Machine Learning meets Embedded Systems — We are currently living in a world surrounded by Machine Learning models. Over the course of your day, you are utilising these models more than you realize. Day to day tasks like scrolling through social media, taking a picture, checking the weather, all depend on machine learning models. You might…

Finance on Blockchain — The finance industry has grown exponentially over the years with the growth of technology. Decentralized Finance(DeFi) is a new financial system that aims to be trust-free, open to everyone, permissionless and doesn’t require middlemen like banks. To achieve this, DeFi uses Blockchain technology and smart contracts. …

TensorDash — An app to remotely monitor your Machine Learning models — Let's face it; training a machine learning model is time-consuming. Even with the advancement in computing prowess over the past few years, training machine learning models takes a lot of time. Even the most trivial models have more than a million parameters. On a bigger scale, these models have over…

Fairness in AI and AI bias — Artificial Intelligence has become an integral part of everyone’s lives. Starting from simple tasks like YouTube recommendations to complex life-saving tasks like generating drugs to cure illness, it has become omnipresent. It is influencing our lives in more ways than we realize. But, is AI fair? No, it definitely isn’t. …

Graph Neural Networks and their applications — Over the past three years, Graph Neural Networks(GNN) has grown exponentially in popularity. This is due to their ability to learn from graph data efficiently. There is an intricate and cohesive network connection behind most systems that defines the interaction between the network components. This interaction can be represented as…

A focus on privacy in Machine Learning — With an increasing focus on privacy, Federated Learning has become one of the essential concepts in modern machine learning. Federated learning is geared towards training a model without uploading personal information or identifiable data to a cloud server. As you might already know, a machine learning model needs a lot…

An easy and efficient way to deploy your deep learning model to production — TensorFlow Serving is a part of TensorFlow Extended(TFX) that makes deploying your machine learning model to a server more comfortable than ever. Before Google released TensorFlow Serving, your model has to be deployed into production using Docker. Using Docker to deploy your model is tedious, time-consuming, and prone to many…

Quantum computing can be hard and intimidating in the beginning. But it will get easier with practice. With this article, I’m hoping to get you started with quantum computing with ease. First, you have to understand qubits. Classical bit vs Qubit In classical computers, the bit values can either be…