Pattern Recognition using Strings

Unsupervised machine learning is the machine learning task of inferring a function to describe a hidden structure from unlabeled data. We could state that unsupervised learning is a feature of natural neural networks that is required to be replicated in a machine toward the achievement of autonomous unsupervised learning. In order to achieve the outputs of unsupervised... Continue Reading →

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Data Modeling for Artificial Intelligence

To create a model for Artificial intelligence, it is important that we first understand natural intelligence, because our task is to simply mimic and exhibit intelligence using digital data. So we put forth a possible data structure employed by the brain to process information, in line with the Adaptive Resonance Theory (ART) developed by Stephen Grossberg... Continue Reading →

Framework for Absolute Knowledge (Singularity)

We are rapidly advancing toward a world of perfect knowledge. With countless sensors gathering data increasingly ubiquitously (e.g., autonomous cars, satellite systems, drones, wearable devices, cameras), we will be able to know practically anything we wish, anytime and anywhere, as well as have the capacity to query vast data repositories for insights and answers. The... Continue Reading →

Making Robots Think

As per Industrial Robot statistics, there are already 1.3 million industrial robots and another report estimates domestic household robots will rise to 31 million between 2016 and 2019. Another report predicts a boom in service robots in 2019. Most of these robots are built to carry out a specific task which can either be hardwired... Continue Reading →

Natural Language Conversation with a machine

Wondered how Ava in ExMachina was able to communicate so fluently with Caleb? The article attempts to decode this contextual feature of Ava which requires cognitive computing in real-time. For a machine to understand what the humans are saying and to respond back pertinently, it should be a learning machine that decodes language and can assemble... Continue Reading →

Structure your data eco system

As long as we  do not understand the  problems created by   implementing  and sustaining silo driven solutions, we are going to face a lot of data redundancy, data inaccuracy and  erroneous  decision making systems.  It is obvious that  data needs to be holistic in its relationship, in order to achieve accuracy in  everything around data,... Continue Reading →

Architecting for Automation

The focus of AI within business scenarios would be to enable process automation to bring in speed and efficiency through machine learning and real-time decision making.  Implementing AI in the business environment can  give companies the platform to drive quick, measurable actions with anticipated growth and save a lot of time and resources,  bringing about... Continue Reading →

Creating a base architecture for sensor data

We're heading towards a world of perfect knowledge. With so many   sensors gathering data everywhere (autonomous cars, satellite systems, drones, wearables, cameras), you'll be able to know anything you want, anytime, anywhere, and query that data for answers and insights. The Internet of Everything describes the networked connections between devices, people, processes and data. By... Continue Reading →

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