Entries by Mallesh Murugesan

Knowledge Integration in AI

So let’s think about how humans learn, we humans are very good at continuously enriching and refining our knowledge and skills by seamlessly combining existing knowledge with new experiences. We exhibit a wide spectrum of learning abilities in various fields. We can be lawyers during the day and go play tennis or go for a […]

What is NLS?

NLS: Natural Language Search is a search using everyday spoken language, such as English. Using this type of search, you can ask a database a question or type in a descriptive sentence that describes your question. Though asking questions in a more natural way (ex: What is the population of England as of 2018? Or […]

Intelligent Automation Primer

Abeyon contributed to the ACT-IAC white paper on Intelligent Automation Primer. The goal of this primer is to help readers understand how they can adopt various automation technologies to make their businesses more effective. The term Intelligent automation marries artificial intelligence—including natural language processing, machine learning, and machine vision—with automation to replicate and/or imitate human […]

Deploy AI Models as Microservice

Microservice is a software development technique for developing an application as a suite of small, independently deployable services built around specific business capabilities. Microservices is the idea of breaking down big, monolithic application into a collection of smaller, independent applications. Why should machine learning models be deployed as microservices? This is an empirical era for […]

Google’s BERT takes NLP to much higher accuracy

As a follow up to my earlier LinkedIn Post of Google’s BERT model on NLP, I am writing this to explain further about BERT and the results of our experiment. In a recent blog post, Google announced they have open-sourced BERT, their state-of-the-art training technique for natural language processing (NLP) applications. The paper released (https://arxiv.org/abs/1810.04805) along […]

What is Deep Learning?

Deep Learning is a subset of machine learning that allows machines to do tasks that typically require human like intelligence. The inspiration for deep learning comes from neuroscience, if you look at the architecture of Deep Learning Neural Networks, they are connected in a fundamental way that mirrors the brain. Deep-learning networks are distinguished from […]

How do Machines Learn?

A good definition by TechEmergence states that “machine learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions.” From the definition it is fairly apparent that all forms […]