An intuition on how Recurrent Neural Networks and LSTM works Let us first try to understand how RNNs work and how they are used to solve sequence modeling tasks that require the model to store the information seen before. Working... Read more about An intuition on how RNN and LSTM works

Elegant Algorithms using Randomization Randomized algorithms are those algorithms that make use of something random (for example a random permutation of an array, a random number generator, etc) to calculate the answer fast with certainty or it gives the approximate... Read more about Elegant Algorithms using Randomization

A lot of research is continuously happening around us. While the word research seems fascinating to most of us, we seldom know how impactful the research is or how the actual impact of any research is measured. While there are... Read more about How are researchers and their research rated?

An Introduction to PyTorch PyTorch was released in early 2017 by Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan and has been making a pretty big impact in the deep learning community. It's is a Python-based scientific computing package targeted... Read more about An Introduction to PyTorch

An Introduction to Minimax Algorithm Ever wondered how a computer is able to play wisely in games like Tic-Tac-Toe, Chess and Go? It all boils down to the ever-evolving Artificial Intelligence (AI). Now, what if I say that building powerful... Read more about An Introduction to Minimax Algorithm

Here’s a closer look at the Ekranoplan Often referred to as the Caspian monster, the ekranoplan is one of the most freakish designs that were actually brought to life in a period where people were peaking at innovation in military... Read more about EKRANOPLAN