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Articles récents
- Mamba-Shedder: Intel Labs Explores Efficient Compression of Selective Structured State Space Models
- Driving Industrial Innovation with AI at the Edge: Open Platforms Leading the Way
- Deploying Scalable Enterprise RAG on Kubernetes with Ansible Automation
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Neural networks news
Intel NN News
- Intel Labs’ Innovative Low-Rank Model Adaptation Increases Model Accuracy and Compression
Intel Labs’ Neural Low-Rank Adapter Search (NLS) produces accurate models with INT4 weights and […]
- Mamba-Shedder: Intel Labs Explores Efficient Compression of Selective Structured State Space Models
Utilizing block pruning techniques, Intel Labs researchers developed the Mamba-Shedder solution to […]
- Driving Industrial Innovation with AI at the Edge: Open Platforms Leading the Way
Industrial enterprises need more than just AI to scale technology across diverse environments. They […]
- Intel Labs’ Innovative Low-Rank Model Adaptation Increases Model Accuracy and Compression
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Archives mensuelles : janvier 2023
Getting started with classical Machine Learning Frameworks using Google Colaboratory
Installing major machine learning frameworks optimized by Intel on Google Colaboratory (Colab)
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Training Causal Language Models on SDSC’s Gaudi-based Voyager Supercomputing Cluster
The SDSC Voyager supercomputer is an innovative AI system designed specifically for science and engineering research at scale. Funded by the National Science Foundation, Voyager represents a collaboration with the San Diego Supercomputer Center at UC San Diego, Supermicro, and Intel’s Habana Labs, facilitating … Continuer la lecture
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Top 10 Intel Labs Posts of 2022
Intel Labs presented many exciting research innovations in 2022. Read for a brief description of Intel Labs’ top 10 blogs for 2022.
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Intel Labs at The Winter Conference on Applications of Computer Vision
Intel presents five computer vision papers that detail novel works that include a Dynamic Scene Graph Detection Transformer, a Fast Learnable Once-for-all Adversarial Training method, a method for quantizing convolutional neural networks for efficient training, face access models applied in a hypothetical social network, and a … Continuer la lecture
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