Even I get scared seeing a fleet of Robots, but let’s see, how can we make it work for us, maybe in some robots in better form, like a Tin-Man of Wonderful Wizard of OZ then? Imagine them with the characteristics to float on water as if it was a boat — —within right timeContinue reading “Future of robotics for human safety. No it’s not there to take jobs away…”
Category Archives: Deep Learning
AI based Population studies, current decline in population
NOTE: This article is present on — (PDF) Population studies, current decline in population (researchgate.net) and on authors key social media account as well, its DOI: 10.13140/RG.2.2.33983.11684 Analysis here~~~ Many questions arise, in this regards, So is this temporary local minima in population of each region.. What are past local optimas in population studies then Sir How pastContinue reading “AI based Population studies, current decline in population”
AI-based Governance, supervised, semi-supervised to fully supervised- Part I
#ai #governance #artificialintelligence #robotics Which leader to trust, Which part to vote, How to decide the fundings in a better way, How to satisfy all demands of people, How to allocate jobs, How to arrange for food, at subsidized rates, How to manage crowd going against things, French Revolution was just the beginning, Why shouldContinue reading “AI-based Governance, supervised, semi-supervised to fully supervised- Part I”
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)”
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”
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”
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”
Artificial Intelligence, Computer Science & Mathematics 