Implementing Chargrid: Network Architecture

In the last article, I have explained the chargrid approach for understanding 2d-structured documents. For better understanding go through my last article which is chargrid — OCR(Part-1).

In this part, I’m going to explain the network architecture implemented in the chargrid paper. You can check out githup repo and the research paper.

See this for model description.

Let’s start —

Network architecture for document understanding, the chargrid-net:

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Model Architecture — The chargrid-net.

This model architecture has one encoder and two decoders. Encoder encodes the image of the chargrid using convolution layers and decoders are used for semantic segmentation of the image and predicting bounding boxes .

#chargrid #artificial-intelligence

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Implementing Chargrid: Network Architecture
Marlon  Boyle

Marlon Boyle

1594312560

Autonomous Driving Network (ADN) On Its Way

Talking about inspiration in the networking industry, nothing more than Autonomous Driving Network (ADN). You may hear about this and wondering what this is about, and does it have anything to do with autonomous driving vehicles? Your guess is right; the ADN concept is derived from or inspired by the rapid development of the autonomous driving car in recent years.

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Driverless Car of the Future, the advertisement for “America’s Electric Light and Power Companies,” Saturday Evening Post, the 1950s.

The vision of autonomous driving has been around for more than 70 years. But engineers continuously make attempts to achieve the idea without too much success. The concept stayed as a fiction for a long time. In 2004, the US Defense Advanced Research Projects Administration (DARPA) organized the Grand Challenge for autonomous vehicles for teams to compete for the grand prize of $1 million. I remembered watching TV and saw those competing vehicles, behaved like driven by drunk man, had a really tough time to drive by itself. I thought that autonomous driving vision would still have a long way to go. To my surprise, the next year, 2005, Stanford University’s vehicles autonomously drove 131 miles in California’s Mojave desert without a scratch and took the $1 million Grand Challenge prize. How was that possible? Later I learned that the secret ingredient to make this possible was using the latest ML (Machine Learning) enabled AI (Artificial Intelligent ) technology.

Since then, AI technologies advanced rapidly and been implemented in all verticals. Around the 2016 time frame, the concept of Autonomous Driving Network started to emerge by combining AI and network to achieve network operational autonomy. The automation concept is nothing new in the networking industry; network operations are continually being automated here and there. But this time, ADN is beyond automating mundane tasks; it reaches a whole new level. With the help of AI technologies and other critical ingredients advancement like SDN (Software Defined Network), autonomous networking has a great chance from a vision to future reality.

In this article, we will examine some critical components of the ADN, current landscape, and factors that are important for ADN to be a success.

The Vision

At the current stage, there are different terminologies to describe ADN vision by various organizations.
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Even though slightly different terminologies, the industry is moving towards some common terms and consensus called autonomous networks, e.g. TMF, ETSI, ITU-T, GSMA. The core vision includes business and network aspects. The autonomous network delivers the “hyper-loop” from business requirements all the way to network and device layers.

On the network layer, it contains the below critical aspects:

  • Intent-Driven: Understand the operator’s business intent and automatically translate it into necessary network operations. The operation can be a one-time operation like disconnect a connection service or continuous operations like maintaining a specified SLA (Service Level Agreement) at the all-time.
  • **Self-Discover: **Automatically discover hardware/software changes in the network and populate the changes to the necessary subsystems to maintain always-sync state.
  • **Self-Config/Self-Organize: **Whenever network changes happen, automatically configure corresponding hardware/software parameters such that the network is at the pre-defined target states.
  • **Self-Monitor: **Constantly monitor networks/services operation states and health conditions automatically.
  • Auto-Detect: Detect network faults, abnormalities, and intrusions automatically.
  • **Self-Diagnose: **Automatically conduct an inference process to figure out the root causes of issues.
  • **Self-Healing: **Automatically take necessary actions to address issues and bring the networks/services back to the desired state.
  • **Self-Report: **Automatically communicate with its environment and exchange necessary information.
  • Automated common operational scenarios: Automatically perform operations like network planning, customer and service onboarding, network change management.

On top of those, these capabilities need to be across multiple services, multiple domains, and the entire lifecycle(TMF, 2019).

No doubt, this is the most ambitious goal that the networking industry has ever aimed at. It has been described as the “end-state” and“ultimate goal” of networking evolution. This is not just a vision on PPT, the networking industry already on the move toward the goal.

David Wang, Huawei’s Executive Director of the Board and President of Products & Solutions, said in his 2018 Ultra-Broadband Forum(UBBF) keynote speech. (David W. 2018):

“In a fully connected and intelligent era, autonomous driving is becoming a reality. Industries like automotive, aerospace, and manufacturing are modernizing and renewing themselves by introducing autonomous technologies. However, the telecom sector is facing a major structural problem: Networks are growing year by year, but OPEX is growing faster than revenue. What’s more, it takes 100 times more effort for telecom operators to maintain their networks than OTT players. Therefore, it’s imperative that telecom operators build autonomous driving networks.”

