AI in Action: How Semantic Search Can Help Fight COVID-19

By Malai Sankarasubbu, VP of AI Research In response to the COVID-19 pandemic, the White House, the Allen Institute for AI (AI2), and leading research…

Blockchain in Drug Discovery and Development

The uses and application of blockchain technology are vast and far-reaching. In this article, Tushar Sinkar explores some blockchain uses that can be applied for…

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…

Analytics Trends 2018: Blockchain and AI to Accelerate Clinical Trials Transformation

All clinical trial processes are witnessing rapid transformation due to the demand for faster and completion of trials at lower costs. Insights gleaned from Real…

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…

Deep Learning Diaries: Building Custom Layers in Keras

There are many deep learning libraries available, some are more popular than the others, and some get used for very specific tasks.  Abhai Kollara discusses…