R&D

Extracting Desired Information from Unstructured Text Using Deep Learning Architectures

Named-entity recognition is a sub-branch of Information retrieval systems which automatically extracts names of people, locations, organisations etc. from the unstructured data. With the text data

RobAIoT: Overview, Roadmap and Challenges of Robotics Integration with AI & IoT

Future belongs to connecting, collecting and computing data. IoT connects and collects while AI does intelligent computation on the data. Robotics stands as a platform for

Music Style Transfer using Deep Learning (Part 3)

Style transfer was a very novel idea and it was seamlessly applied on images. Given an input image and a style image, we can compute an

Music Style Transfer using Deep Learning (Part 2)

What could be a better way to begin your day than listening to your favorite song or composition and get rejuvenated for a fresh start! Wouldn’t

Music Style Transfer using Deep Learning (Part 1)

Everyone enjoys good music, be it a song that excites you to join the dance floor or a song that takes you through the memory lane.

BehaWear: A wearable for detecting and classifying automobile driver behaviour

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AI Approach for Logo Detection and Matching

A logo is an important part of a company’s brand, and it makes a significant impact on a company’s public perception & reputation. People generally tend

Deploying Machine Learning Models

Machine Learning landscape Machine Learning started as a bunch of standalone algorithms learning patterns from data and solving problems like regression (predicting a continuous value) and

Sahadev – Conversation Assistant

In this age of automation, personal assistants are ubiquitous for various tasks, right from getting weather details, making calls, setting reminders, managing calendars to making appointments.

Only sparsity based loss function for learning representations

Sparse codes are an effective representation of data that facilitates high representational capacity without compromising on fault tolerance and generalization. The advantages of sparse codes over