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Chain of Things Solar Case Study: Blockchain+IoT Security

With partners ElectriCChain, SolarCoin, Solcrypto, Bitseed, IOTA, and RWE, the first Chain of Things Case Study Event focused on the secure logging of solar energy production data to a distributed blockchain ledger. Through multiple case studies, Chain of Things will develop a clearer picture of what an optimal IoT+blockchain stack should include and will determine if blockchain technology...
作者: 最后更新时间: 2018/07/10 - 08:00
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Power System Infrastructure Monitoring Using Deep Learning on Intel® Architecture

The work in this paper evaluates the performance of Intel® Xeon® processor powered machines for running deep learning on the GoogleNet* topology (Inception* v.
作者: 管理 最后更新时间: 2018/05/08 - 09:20
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New Case Study: Optimal Design with 5x Performance Boost

 

作者: Sally Sams (Intel) 最后更新时间: 2018/02/14 - 13:24
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Brain Tumor Segmentation using Fully Convolutional Tiramisu Deep Learning Architecture

The aim of the work was to implement, train and evaluate the quality of automated brain tumor multi-label segmentation technique for Magnetic Resonance Imaging based on Tiramisu deep learning architecture.
作者: Kocot, Szymon 最后更新时间: 2019/03/26 - 16:20
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Race Real Go-Karts in Virtual Reality with the Intel® NUC

The 4x4-inch Intel NUC is a prime example of how an innovative project in unexpected fields in entertainment and gaming industry can become a reality
作者: Amaral, Adam 最后更新时间: 2019/05/30 - 16:55
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使用英特尔® NUC 在虚拟现实中参加真实的卡丁车比赛

4X4 英寸英特尔 NUC 很好地证明了我们在娱乐和游戏行业等意想不到的领域中也能完成创新项目
作者: Amaral, Adam 最后更新时间: 2019/06/26 - 02:37
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Graph Attention Networks Using Intel® Optimization for Tensorflow* on Intel® Xeon® Scalable Processors

The adjacency matrix in real world graph is sparse. CPU systems without discrete hardware accelerators provide competitive training
作者: 管理 最后更新时间: 2019/07/08 - 11:12
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Optimizing Face Recognition Inference on Intel® Xeon® Scalable Processors

A face recognition inference experiment using Intel® Xeon® scalable processors showing the AI power of face recognition applications.
作者: 管理 最后更新时间: 2019/07/09 - 08:37
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Accelerate Deep Learning Applications Using Multiprocessing and Intel® Math Kernel Library (Intel® MKL) for Deep Neural Networks

DarwinAI’s Generative Synthesis platform uses Artificial Intelligence to generate compact, highly efficient neural network models from existing model
作者: 管理 最后更新时间: 2019/11/18 - 10:00