Robotics – Artificial Intelligence, Computer Science & Mathematics

The Good AI and the Bad AI — Part I

Here is a description of what constitutes a Good AI and what forms part of the Bad AI. There has been tremendous progress in AI, irrespective of the fact that it is a good AI or it is a potentially harmful AI. Let us discuss what is in good AI and what is in badContinue reading “The Good AI and the Bad AI — Part I”

Are the AI leaders pessimist or optimists about AI Future

#AI Note: The article in original is on authors website nidhikayadav.com The current AI leaders of top companies running AI seem to be pessimistic about AI development. AI is like a baby in youth now, it would do mistakes, for sure, the concern is the tolerance and the mother-like warmth it needs to grow intoContinue reading “Are the AI leaders pessimist or optimists about AI Future”

80000 tested GPT but where are the test cases? Testing not enough, use test cases to train new GPT and automate testing

In an article it was relieved that 80000 Google Employees tested its GPT, which still makes errors in outputs. Now there are some key points. These points can be used on any GPT testing, not necessarily of capacity of 80000. When someone makes testing which is so huge, 80000 is a huge number, then oneContinue reading “80000 tested GPT but where are the test cases? Testing not enough, use test cases to train new GPT and automate testing”

Would Elon Musk call back its AI powered cars too?

They say AI is going at a high rate, stop it for 6 months. Yes, speed is an issue, but it can be for good. Why don’t release products after testing, why stopping it for 6 months? Elon Musk among experts urging a halt to AI training — BBC News. Elon Musk is among thoseContinue reading “Would Elon Musk call back its AI powered cars too?”

BLOOM: Language Model — Research Paper Review

Key Important Points are given here of the biggest open-source Language Model till now- BLOOM 1) A 176B-Parameter Open-Access Multilingual Language Model. 2) Aim is public release of Large Language Model 3) Pretrained models are popular since they provide better results from small labelled data. 4) No prior LLM was publicly released making BLOOM theContinue reading “BLOOM: Language Model — Research Paper Review”

Sentiment-Oriented Retrieval on Climate Textual Data

#AI, #ArtificialIntelligence #NLP Sentiment oriented Retrieval/ Opinionated Retrievals In this article we apply the skills of sentiment analysis on the climate corpus we collected sometime back. Question: Why do we need to do this? Answer: Once we get documents and text fragments with high positive sentiment and high negative sentiment scores, we get a kindContinue reading “Sentiment-Oriented Retrieval on Climate Textual Data”

AI based Scrum Master

Its been a while AI made news in paintings, arts, text generation. Its time AI makes news in product management. Yes AI based product management, these wont be just limited to software based product management, but we can start it from scrum master. Here, AI shall work with scrum master, and learn how the scrumContinue reading “AI based Scrum Master”

Professional and Personal Robotic Twin

Note: The original article is present on authors research profile here, “ https://www.researchgate.net/publication/368337127_Professional_and_Personal_Robotic_Twin “ In the era when AI techniques are evolving and changing very fast, here in this paper is proposed a professional robotic twin. Every person can have one or more robotic twins as per his needs. The one at the office canContinue reading “Professional and Personal Robotic Twin”

Doctor with a Robot by his side! The Future.

Note: At present the software and algorithms cannot help doctors much unless confirmed by doctors themself, such as in some surgeries where doctors nod that they can help. Otherwise will just confuse the doctors and patients. This is a future mission and the way mankind should work on. Please do not rely on AI asContinue reading “Doctor with a Robot by his side! The Future.”

Predicting Preferred Working Hours with RNN GRU

In this article, we propose to predict the preferred working hours by individuals based on the present inputs provided. Why this is required? As the work is preset and work goals are made based on resource predictions. Employees are resources of an organization and if we accumulate current phenomena with time we can predict wellContinue reading “Predicting Preferred Working Hours with RNN GRU”