Archives mensuelles : juin 2024

Accelerating the Development and Use of Trustworthy Generative AI for Science and Engineering

The Trillion Parameter Consortium (TPC) is a collaboration between academic and research institute partners, industry, and vendors, along with labs and HPC centers that host some of the world’s most powerful supercomputers.

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A Closer Look at Intel Liftoff Startups Driving European Tech Manufacturing

Meet the Intel Liftoff startups pioneering AI in European manufacturing, central to Intel’s Silicon Junction project and vital for strengthening global trade.

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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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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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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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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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