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Articles récents
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- From FLOPs to Watts: Energy Measurement Skills for Sustainable AI in Data Centers
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Neural networks news
Intel NN News
- Deciphering the AI Startup Ecosystem: Insights from the Intel® Liftoff AI Startups Index Report
Intel’s AI Startup Index Report 2024, published by Intel® Liftoff for AI Startups, offers an […]
- From FLOPs to Watts: Energy Measurement Skills for Sustainable AI in Data Centers
Energy transparency is increasingly a priority for policymakers in the responsible deployment and […]
- Advent of Multimodal AI Hackathon: A Recap of Innovation and Global Talent
Discover the highlights of the Advent of Multimodal AI Hackathon, where global talent came together […]
- Deciphering the AI Startup Ecosystem: Insights from the Intel® Liftoff AI Startups Index Report
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Five Reasons for Choosing Intel® Xeon® 6 Processors to Drive AI Success
While GPU and AI accelerator products will always play an important role for AI use cases, the host CPU will remain critical for new-age AI-accelerated systems. Intel® Xeon® processors are best positioned to support critical AI workloads as the host … Continuer la lecture
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Beyond GPUs: Why JamAI Base Moved Embedding Models to Intel® Xeon® CPUs
What if a spreadsheet could think, create, and collaborate? Thanks to Intel® Liftoff member Embedded LLM and their innovative platform, JamAI Base, the familiar spreadsheet transforms into an AI powerhouse. From auto-generating content and extracting data from images to building … Continuer la lecture
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PyTorch Enhancements for Accelerator Abstraction
Optimizing the PyTorch Frontend to support diverse AI accelerators
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CLIP-InterpreT: Paving the Way for Transparent and Responsible AI in Vision-Language Models
CLIP-InterpreT offers a suite of five interpretability analyses to understand the inner workings of Contrastive Language-Image Pretraining (CLIP) vision-language models, which is crucial for responsible artificial intelligence (AI) development.
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The 24.11 Intel® Tiber™ Edge Platform Release is Now Available.
This release includes support for onboarding new set of optimized applications and software, plus support for multi-tenancy and simplified concurrent onboarding of multiple edge nodes.
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LVLM-Interpret: Explaining Decision-Making Processes in Large Vision-Language Models
Understanding the internal mechanisms of large vision-language models (LVLMs) is a complex task. LVLM-Interpret helps users understand the model’s internal decision-making processes, identifying potential responsible artificial intelligence (AI) issues such as biases or incorrect associations. The tool adapts multiple interpretability … Continuer la lecture
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Unlocking the Future of AI with Federated Learning
OpenFL 1.6 Is Released and Federated Learning for Healthcare Is Showcasing Exciting Possibilities
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Building Trust in AI: An End-to-End Approach for the Machine Learning Model Lifecycle
At Intel Labs, we believe that responsible AI begins with ensuring the integrity and transparency of ML systems, from model training to inferencing, making the ability to verify model lineage an essential foundation of ethical ML development.
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Intel Presents Novel AI Research at NeurIPS 2024
The Conference on Neural Information Processing Systems (NeurIPS 2024) will run from Tuesday, December 10th, through Sunday, December 15th, at the Vancouver Convention Center in Vancouver, B.C., Canada. This year, Intel presents 36 papers at NeurIPS, including eight at the main … Continuer la lecture
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How Ultralytics is Advancing AI with YOLO Models and Intel’s Support
Discover how Ultralytics tackles real-world challenges with customized YOLO models, solving problems from hazardous zone monitoring to parking management.
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