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Articles récents
- 3 Recent Updates to the Intel Tiber AI Cloud for Developers
- Predictive Tool Maintenance: oneAPI Enhances Aerospace Industry Application for Manufacturing
- GenAI Winner Projects Built on Intel® Tiber™ AI Cloud at 2024 Collegiate Hackathons
- Optimize LLM serving with vLLM on Intel® GPUs
- Intel® Liftoff Startups TurinTech AI and Kamiwaza AI To Showcase at Intel® Vision 2025
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Neural networks news
Intel NN News
- 3 Recent Updates to the Intel Tiber AI Cloud for Developers
Unlock AI's potential with Intel Tiber AI Cloud: new PyTorch, oneAPI updates, DeepSeek-R1, Whisper […]
- Predictive Tool Maintenance: oneAPI Enhances Aerospace Industry Application for Manufacturing
Intel Student Ambassador's tech talk at oneAPI DevSummit Oct'24
- GenAI Winner Projects Built on Intel® Tiber™ AI Cloud at 2024 Collegiate Hackathons
GenAI solutions built on Intel Tiber AI Cloud: Winners of 2024 collegiate hackathons
- 3 Recent Updates to the Intel Tiber AI Cloud for Developers
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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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