Archives mensuelles : mai 2024

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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Accelerating PyTorch on Intel with DirectML support

Intel is proud to announce support for PyTorch with DirectML.

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Accelerating Language Models: Intel and Microsoft Collaborate to Bring Efficient LLM Experiences.

Propelling AI workloads with solutions to enable LLMs on a vast range of Intel client platforms

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How Intel® Liftoff AI Startups Are Impacting Europe’s Manufacturing Sector

Explore how Intel® Liftoff for Startups is transforming manufacturing through cutting-edge AI innovation.

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Intel’s Flexible AI App Development: Models, Optimizations, and Runtimes

Developers working on AI applications for Intel platforms have flexibility in their choices to make the development process more streamlined.

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Creative AI Projects Built at Intel-sponsored HackDavis 2024 Hackathon

Highlights from the University of California Davis HackDavis collegiate hackathon

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Federated Graph Neural Networks for Drug Discovery

Drug discovery is becoming slower and more expensive. Eroom’s law –Moore’s Law in reverse – is that the cost of Research and Development (R&D) of all new drugs approved has risen exponentially over the last 60 years. One of the … Continuer la lecture

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Intel Presents SYCL implementation of Fully-Fused Multi-Layer Perceptrons for Intel GPUs

Intel is proud to present the first SYCL implementation of fully-fused Multi-Layer Perceptrons applied on Intel GPUs that support Intel Xe Matrix Extensions (XMX) instructions and an open-sourced repository of the implementation

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