® Xeon®: A Practical Guide
- ExecuTorch with OpenVINO Backend in 2026: New Capabilities and Updates
- Gemma 4 Models optimized for Intel Hardware: Enabling instant deployment from day zero
- Why Planning is the Most Crucial Step for Enterprise AI Readiness
- Saturate your Tensor Cores: Intel at NVIDIA GTC 2026
-
Neural networks news
Intel NN News
-