QuAIT

Classification of animals using CNN Model In this model, we try to predict whether the animal is a dog or a cat. #We will use the Keras library to create our model. Keras: is an open - source library that provides a python interface for artificial neural networks. from keras.models import Sequential from keras.layers import Conv2D,Activation,MaxPooling2D,Dense,Flatten,Dropout import numpy as np #Let’s initialize a convolutional neural network using the sequential model of Keras. classifier = Sequential() # Adding Convolution Layer classifier.add(Conv2D(32,(3,3),input_shape=(64,64,3))) #Conv2D stands for a 2-dimensional convolutional layer. Here, 32 is the number of filters needed. A filter is an array of numeric values. (3,3) is the size of the filter, which means 3 rows and 3 columns. The input image is 64 64 3 in dimensions, that is, 64 height, 64 widths, and 3 refer to RGB values. Each of the numbers in this array (64,64,3) is given values from 0 to 255, which describes the pixel in...

 Is the Neural Network an algorithm? No. Neural Network is a mathematical model that works similar to human's intelligence. Artificial intelligence and machine learning haven’t just grabbed headlines and made for blockbuster movies; they’re poised to make a real difference in our everyday lives, such as with self-driving cars and life-saving medical devices. In fact, according to the Global Big Data Conference, AI is “completely reshaping life sciences, medicine, and healthcare” and is also transforming voice-activated assistants, image recognition, and many other popular technologies. Artificial Intelligence is a term used for machines that can interpret the data, learn from it, and use it to do such tasks that would otherwise be performed by humans. Machine Learning is a branch of Artificial Intelligence that focuses more on training the machines to learn on their own without much supervision. What is a neural network? If you are not familiar with these terms, then this neural ne...

Quantum Machine Learning Quantum computing is a vicinity of reckoning, focused on developing computer technology based on the principles of quantum physics.  Quantum physics is one among the foremost winning series of contemporary science describing the way our world works at the foremost elementary level.Quantum computing has become one of the most leading applications of quantum physics. It can solve some of the world’s impenetrable problems that are beyond the reach of even today’s most efficient supercomputers. We can assume that quantum computers are not going to replace classical computers but they are radically a different approach for operations that enables them to perform calculations that classical computers cannot. Let’s see how they differ: Classical computers encode the information in bits and each bit can represent 0 or 1 that ultimately translate into computer functions to perform simple calculations. Unlike classical computers, quantum computers encode information ...

Deep Learning may be a subfield of machine learning concerned with algorithms inspired by the structure and performance of the brain called artificial neural networks. If you are just starting a call at the sector of deep learning, otherwise you had some experience with neural networks a while ago, you'll be confused. Many across the globe learned and used neural networks within the 1990s and early 2000s. The leaders and experts within the field have ideas of what deep learning is and these specific and nuanced perspectives shed tons of sunshine on what deep learning is all about. Let’s dive in. Deep Learning is Large Neural Networks Andrew Ng from Coursera and Chief Scientist at Baidu Research formally founded Google Brain that eventually resulted in the productization of deep learning technologies across an outsized number of Google services. He has spoken and written tons about what deep learning may be and is a good place to start. In early talks on deep learning, Andrew descri...

Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data, and Machine Learning to fight and look ahead against the new diseases. Methods of AI The rapid review of the literature is done on the database of Pubmed, Scopus, and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. The latest information regarding AI for COVID-19 is collected, then analyzed to identify its possible applications for this disease. Results There are seven identified significant applications of AI for the COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in the future by collecting and analyzing all previous data. Conclusions Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread.  AI works...

Hello and we welcome you back with an exciting topic! Read more to know what's it about! Are you one of those who's diving deep into quantum research? or the one who's trying to catch up with the new technology? or the one who doesn't know the Q of "Quantum Computing"! Let's learn it together!                                So, for those of you who don't know .. Quantum Computing is a computational technique that uses physics principles (especially quantum mechanics) to accelerate the process. It mainly uses superposition and entanglement.                                                Well, superposition is a combination of two or more states, particularly quantum states of qubits in quantum computing. Then what about entanglement? It is basically a connection with which the state of ...

Hello there folks..! Are you one of those developers working on Machine Learning, trying to catch up with the world? Are you looking for tips in Machine Learning? Here's how you can do Speech Recognition in less than half an hour!  Ready to get started? Scroll down to speed up the process! Before moving forward, let me tell you the environment we're working in.. We're going to use python, so if you don't have python, make sure you install it from-  https://www.python.org/downloads/ So we are going to use Spyder(Anaconda) for the whole process.  To install Anaconda, visit -  https://www.anaconda.com/products/individual Now without any further due let's get started. STEP 1: INSTALL THE NECESSARY PACKAGES There are a few inbuilt packages in Anaconda that make the process easy, which means 30% of the code you need is already there for you! Here are the commands you need to use to install it in the spyder, use any of the following commands: conda install -c conda-forge ...