Category Archives: Uncategorized

Aim of article: Artificial Intelligence based Software to do surveillance or safety, as needed by owners, of store for crime detection. Need, Use and How to do it is discussed here on this page. Available At: (PDF) Proposal: Artificial Intelligence based shopping store safety software (researchgate.net) One needs to see what’s is requirements given constraints. OneContinue reading “Artificial Intelligence based shopping store safety software”

To this question “How and when should Large Language Models be developed and deployed to reap their benefits without their harmful consequences?” Here is the link to the detailed article who’s solutions I am providing in this article:https://www.technologyreview.com/2021/05/20/1025135/ai-large-language-models-bigscience-project/?utm_campaign=site_visitor.unpaid.engagement&utm_medium=tr_social&utm_source=Facebook&fbclid=IwAR0-WA4AKBC0idlZRfM0ncoautcCos6xgjPlKpWAwVeon97F8DFYSdk2e4c Large Language Models (LLMs) takes as input textual data in a Natural Language formats. The Large LanguageContinue reading “How to tackle — AI is Learning Wrong Languages, Wrong Contents and Impacting Children and Adults”

Well, we are living in the times of advanced scientific developments. But have we used the lessons learned good enough? Climate change is here, cyclones, flash flooding, earthquakes, tornadoes, droughts, soil erosions and so on! Yes, man was responsible was a lot of climate change conditions but we have to face it all. Face theContinue reading “Can Artificial Intelligence and Scientific Advancements be used to prevent Natural Calamities #climate_change”

There is lot of news all around us on AI these days. Automated Robots, self-driving cars, game playing using AI, to mention a few. Some would even say— “Data is the new oil and AI the new electricity”.  And some fear about AI taking away jobs. Well myths are there for everything in world andContinue reading “Artificial Intelligence—Myths, Facts! Some Perspectives!”

This is a brief discussion about this “Perspectives on Artificial Intelligence”  the chapter-2 of book by Stahl, B. C. [1] It lays emphasis on the following things from ethical point of view: Characterization of AI as narrow AI, general AI and the mixed systems, which use combinations of things Secondly, each of the three aboveContinue reading “Perspectives on Artificial Intelligence- Book Chapter Review”

In this article I discuss an research paper by (Adrian Sanborn and  Jacek Skryzalin) [1] named “Deep Learning for Semantic Similarity”.    Aim: Given two sentences or small text fragments, are they similar? If so, how much similar or dis-similar? Technique: The authors have proposed use of AI technique of deep learning in particular –Recurrent NeuralContinue reading “AI: Deep Learning for Semantic Similarity”

Aim: In this article I discuss a research paper by  Lin et al (2021) [1] named “How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact”.    This paper presents an in-depth overview of research areas for NLP in 2020,  effect of research in NLP on targets for aContinue reading “NLP for Social Good: Research Paper Review”

In this blog we discuss an research paper by (Araque et al) [1] named ” Enhancing deep learning sentiment analysis with ensemble techniques in social applications”  in which Artificial Intelligence techniques  for sentiment analysis and deep learning is used with advanced classification technique of ensemble based learning.   This article [1] propose, analyze the various waysContinue reading “Artificial Intelligence: Deep Learning Based Sentiment Analysis using Ensembles (Short Review)”

Here, in this article I am proposing a novel technique to summarize text documents. Well I am not writing a research paper for it but giving you basic explanations of key steps involved. It is a novel technique as sentiments have not been used with Fuzzy Inference Engine to the best of my knowledge for Text Summarization.Continue reading “AI: Sentiment Analysis and Fuzzy Sets based Summarization Technique —- Research based Approach (sample explanation with Python)”

In this article we discuss an research paper by (Ghosal et al, 2021) [1] named “CIDER: Commonsense Inference for Dialogue Explanation and Reasoning”.    Aim: The authors have developed a database for conversation-based text understanding for two person conversations and a deep learning-based models have also been evaluated for performance  for NLP tasks including inference,Continue reading “AI: New Dataset, CIDER for Common sense Inferencing in Two Person Conversations Dialogues”