Attention Mechanism: Benefits and Applications

Recurrent Neural Networks (RNNs) are powerful neural network architectures used for modeling sequences. LSTM (Long Short Term Memory) based RNNs are surprisingly good at capturing…

Privacy and Machine Learning: Concerns and Possible Solutions

AI and its applications are here to stay, even if they bring with them new challenges, as their advantages seem to outweigh the risks. However,…

Disruptive Innovation of Blockchain and Evolution of Pharmaceutical Ecosystem in Data Integrity and Transparency

An interconnected ecosystem is the need of the hour in the pharmaceutical world, where it is more important than ever to enable sharing of information…

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…

Capsule Networks and the Limitations of CNNs

Convolutional Neural Networks are considered the State-of-the-Art in computer vision related Machine Learning tasks. Soham Chatterjee highlights the limitations of CNNs and discusses alternate models…

Interpretable Models are the Key to Increased Adoptability of Machine Learning

Machine learning has helped drive many technological advancements. There are two models of machine learning, which have their own pros and cons. Malaikannan Sankarasubbu discusses…

How to Turbo-charge your Machine Learning Model

Processing and analysing data calls for great computing power and advanced technology stacks. The evolution we witnessing today has been gradual. In this blog, Narendra…

Smarter Contact Centers with Machine Learning

When it comes to contact center analytics, the most fruitful information lies in knowing what the customer talks about and what caused them to call…