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Neural networks news
Intel NN News
- Why Agentic AI is the Future of AI
The rapid advancement of AI has captured the world’s attention and accelerated the rate of […]
- How Intel® Liftoff Accelerates AI Startups
Turning an AI idea into a real product is tough. See how Intel® Liftoff gives startups the tech, […]
- Intel Presents Latest Circuit Innovations at CICC 2025
Intel is proud to present four technical papers, an educational session and panel at this year's […]
- Why Agentic AI is the Future of AI
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Archives de catégorie : Non classé
Neural Compressor: Boosting AI Model Efficiency
In the age of the AI PC, AI-infused applications will become the norm, and developers are increasingly replacing traditional code fragments with AI models. This accelerating trend is unleashing exciting user experiences, enhancing productivity, providing new tools for creators, and … Continuer la lecture
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Developers, Hack with Intel at UC Berkeley’s AI Hackathon!
Join team Intel at UC Berkeley’s AI hackathon on June 22-23, 2024!
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Replacing Python loops: Aggregations and Reductions
How to replace slow Python loops by strategic function equivalents for aggregating data
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Dell Tech World 2024
Dell’s Tech World 2024 concluded with notable AI-infused core and partner offerings, including Intel’s AI PC and Gaudi 3 benefits. Keynote presentations highlighted how AI is following data to the device, with benefits for both developers and end-user experiences, along … Continuer la lecture
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2024 AI Trends
The 2024 AI Trends podcast talks about the top trends in AI that startups in the Intel Liftoff for Startups program.
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Advancing Gen AI on Intel Gaudi AI Accelerators with Multi-Modal Panorama Generation AI Technology
Researchers at Intel Labs introduced Language Model Assisted Generation of Images with Coherence, a generalizable AI framework that can create panorama, immersive videos, and 3D imagery from multiple input modalities
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N-Dimensional Gaussians for Fitting of High Dimensional Functions
In this blog post we introduce N-Dimensional Gaussians Fitting. Our method optimizes N-Dimensional Gaussians to approximate high dimensional anisotropic functions in a few minutes. Our parameterization, culling and optimization-controlled refinement allows us to quickly estimate Gaussian parameters to represent various … Continuer la lecture
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Employee Attrition Using Intel® oneAPI Tools: Developer Spotlight
An Intel® Student Ambassador’s success story
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Easily Develop and Deploy AI Applications with New Services on the Intel® Tiber™ Developer Cloud
New Services on the Intel® Tiber™ Developer Cloud
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VNDF importance sampling for an isotropic Smith-GGX distribution
In this blog post, we introduce an optimized importance sampling routine for GGX materials. Such materials are ubiquitous in games and VFX so our optimizations will benefit to a large number of content creators.
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