One of the most compelling InfoQ features are our topic graphs, which synthesizes our understanding of how different topics stack up in the technology adoption curve. They are immensely useful as a guide to prioritize different and competing interests when it's time to decide what we want to cover from an editorial perspective, but we also believe that sharing them can help our readers to better understand the current and future tech landscape and help inform their decision process. Topic graphs build upon the well-known framework Geoffrey Moore developed in his book "Crossing the Chasm." Moore's framework describes five stages that describe how technology adoption evolves in time, through the "innovators", "early adopters", "early majority", "late majority", and "laggard" stages. InfoQ has a leaning towards identifying those ideas and technologies that belong to the innovators, early adopters, and early majority stages. We also strive to acknowledge topics that we consider as having already crossed into late majority. You will generally find plenty of content on InfoQ about the late majority and laggards phases, as artifacts of our previous coverage.

Covering all the fundamental concepts of using ML models inside React Native applications, this is the most comprehensive React Native ML course available online. The important thing is you don't need to know background working knowledge of Machine learning and computer vision to use ML models inside React Native and train them. Starting from a very simple example course will teach you to use advanced ML models in your React Native ( Android & IOS) Applications. So after completing this course you will be able to use both simple and advanced Tensorflow lite models in your React Native( Android & IOS) applications. We will use React Native CLI but course will also guide you if you just have the expo knowledge.

It is the second most popular framework for cross-mobile application development after Flutter. Apps built with React Native are efficient, native-looking, and interactive on both iOS and Android -- all thanks to its code reusability. It is widely popular for building MVPs for one-screen mobile applications. Today, more and more companies are switching to React Native. Since its release in 2015, React Native technology has become one of the first frameworks that companies consider for mobile app development.

A chatbot is a piece of software that helps in conducting a conversation through voice based or textual methods. Chatbots offer companies new opportunities to improve the customer engagement process and operational efficiency by reducing the typical cost of customer service. Dialogflow (previously known as API.AI) is a Natural Language Processing (NLP) platform which can be greatly helpful to build conversational applications for a company's customers in various languages and also across multiple platforms. Dialogflow enables developers to create text-based and voice conversation interfaces for responding to customer queries in different languages. Navigate to console in the official website.

Chatbots are a powerful way to provide conversational experiences for any software product. Each conversational experience depends on the implementation of the chatbot to either be a good or poor experience for the end user. The modern day world is living in the technology wave of Artificial Intelligence and bots are a huge part of it. In this tutorial, we are going to build a chatbot application from scratch using Dialogflow and React Native. The main reason to use Google's Dialogflow for this tutorial is that you do not have to go through a hefty signup process by providing your card details, unlike other bot frameworks or similar service providers.

Article originally published on dev.to In this tutorial, I will cover all the steps on how to build a mobile application and train a deep learning model so that you can predict a handwritten digit between 0 and 9 by using your mobile's camera. But before we start building the mobile app, we need to come up with a high-level strategy. Let's go through the thought process: Note: This tutorial needs some prerequisites and a good understanding of RN and Javascript in general. If you are an absolute beginner, I would suggest following a good course on Youtube, Udemy or Egghead before continuing with this tutorial.

Frameworks and libraries can be said as the fundamental building blocks when developers build software or applications. These tools help in opting out the repetitive tasks as well as reduce the amount of code that the developers need to write for a particular software. Recently, the Stack Overflow Developer Survey 2020 surveyed nearly 65,000 developers, where they voted their go-to tools and libraries. Here, we list down the top 12 frameworks and libraries from the survey that are most used by developers around the globe in 2020. About: Originally developed by researchers of Google Brain team, TensorFlow is an end-to-end open-source platform for machine learning.

Posted by Yannick Assogba, Software Engineer, Google Research, Brain team We are pleased to announce that TensorFlow.js for React Native is now available for general use. We would like to thank everyone who gave us feedback, bug reports, and contributions during the alpha release and invite the broader community of React Native developers to try it out! What is React Native?JavaScript runs on a wi…