The Intel® Network Academy is a comprehensive training program covering network transformation, Network Functions Virtualization (NFV), Software Defined Networking (SDN) and beyond. The training is intended to assist communications service providers improve their knowledge of key Intel technologies, indust...
algorithms, applications and systems in the computing field, said Qian Depei, who is a computer scientist, an academician of the Chinese Academy of Sciences and the leader of the platform's expert panel.
Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan 250013, China * Authors to whom correspondence should be addressed. Drones 2023, 7(3), 165; https:...
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Machine learning enables computer scientists to push technology into the future with breakthroughs like Siri and self-driving cars. In this academy experience, you’ll explore advanced Python programming concepts through cryptography, such as complex puzzles and ciphers, and work with industry-standard ...
The results demonstrate that, when tensor-network pre-training is introduced into the neural network, a high efficiency can be achieved for quantum many-body systems with strong correlations. Keywords: quantum mechanics; neural network quantum state; high-performance simulations; strongly correlated ...
for open access 12 days Time to first decision 97 days Review time 181 days Submission to acceptance Editor-in-Chief View full editorial board Mohammed Atiquzzaman, PhD The University of Oklahoma School of Computer Science, 110 W. Boyd St., Norman, 73019, Oklahoma, United States ...
Network Operations with NetQ NVIDIA NetQ™is a highly scalable, modern network operations toolset that provides visibility, troubleshooting, and validation of your Cumulus and SONiC fabrics in real time. NetQ utilizes telemetry and delivers actionable insights about the health of your data center ne...
One thousand noisy training data sets were generated, using the arterial plasma TAC, for each subject (computer time:≈ 1 min). The network was trained with the backpropagation algorithm using the 1000 data sets (time:≈ 15 min). Images were generated using the weights determined by training...
Production-ready network automation by NVIDIA As organizations try to keep up with the pace of exponential growth of network traffic, network engineers are faced with the challenge of building fully-automated networks at rapid pace and without error. This can often look like a tedious process of ...