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Articles récents
- Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
- From Gold Rush to Factory: How to Think About TCO for Enterprise AI
- A Practical Guide to CPU-Optimized LLM Deployment on Intel® Xeon® 6 Processors on AWS.
- Bringing Polish AI to Life: Running Bielik LLMs Natively on Intel® Gaudi® 3 Accelerators
- Optimizing SLMs on Intel® Xeon® Processors: A llama.cpp Performance Study
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Neural networks news
Intel NN News
- Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
In real-world vector search performance tests, Intel® Xeon® server architectures outperform AMD […]
- From Gold Rush to Factory: How to Think About TCO for Enterprise AI
Less Gold Rush and more Boring Factory – The evolving AI mindset.
- A Practical Guide to CPU-Optimized LLM Deployment on Intel® Xeon® 6 Processors on AWS.
Deploying large language models no longer requires expensive GPUs or complex infrastructure. In […]
- Intel® Xeon® Processors Set the Standard for Vector Search Benchmark Performance
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Archives de catégorie : Non classé
The Power of Intel® Hardware for Billion-Scale Similarity Search
In this blog, we describe a solution that reaches new heights along all of these dimensions by leveraging the computational capabilities of Intel® Xeon® and the access characteristics of Optane™ Persistent Memory
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Celebrating Hispanic Heritage: Javier Turek’s Story from Intel Labs
During Hispanic Heritage Month, we proudly celebrate the culture and contributions of the Latinx community.
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Kid Space: Re-imagining the Potential of Technology-Mediated Learning
Kid Space incorporates audio and vision hardware components and AI technologies to create an adaptive and engaging learning environment.
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Intent Prediction Improves Human-robot Collaboration Task Fluency
Intel Labs will present the paper “Intuitive & Efficient Human-Robot Collaboration via Real-time Approximate Bayesian Inference” at IROS 2022 in Kyoto.
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Distributed Large-Scale Graph Training on Intel CPUs Presented at MLSys 2022
We present our open sourced Sequential Aggregation and Rematerialization (SAR) scheme, which achieves impressive results on common graph learning benchmarks in terms of speed and memory efficiency.
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Beyond Input-Output Reasoning: Four Key Properties of Cognitive AI
Published August 16, 2022 Image credit: James Thew via Adobe Stock. Gadi Singer is Vice President and Director of Emergent AI Research at Intel Labs leading the development of the third wave of AI capabilities. The Necessity of World Model, … Continuer la lecture
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VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers
We developed VL-InterpreT, an interactive tool that provides novel visualizations and analysis for interpreting the attentions and hidden representations in multimodal transformers. Our paper on VL-InterpreT won the Best Demo Award at CVPR 2022.
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A Guide to AI Partner and Accelerator Programs for Startups
What to look for in AI Partner and Accelerator Programs for Startups and Collaborating with Intel on AI
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Enabling AI Developers on Their Journey to Scale with Intel AI
Overview and link to Ramtin Davanlou, from Accenture* presentation at the oneAPI DevSummit for AI.
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Multimodality: A New Frontier in Cognitive AI
In this blog, we will introduce the concept of multimodal learning along with some of its main use cases, and discuss the progress made at Intel Labs towards creating of robust multimodal reasoning systems.
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