Tag Archives: artificial intelligence

Keyword Selection – Supervised versus Unsupervised – Futuristic view

Keyword selection is about selection of important keywords from a text, a collection of texts or even in books, collection of catalogues. Here I present futuristic view of keyword selection, it applications and proposed uses. Not the past uses we all are familiar with – the future uses of keywords selection. -Actually, keyword extraction reducesContinue reading “Keyword Selection – Supervised versus Unsupervised – Futuristic view”

Artificial Intelligence and Flower Blooming Early – Effect of Ecosystem. Analysis and Solutions!

Spring are associated with warmth and water is required for flowers to bloom. As per Wikipedia (Spring (season) – Wikipedia) spring relates to flowering of many kinds of plants, animal life change, smell of soil that has reached the temperature for flourishing of microflora. Plants flowering a month before, means the heat of Sun orContinue reading “Artificial Intelligence and Flower Blooming Early – Effect of Ecosystem. Analysis and Solutions!”

NLP Overview

Natural Language Processing (NLP) has evolved with the growth of Artificial Intelligence. The famous turning test relies heavily on NLP, since the way an analyst differentiate between a machine and a human is through questions in Natural Language, be it any language, understood by the both.   Back then in the 1950’s information retrieval automation workContinue reading “NLP Overview”

2-class Image Recognition Task using Backpropagation, Regularized Neural Networks, Logistic Regression and Naive Bayes-Code, Results and Analysis for given Implementation

This article is for education and learning purpose. The aim is to understand how to start experimentation in the area of Neural Networks, how to compare results, what all features to consider while doign experiments. It is a handy tool for those doing self learning in the area of Machine Learning. And a good startContinue reading “2-class Image Recognition Task using Backpropagation, Regularized Neural Networks, Logistic Regression and Naive Bayes-Code, Results and Analysis for given Implementation”

AI based sensors for Forest Fires detection and AI based systems for Stopping the Spread

These days people are talking of colonization of Mars and Moon. Wait! Hold On! Earth needs lot of innovations in AI ! Don’t just jump in to make solutions for Mars and Moon where you don’t even know the oxygen needed by human would be available in enough quantities. There is lack of oxygen inContinue reading “AI based sensors for Forest Fires detection and AI based systems for Stopping the Spread”

Are basic Electric Car- NOT Enough or Enough? #Climate change

Let us first understand why is the need of Electric cars? Why we have to get to new kind of fuel in cars ? Well, let me tell you — this is Climate Change Concerns. So, for that we need to reduce the carbon in air, most of it is emitted out of cars that burnContinue reading “Are basic Electric Car- NOT Enough or Enough? #Climate change”

Choosing the Right New Source of Energy with Help of AI and Computer Simulations: Stop and Think Before Implementing

Yes, we are in a race against time to protect the environment.  There is growing imbalance in primarily the following three broad categories: In air On Earth’s surface Below Earth’s Surface So dear stakeholders, its good to find a new source of energy that can replace fossil fuels. It gives the excitement and the requiredContinue reading “Choosing the Right New Source of Energy with Help of AI and Computer Simulations: Stop and Think Before Implementing”

AI Simulation Fields for making AI enabled Self-Driving Cars — Learn with Deep Learning. Vision for Future.

  This article aims to present a design for training AI based self-driving cars. Look this should had been filed as a Design Patent technically, but I don’t have enough funding. So in case you want to enhance it, please do give this article in your reference section. I have explained it all in formContinue reading “AI Simulation Fields for making AI enabled Self-Driving Cars — Learn with Deep Learning. Vision for Future.”