Category Archives: artificial intelligence

Some future work on decision-making with Rough Sets

-Doctor Nidhika Yadav #decision-making Firstly, in my Ph.D. work, I incepted the concept of novel Rough Set based uncertainty measure, ‘span’, and the definition of special Rough subsets of the Universe, ‘spanning sets’. I elaborated on how ‘span’ measures the salience of any subset of the Universe, with the ‘spanning set’ being the subset thatContinue reading “Some future work on decision-making with Rough Sets”

GPT-5 and its PhD level Intelligence Explained and Questioned

Greetings of the day everyone. How are you doing? Let’s discuss this news which is a hot topic of discussion around the internet. The following image is taken from LinkedIn to understand the impact GPT-5 can have, if this is really true! Some point here: —Yes right, but I think what is this GPT-5 claimContinue reading “GPT-5 and its PhD level Intelligence Explained and Questioned”

Biomimicry and Intelligence- A Vision into the Future

Here is pre-print of my article. Abstract: This article presents Biomimicry algorithms, their applications, and possible future perspectives with reasonings. It also discusses combining one or more Biomimicry processes to solve varied, complex problems, which can be mimicked using hybrid process mechanisms derived from several Biomimicry process frameworks. Do we still have unsolved problems? WhyContinue reading “Biomimicry and Intelligence- A Vision into the Future”

Human-Friendly AI in Robotics

Abstract– The article focuses on AI having a component of being human. Ethical and Bias Questions in Facial Recognition Tasks are an example that seeks answers for exceeding human expectations. This shall make AI the masters of humans. This defeats the very purpose of AI, which was made to assist humans, not to rule humans.Continue reading “Human-Friendly AI in Robotics”

Fuzzy Rough Set Techniques for Extractive Text Summarization

Hi All, Hope you are doing well! I am on a journey to Australia so it takes me time to post technical articles these days. Today in this article I describe one of my own research paper in layman language with the title “Fuzzy Rough Set Techniques for Extractive Text Summarization”. This was published inContinue reading “Fuzzy Rough Set Techniques for Extractive Text Summarization”

Ethical and Responsible AI and Robotics for Children

Hi All, Hope you are doing well. Sharing with you pre-print of my paper submitted to a journal. The broad area of the paper is on AI Ethics. ABSTRACT Objective: AI ethics matter more for lesser bias, lesser wrong and fake information, and more fairness. But when it comes to children, the definition of AIContinue reading “Ethical and Responsible AI and Robotics for Children”

Chatbot Response Categorization-Multi Category Tags

#ai #artificialintelligence Note: This is authors own article which in the original is present on DOI:10.13140/RG.2.2.13103.14247. It is presented here to grow the audience. Abstract-Chatbots or any other kind of bots produce outputs that at times are not what is required out of the bot. In such situations, bot output categorization is required. The botContinue reading “Chatbot Response Categorization-Multi Category Tags”

Re-ranking of documents in the Information Retrieval Task with Unsupervised Query Expansion

Note: The article in the duplicate is present on the author’s other social media accounts as well. In this article, we shall cover the steps to perform un-supervised query expansion and how to use it to re-rank documents in the task of Information Retrieval. Most of the points are taken from the research paper byContinue reading “Re-ranking of documents in the Information Retrieval Task with Unsupervised Query Expansion”

Client-Side Language Model Interacting with Server-Side LLM

Note: This article is present in on authors DOI:10.13140/RG.2.2.32564.05768 Generative Pre-trained Transformers (GPT) are neural networks with specific transformer architecture to perform various kinds of applications here we are concerned with language modeling. We all are familiar with Large Language Models based on GPT architecture. This is based on the Encoder Decoder principle, several outputsContinue reading “Client-Side Language Model Interacting with Server-Side LLM”

User-side Query Expansion for Efficient Chatbots with or without Feedback

Note: This article in copy is also present on authors other social media accounts as well. When a query is put on a chatbot be it be chatGPT, copilot, or any other chatbot, the response is based on what query is being asked. Now chatGPT has proposed to use clever AI (see reference [1] below)Continue reading “User-side Query Expansion for Efficient Chatbots with or without Feedback”