Category Archives: AI

Some AI companies go nuclear

Some AI companies go nuclear Some questions whose answer would give you many more hidden questions and their answers~~~ Well for a subject like this, not all may be fully aware, Clean energy, no energy, old energy, other energy, some other new energy? What and which one we would choose? Are we ready for itContinue reading “Some AI companies go nuclear”

Broadcasting message about severity of Earthquake in time, to citizens with AI

A recent earthquake in Turkey in 2023, saw massive devastation leading to minimum 53,500 lives lost, had a magnitude of almost 7.8 on the Richter scale. The impact was massive. If we analyze the recovery is still fully pending in Syria (Syria too was impacted) as well. A timely alert message could had saved soContinue reading “Broadcasting message about severity of Earthquake in time, to citizens with AI”

Advances in AI — TB Mitigation via Deep Learning

This article is based on the 2017 research conducted by Alcantara et al (2017). The research was primarily focused on developing nations, in particular, all the work was based on Peru, a country in South America. Peru is not a rich country, and hence the availability of advanced gadgets for detection, analysis, and diagnosis isContinue reading “Advances in AI — TB Mitigation via Deep Learning”

Uncertainty measures for Decision Making (unsupervised and semisupervised)

I proposed Rough Set based uncertainty measures (span) (Yadav, 2021) for various decision systems in my post-Ph.D. work, which is an impressive contribution to the field. This research work can improve decision-making processes and enhance the reliability of decision systems. The model developed uncertainty measures for unsupervised multi-category decisions for structured and unstructured data. TheContinue reading “Uncertainty measures for Decision Making (unsupervised and semisupervised)”

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”

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”