Software Engineering Insights

It was 31st December when WHO’s Country Office in the People’s Republic of China got the news from a media statement by Wuhan Municipal Health Commission, of a case of “viral pneumonia” in Wuhan, capital of Central China’s Hubei province. What seemed to be a “viral pneumonia”, after detailed studies were coined as a novel coronavirus, thus marking the inception of the COVID-19 pandemic.  

Converting prospects into customers­ – the ultimate goal of closing more sales – depends on how you prospect your customers.

Are you doing it any differently? By differently we mean using automation to nudge your prospect to take the next step in the journey. If yes, it’s great if not then read on.

Humans have exceptional power for image recognition. High-level image understanding, contextual knowledge, and the ability for parallel processing are some of the factors that contribute to precise recognition of objects, places, people, writing, and actions. However, humans develop these abilities over time and have a limitation as well. When it comes to recognizing images from a large set of data, human processing power might fail.

Machine Learning is one of the proficient technologies that we have for pattern recognition, data mining, statistical analysis on large volumes of data. It’s enabling machines to recognize intricate patterns and make intelligent decisions, without human intervention. In order to achieve this, the ML technology is accompanied by neural networks.

The human brain has got tremendous potential. On an everyday basis, it performs hundreds and thousands of tasks- such as recognizing faces, learning from experiences, memorizing facts, identifying objects, understanding words & languages, recognize intent & sentiments, and more. There are billions of neurons in the brain that network together to accomplish these tasks.

The COVID-19 pandemic has affected over 9 million lives worldwide. The virus infection is disseminating like wildfire, putting pressure on the global economy and marking a downfall of various businesses. 

For humans, classifying objects in an image is straightforward, as compared to machines. This process of classifying objects in an image, known as Image Classification involves labeling of images into predefined classes. Since there can be  n number of classes into which an image can be classified, manual classification (when there are thousands of images) is difficult for humans too. That is why automating the process of object identification and classification with machines is gaining ground.

An average adult human brain has a storage capacity of around 2.5 petabytes in their memory. With such tremendous capacity, ‘forgetting things’ can be an awful experience for us humans. For example, not being able to recall the password that was updated a day before or unable to remember where the keys were kept the last time.

Learning is an extensive process, involving several aspects to it. Development of cognitive skills, acquisition of new declarative knowledge, discovering new facts & theories from experimentation are some of the common and significant aspects of learning.

Python is the most versatile programming language amongst developers today. Since Python is reliable and easy to maintain, it becomes the go-to language for software engineers, data scientists, automation engineers, game developers, etc.