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LAIKA Studios & Intel Join Forces to Expand What’s Possible in Stop-Motion Filmmaking

See how LAIKA’s films and the company’s work with Intel’s Applied Machine Learning team and use of Intel® oneAPI tools helps it realize the limitless scope of stop-motion animation.

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An Open Road to Swift DataFrame Scaling

This podcast looks at the challenges of data preprocessing, especially time-consuming, data-wrangling tasks. It discusses how Intel and Omnisci are collaborating to provide integrated solutions that improve dataframe scaling.


Machine Learning Performance Results for Deep Learning Training on a CPU

Reflecting the broad range of AI workloads, Intel submitted results for Machine Learning Performance Training Release v0.7 in June 2020 for three training topologies: MiniGo, DLRM, and ResNet-50 v1.5. Results in each case demonstrated that Intel continues to raise the bar for training on general purpose CPUs.

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Optimize XGBoost Training Performance

Compare the training performance of XGBoost 1.1 on a CPU with third-party GPUs. Learn more about the optimizations introduced to this popular gradient boosting trees algorithm.

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Intel and Facebook Accelerate PyTorch Performance

Harnessing the new bfloat16 capability in Intel® Deep Learning Boost, the team substantially improved PyTorch performance across multiple training workloads on 3rd generation Intel® Xeon® Scalable processors.

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Treatise of Medical Image Processing: COVID-19 Recognition -19

Read about a new proposal that uses an AI-based analytics system to detect COVID-19 from chest X-rays and CT radiographs.

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Product and Performance Information


Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

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