The public’s understanding of artificial intelligence (AI) is largely shaped by pop culture — by blockbuster movies like “The Terminator” and their doomsday scenarios of machines going rogue and destroying humanity. This kind of AI narrative is also what grabs the attention of news outlets: a Google engineer claiming that…

Artificial intelligence (AI) has certainly augmented the diagnostic process through advanced and automated testing and medical imaging methods. Implementing AI in medical diagnosis has made the whole diagnosis process more efficient and effective, though human-enabled diagnostics are still found to be more reliable. …

How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science? This article was published as a part of the Data Science Blogathon Are you an aspiring data scientist who is fascinated by how things workaround in the world of data science and machine learning? Well, congrats on choosing the right career path that is best suited for you at this…

With the advent of internet-based e-commerce stores, online shopping has become a significant part of everyday life. Pick the pack of preferred products, add them to the cart, pay online, and get them all delivered to the doorstep — buying things online is just a matter of clicks. Though online…

What determines whether a patient is suffering from an illness, and when? When you hear the term AI medical diagnosis, your first impression may be that it’s some synthetic human intelligence. In other words, this is a universal Human Intelligence Project run by artificial machines that can detect disease and…

Computer vision is a branch of AI that deals with processing and comprehending digital pictures. Image segmentation deep learning is crucial in computer vision, with applications as diverse as self-driving automobiles and medical image analysis. Image segmentation is known as the technique of segmenting a digital image into many pieces. …

Bounding box predictors, also known as region proposal networks (RPNs), are a class of deep neural network layers used in computer vision tasks to generate proposals that can create masks around objects in an image. The bounding box is the smallest rectangular region within which an object may be found…

With the advent of internet-based e-commerce stores, online shopping has become a significant part of everyday life. Pick the pack of preferred products, add them to the cart, pay online, and get them all delivered to the doorstep — buying things online is just a matter of clicks. Though online…

Data annotation in machine learning is a term used to describe the process of labeling data in a way that machines can understand, either through computer vision or natural language processing (NLP). Another way, data labeling enables the machine learning model to perceive its surroundings, make judgments, and take action. …