Archives de catégorie : Non classé

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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