R&D

Reinforcement Learning: Understand with a Simple Game

Reinforcement learning is an important type of Machine Learning where an agent learns how to behave in an environment by performing actions and seeing the results.

Making machine Understand Natural Language better with BERT

BERT stands for Bidirectional Encoder Representations from Transformer. It is a substantial addition to the league of various approaches dealing with finding a solution to understand

All you need to know about Attention

Attention Mechanism in deep learning has led to major performance improvements both in NLP and computer vision. All sequence models now implement attention resulting in state-of-the-art

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