Artificial Intelligence is one of the most innovative technologies in recent times and is taking mobile technology to the next level. AI technology enhances user experience with various features like face recognition, voice commands, image labeling. Alan Turing, an American Computer Scientist has sowed the seeds of the concept of artificial intelligence in 1956. He also developed a'Turing test' to determine whether a computer (machine) can intelligently think like a human. Today, every industry has realized the fact that AI is the next big technology that will transform human machine interactions. AI automates specific tasks and helps in problem solving.

Make your Android Applications smart, use trained model or train your own models explore the power of AI and Machine Learning. This course was recorded using Android Studio 3.6.1 (which is a great introduction to the development environment!) For a smooth experience I'd recommend you use the same, but students can still use the latest Android Studio version available if they prefer! But until I work out how to build a time machine. I have a course named "Machine Learning for Android Developer using Tensorflow lite" on udemy.

This course is designed for Android developers who want to learn Machine Learning and deploy machine learning models in their android apps using TensorFlow Lite. This course will get you started in building your FIRST deep learning model and android application using deep learning. We will learn about machine learning and deep learning and then train your first model and deploy it in android application using tenserflow lite . All the materials for this course are FREE. We will start by learning about basics of Python programming language.

Basics of Machine Learning and its types Deep Learning and Neural Networks Learn about Tensorflow Lite Generate Tensorflow lite model from Keras model Generate Tensorflow lite model using saved model Generate Tensorflow lite model using concrete function Train and deploy classification and regression models Use datasets available in different formats for model training Learn Python Programming language Learn popular Machine Learning libraries like Numpy,Pandas and Matplotlib Learn Tensorflow 2.0 This course is designed for Android developers who want to learn Machine Learning and deploy machine learning models in their android apps using TensorFlow Lite. This course will get you started in building your FIRST deep learning model and android application using deep learning. We will learn about machine learning and deep learning and then train our first model and deploy it in android application using tenserflow lite . All the materials for this course are FREE. We will start by learning about basics of Python programming language.

"Artificial Intelligence is about replacing human decision making with more sophisticated technologies" -- said by Falguni Desai Have you observed that majority of Android mobile applications you use today are engrossed with Artificial Intelligence enabled features -- either partially or fully? Well, these apps are not only Android-friendly apps but are AI enabled apps too. AI(artificial intelligence) enabled features have made these apps so smart that they are actually able to behave on behalf of human now. Many big brands are busy establishing their android application with such demanding features by ingraining the help of Android app development company. From Amazon to popular media platform like Facebook, they all are using AI enabled features in their application to cater user's or say would-be customers with more fastidious approaches.

Recently Artificial Intelligence(AI) and Machine Learning(ML) has created a huge impact on human interaction with machines and devices. Whether it is any type of industry ranging from travel, utility, machinery, telecom, or advertisement industry, AI and ML have enhanced the smartphone experience in a huge way. Both Android and iOS mobile platforms are integrating AI and ML in various apps. Moreover, with AI and ML decision making has become a lot quicker and precise by accumulating a huge volume of information. Artificial intelligence and machine learning are much more than a smart technology, as it brings all the emerging technologies especially in technology, telecom, and media industry.

Incase you missed it, here are the prequels to this article about the Mobile Vision API. The first post was on the Face Detection API while the second was on the Barcode Detection API. According to the overview, the Text Detection API allows for detecting text in images and videos and it breaks down those texts into blocks (paragraphs/columns), lines (sets of words on the same vertical axis) and words (set of alphanumeric characters on the same vertical axis). The API recognizes text in various Latin based languages. I'll write about what's possible with this API before I go ahead to explain how to use it .

Machine learning is a very interesting field in Computer Science that has ranked really high on my to-learn list for a long while now. With so many updates from RxJava, Testing, Android N, Android Studio and other Android goodies, I haven't been able to dedicate time to learn it. I was very excited to discover that Machine Learning can now implemented by anyone in their Android Apps based on the Mobile Vision APIs from Google without needing to have prior knowledge in the field. All you need is to know is how to use APIs. There are a lot of APIs for Machine Learning on the cloud and mobile, but in this series I'm going to focus only on the Mobile Vision APIs since those are created specifically for Android developers.

Denis Poroy/Getty Images London entrepreneurs have a constructive debate over the relative methods of taking venture capital versus bootstrapping your business. The city's tech scene is at a pivotal moment, continuing to boom even as the country debate's its future in the European Union, a decision which will have huge implications for the future health of the industry. Meanwhile, radical new formats and mediums are starting to be explored in earnest, from artificial intelligence to virtual reality. At Google's annual I/O Extended event in London, Business Insider sat down with a handful of exciting London Android developers and CEOs, from luxury smartphone business Vertu to fast-growing language learning app startup Memrise. We wanted to hear what they're excited -- and worried -- about over the year ahead.