Learning Natural Selection in the Human Genome with Machine Learning

Machine learning today is being used in the medical field quite regularly. Having an exact pinpoint of how our genome as a whole is...

How Machine Learning is Transforming Health Policy

Machine learning is considered to be one of the forefront applications in future AI technology. It can deliver a series of solutions that can...

New AI Toilets can Scan Poop to Detect Health Issues

Artificial Intelligence is making its way into a wide range of settings including everything from AI that is capable of learning new...

6 Surefire Ways to Land Rewarding Freelance Job in AI

Everyone seems to talk about how Artificial Intelligence (AI) is coming for their jobs, and that freelancers will probably be worst hit,...

Building a Feedforward Neural Network using Pytorch NN Module

Feedforward neural networks are also known as Multi-layered Network of Neurons (MLN). These network of models are called feedforward because the information only...

Now Artificial Intelligence can determine which Stories from Airlines will go Viral

Can you imagine a world where artificial intelligence begins to determine the top stories? Currently, we are living in...

List of Deep Learning Books to Read

Here is the list of some of the recommended deep learning books for reading: 1. Deep Learning by Goodfellow, Bengio, and Courville The text offers mathematical...

Create a Neural Network With PyTorch

PyTorch is an Artificial Intelligence library that has been created by Facebook's artificial intelligence research group . The source code is accessible...

GE Healthcare wins first FDA clearance for A.I. powered X-ray system

The FDA gives green signal to GE Healthcare's new AI based X-ray device (Critical Care Suite) to prioritize critical cases for pneumothorax,...

Artificial Intelligence – A Bitter-Sweet Symphony in Modelling

We have seen tremendous progress by artificial intelligence (AI) over the past decades. This progress, however, was not achieved steadily. There were...