Summary — To understand how PSO-based algorithm can work with Gravitational algorithm to provide better results. In the gravitational search algorithm, there is law of gravity and law of motion, where in the forces are proportional to masses in the objects and inversely proportional to the distance between the particles. The force of attraction of theContinue reading “Gravitation swarm — Particle Swarm Optimizer Hybrid Swarm Search Optimizers”
Category Archives: computer science
Future of robotics for human safety. No it’s not there to take jobs away…
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…”
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”
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”
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”
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”
Artificial Intelligence, Computer Science & Mathematics 