Juniper CEO Rami Rahim said in his keynote at the company’s virtual AI event: (CRN, 2020)

“The goal now is a self-driving network. The call to action is to embrace the change. We can all benefit from putting more time into higher-layer activities, like keeping distributors out of the business. The future, I truly believe, is about getting the network out of the way. It is time for the infrastructure to take a back seat to the self-driving network.”

Is This Vision Achievable?

If you asked me this question 15 years ago, my answer would be “no chance” as I could not imagine an autonomous driving vehicle was possible then. But now, the vision is not far-fetch anymore not only because of ML/AI technology rapid advancement but other key building blocks are made significant progress, just name a few key building blocks:

  • software-defined networking (SDN) control
  • industry-standard models and open APIs
  • Real-time analytics/telemetry
  • big data processing
  • cross-domain orchestration
  • programmable infrastructure
  • cloud-native virtualized network functions (VNF)
  • DevOps agile development process
  • everything-as-service design paradigm
  • intelligent process automation
  • edge computing
  • cloud infrastructure
  • programing paradigm suitable for building an autonomous system . i.e., teleo-reactive programs, which is a set of reactive rules that continuously sense the environment and trigger actions whose continuous execution eventually leads the system to satisfy a goal. (Nils Nilsson, 1996)
  • open-source solutions

#network-automation #autonomous-network #ai-in-network #self-driving-network #neural-networks

Games DApp

Games DApp

1606981211

Matic Network in Blockchain Gaming

Matic Network is getting lots of attraction amidst the blockchain game developers. This is because, their competition has stepped away from the gaming scene. Matic - as a general purpose platform, capable of creating all types of DApps, and have already build 60+ DApps on Matic Network.

As a result Matic Network is busy gaining a lots of new gaming partners. They have already been integrated into many gaming DApps.

Key reasons why DApps chooses Matic Network

  • Near-instant blockchain transactions
  • Low Transaction fees >> less than 1/1000th of the fees on the Ethereum mainchain
  • Seamless migration for existing Ethereum DApps
  • Access to, and assistance with, a wide range of developer tooling.
  • Unparalleled technical support for developers.

If you have an idea to build your own Gaming DApp - you could benefit from matic network’s high-speed, low-fee infrastructure and our assistance to transform your DApp from a great idea into a successful DApp business.

Being a Predominant DApp Game Development Company, GamesDApp helps you to Build DApp Game on matic network and also expertize in developing various popular games on the blockchain network using smart contract.

Hire Blockchain Game Developers >> https://www.gamesd.app/#contactus

#matic network #build dapp game on matic network #dapp game on matic network #matic network in blockchain gaming #matic network for game development

Serverless Vs Microservices Architecture - A Deep Dive

Companies need to be thinking long-term before even starting a software development project. These needs are solved at the level of architecture: business owners want to assure agility, scalability, and performance.

The top contenders for scalable solutions are serverless and microservices. Both architectures prioritize security but approach it in their own ways. Let’s take a look at how businesses can benefit from the adoption of serverless architecture vs microservices, examine their differences, advantages, and use cases.

#serverless #microservices #architecture #software-architecture #serverless-architecture #microservice-architecture #serverless-vs-microservices #hackernoon-top-story

antonio marsh

antonio marsh

1606393360

Avail our world-class XOXO Network Smart Contract and earn huge profits

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jaz nive

1604314029

Avail our world-class XOXO Network Smart Contract and earn huge profits

Interested in launching a crypto trading platform on your own? Now, you can create your customized crypto platform like XOXO Network MLM Clone under the assistance of leading professional experts in the industry. In this article, let us discuss the key factors about the XOXO network clone script and its earning opportunities.

What is XOXO Smart Contract Clone Script?

XOXO smart contract clone script is one of the decentralized P2P smart contract-based clone scripts which is built on the Ethereum blockchain in order to offer an advanced trading experience to the users.

How does the registration process work in XOXO Network Clone Script?

The main objective of XOXO Network Clone Script is to make the registration process more simple and quick. In order to join the network, the user has to pay the entry fee 0.1ETH and then download either the Trust Wallet or the Meta Mask. After downloading the safe wallet, the user has to integrate it by adding the amount in ETH. Then he/she can follow the referral link which is sent by the existing user. After completing the registration process, the user can start referring others to the network. The user will receive rewards in the form of a commission instantly whenever anyone joins in the network with their referral link.

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The following are some of the features which made the XOXO Network MLM Clone Script a favourite one among the users globally.

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