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Palo Alto Networks and IBM Are Automating 5G Security for Business Growth - Palo Alto Networks Blog

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It's a fair description: 5G is transforming the business technology landscape and creating opportunities far beyond anything we've seen with previous mobile network upgrades. Working in this increasingly hyper-connected world, however, also means dealing with new security vulnerabilities and threat vectors -- especially those targeting data and applications running at the edge and leveraging cloud-native infrastructure. Palo Alto Networks and IBM are working together to deliver joint 5G-native security solutions and services designed to protect these networks and ecosystems. In the process, we're executing a vision for 5G security solutions that also enables better customer experiences, drives revenue growth, and supports innovation for network operators and their enterprise customers. Today's 5G networks are especially valuable in three areas that have a huge impact on how businesses build, manage, scale, and get value from mobile networks: Raising the bar on performance and capacity opens the door to some important changes in how enterprises are using 5G networks. We've seen an explosion in the variety and volume of networked devices, for example, as low-cost, low-powered IoT sensors and other hardware begins to multiply.


The Expressive Power of Neural Networks: A View from the Width

Neural Information Processing Systems

The expressive power of neural networks is important for understanding deep learning. Most existing works consider this problem from the view of the depth of a network. In this paper, we study how width affects the expressiveness of neural networks. Classical results state that depth-bounded (e.g. We show a universal approximation theorem for width-bounded ReLU networks: width-(n 4) ReLU networks, where n is the input dimension, are universal approximators.


Paraphrasing Complex Network: Network Compression via Factor Transfer

Neural Information Processing Systems

Many researchers have sought ways of model compression to reduce the size of a deep neural network (DNN) with minimal performance degradation in order to use DNNs in embedded systems. Among the model compression methods, a method called knowledge transfer is to train a student network with a stronger teacher network. In this paper, we propose a novel knowledge transfer method which uses convolutional operations to paraphrase teacher's knowledge and to translate it for the student. This is done by two convolutional modules, which are called a paraphraser and a translator. The paraphraser is trained in an unsupervised manner to extract the teacher factors which are defined as paraphrased information of the teacher network.


Heres's Why Network Discovery Tools Are So Important In 2019

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It has been 12 years since Princeton researchers Mark Newman and Albert-László Barabási wrote about the changes of modern computing networks. Their book "The Structure and Dynamics of Networks" focused on the significant changes that corporate intranets faced. Things have changed even more in recent years, as modern networks have become much more dynamic. The sudden emergence of dynamic networks has been a game changer for most of the corporate world. It makes their systems more responsive, but it also creates more competition.


Computer Network And It's Fundamentals From A To Z

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The course objectives include learning about Computer Network Organization, implementation, basics, networking and their fundamentals, obtaining a theoretical understanding of data communication and computer networks, and gaining practical experience in monitoring, and troubleshooting of current LAN systems and much more. Students are introduced to computer communication network design, functions and its operations, and discuss the following topics: Open Systems Interconnection (OSI) communication model; error detection and recovery; local area networks; wide area network, etc.; bridges, routers and gateways; network naming and addressing; and local and remote procedures. On completion of the course, students should be able, in part to design, implement and maintain a typical computer network. Data communications, network architectures, communication protocols, data link control, medium access control; introduction to local area networks metropolitan area networks and wide area networks; introduction to Internet and TCP/IP and so many topics we will cover in this course. And the best part of this course is that you will get Quizzes (section wise) related to each topic which help you to understand the topic so clearly so watch this course up to the end to get more and more knowledge.