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Articles récents
- How Intel® Liftoff Startups Are Winning with DeepSeek
- Finetuning & Inference on GenAI Models using Optimum Habana and the GPU Migration Toolkit on Intel®
- Agentic AI and Confidential Computing: A Perfect Synergy for Secure Innovation
- AI PC Pilot Hackathon ‘24 Where Intel® Student Ambassadors Built High-performance AI Solutions
- Discover the Power of DeepSeek-R1: A Cost-Efficient AI Model
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Neural networks news
Intel NN News
- Intel Labs AI Tool Research Protects Artist Data and Human Voices from Use by Generative AI
The Trusted Media research team at Intel Labs is working on several projects to help artists and […]
- How Intel® Liftoff Startups Are Winning with DeepSeek
From security and efficiency to testing, Intel® Liftoff Startups have jumped at the chance to […]
- AI PC Pilot Hackathon ‘24 Where Intel® Student Ambassadors Built High-performance AI Solutions
Top projects built by Intel® Student Ambassadors at the AI PC Pilot hackathon ’24.
- Intel Labs AI Tool Research Protects Artist Data and Human Voices from Use by Generative AI
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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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