Poincarè Embeddings for Representing Hierarchical Data

Embeddings are the best way to create efficient representations of words and graphs. In this article, Soham Chatterjee talks about problems in the Euclidean plane…

Quantization and the Need for TPUs

Archana dives into the world of TPUs and discusses quantization, the process that is really responsible for making predictions in a neural network, lending a…

Applications of Signal Processing in Machine Learning

Data is available abundantly in today’s world. However, it is noisy most of the time. In this article, Archana Iyer discusses some filter processing techniques…

Cognitive Systems: Taking Cognizance of Machine Intelligence

It’s been more than 60 years since the term ‘Artificial Intelligence’ or AI was coined. Since then it has provided great fodder to Hollywood movies…

Enterprise Search: Solving Real Problem for Real People

Powerful search engines like ‘Google’ have transformed the way we search information, so much so that just the mention of the phrase ‘enterprise search’ may…