Tag Archives: artificial intelligence

Ethics of Artificial Intelligence and Robotics: Key Issues and Modern Ways to Solve Them

Here are glimpses of my new journal research publication: Ethics of Artificial Intelligence and Robotics: Key Issues and Modern Ways to Solve Them | Yadav | Journal of Digital Technologies and Law (lawjournal.digital) DOI: https://doi.org/10.21202/jdtl.2023.41 Key Points of this research paper are as follows: [Note: This content is taken from my own paper on the aboveContinue reading “Ethics of Artificial Intelligence and Robotics: Key Issues and Modern Ways to Solve Them”

Move the steering of AI in the direction needed! In the Year 2024!

Yes, this is another new year. I am sorry for the late New Year wishes, but here they are Have a Wonderful and Prosperous New Year, 2024. To all the ai/tech-inclined people out here. Summary: So decide, plan, and then implement the directions where you want to run the ship of AI applications and Energies in AIContinue reading “Move the steering of AI in the direction needed! In the Year 2024!”

Generalized Traveling Salesman Problem Using Genetic Algorithms

Here in this article, we will see how to use Genetic Algorithms (GA) to solve the Generalized Traveling Salesman Problem, or G-TSP for short. Question. So what is the Generalized Traveling Salesman Problem? The aim here is to choose a path from a cluster of cities that covers all clusters and has the minimum cost.Continue reading “Generalized Traveling Salesman Problem Using Genetic Algorithms”

Google Gemini versus chatGPT

Finally, I got to use Google Gemini. Here are some of the prompts that I tested on Google Gemini and chatGPT along with results screenshots. So, who is better Google Gemini or chatGPT ? See yourself! It refuses to answer! ———————————— II. Prompt: Ok, tell me about a crocodile who can jump on trees likeContinue reading “Google Gemini versus chatGPT”

Google Gemini or Bard versus chatGPT

#artificialintelligence #deeplearning #nlp #techenthusiast #ai The new AI model by Google, as per its marketing team, it seem to be a serious enhancement in all AI models till date. The point is how real are these and what were the prompts given before the outputs were recorded. Given in a message on the internet, GoogleContinue reading “Google Gemini or Bard versus chatGPT”

Data and Information as Input to ML/DL/LLM Models

Note: The article is present on author’s other social media accounts as well. Abstract Here is a summary of the some ways which may effect the results in ML/DL/LLM to the betterment. We always want the results to improve, in this quest comes the use of information. Yes, one way is to find new networkContinue reading “Data and Information as Input to ML/DL/LLM Models”

Deep Network-based Automated Theorem Prover

This is a review of the paper — “Deep network guided proof search”. arXiv preprint arXiv:1701.06972, as given in reference [1]. — Automated first-order theorem provers (ATP) can be used to prove mathematical theorems and these can also be used in applications such as program analysis, theory exploration, and reasoning. — Higher-order logic, Naive Bayes,Continue reading “Deep Network-based Automated Theorem Prover”

Is LLM over or there is more to go? Yes, More to Go!

Note: This article is also present on authors’ other social media accounts. A recent article by a lead data scientist on LinkedIn (in reference [1] below) states the convergence of results to the same outputs irrespective of the size of data presented to LLM. Well if these are the experimental results of experiments conducted oneContinue reading “Is LLM over or there is more to go? Yes, More to Go!”

Are Machines Ready to be CEO?

Or Assistant to Top Jobs! Note: The article is also on authors other social media accounts as well. #ai #management #robotics #artificialintelligence  My answer is No, as of now, partially yes to be an assistant! Here is why! Integrating all kinds of AI algorithms in one robot shall still take some time, months if notContinue reading “Are Machines Ready to be CEO?”

Theorem Prover for Natural Language

Note: The article is also on author’s other accounts as well. Hi, Hope you are doing well. Here are brief points in summary of the paper “LANGPRO: Natural Language Theorem Prover”, 2017 [1]. This Theorem Prover called LangPro, takes a series of premises that prove the validity of the hypothesis and also presents various relationsContinue reading “Theorem Prover for Natural Language”