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

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

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

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

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

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

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

Sentiment Analysis for Real Estate Market Forecast

作者: 管理 最后更新时间: 2019/10/30 - 08:22

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: 2019/10/31 - 08:55