-
-
Articles récents
- In-production AI Optimization Guide for Xeon: Search and Recommendation Use Case
- Argonne’s Aurora Supercomputer Helps Power Breakthrough Simulations of Quantum Materials
- Argonne’s Aurora Supercomputer Drives Simulations to Explore How Light Shapes Quantum Materials
- AERIS Earth Systems Model Pushes AI for Science to New Heights
- Leveraging Edge AI for Business Innovation
-
Neural networks news
Intel NN News
- In-production AI Optimization Guide for Xeon: Search and Recommendation Use Case
In this guide, you'll learn multiple aspects of optimizing the Search and Recommendation model […]
- AERIS Earth Systems Model Pushes AI for Science to New Heights
Researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory introduce AERIS, […]
- Argonne’s Aurora Supercomputer Drives Simulations to Explore How Light Shapes Quantum Materials
Researchers using the Aurora supercomputer at the U.S. Department of Energy’s Argonne National […]
- In-production AI Optimization Guide for Xeon: Search and Recommendation Use Case
-
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)
Publié dans Non classé
Laisser un commentaire
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
Publié dans Non classé
Laisser un commentaire
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.
Publié dans Non classé
Laisser un commentaire
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
Publié dans Non classé
Laisser un commentaire