A robot’s identity card can display its name. This can be used to register the robots as authentic. If a robot from one country is imported into another, it should comply with the new country’s rules and regulations. We must have universal identification for robots in a country. Why do we need identity cards forContinue reading “Passport and ID Card of Named Robots- The full name and the Surname of Robots and AI models #future #futurist #ai”
Tag Archives: future
Certifications for robots or models! Artificial Specialized Intelligence! Why one model fits all?
We live in an era where robotics is taking over many jobs, or, more simply, robotics automation is advancing rapidly. The rate is faster than any construction company could even imagine. What are we constructing? Manufacturing? Or producing? Robots? If so, what are the features of the robots? What kind of features would you wantContinue reading “Certifications for robots or models! Artificial Specialized Intelligence! Why one model fits all?”
We need constraints in Generative AI Models Now
Enough of unconstrained generative AI outputs. It often leads to wrong or harmful outputs. How to make LLM safe? Time for constraints in models. How can constraints help? — — No unintended outputs — — By controlling models, we control the right outputs — — The regularization of gen AI can be done by governmentsContinue reading “We need constraints in Generative AI Models Now”
Unconstrained LLMs, How Long? Safe, secure, and trusted constraint-based LLMs
Note: This is a duplicate copy of original fine with DOI:10.13140/RG.2.2.15511.02722. The pdf can be accessed at, (PDF) Unconstrained LLMs, How Long? Safe, secure, and trusted constraint-based LLMs Abstract: Most LLMs are unconstrained optimization problems (UMP). The problems of hallucinations and dangerous images and texts produced by LLMs persist. How can this problem be solved? WhyContinue reading “Unconstrained LLMs, How Long? Safe, secure, and trusted constraint-based LLMs”
Is Scientific Research with AI Possible? Correct? Is it Valuable? Your inputs and AI Intrigue: Case study: Model for Fuzzy Rough Set-based TW — SVM
Greetings, New year time, let’s see where AI has reached. AI claims a lot, but now, let’s see if AI can generate a research model in tandem with a human intrigue researcher? Let’s see if scientists need to use AI research tools? Would using AI tools by scientists would be for betterment of research? WouldContinue reading “Is Scientific Research with AI Possible? Correct? Is it Valuable? Your inputs and AI Intrigue: Case study: Model for Fuzzy Rough Set-based TW — SVM”
Robots and Life in the coming times. Robots dancing to numbers in China…Why should we be behind?
Chinese robots have nothing more to do, so they are dancing on dance floors? Or do they have a special dance with the singers they are dancing with? Or do they want to show their coordination and skills? Or it’s just a surprise in monotonous jobs done for years! Yes, Chinese Singers, surprise caught theContinue reading “Robots and Life in the coming times. Robots dancing to numbers in China…Why should we be behind?”
Memory Learning, Model Titans (Behrouz et al, 2024)
“Titans: Learning to memorize at test time. arXiv preprint arXiv:2501.00663” This paper (Behrouz et al, 2024) [1] aims to build a memory learning model that is efficient, uses less memory, and learns and predicts more. Neural learning is the basis of memory-based learning. Forgetting is important too, and too much forgetting can lose essential data about the input.Continue reading “Memory Learning, Model Titans (Behrouz et al, 2024)”
Nested Learning: Part II
#ai #llm #deeplearning #ml Here is the video lecture, subscribe for updates, https://www.youtube.com/watch?v=qDwAm1f0JBY Some concerns, it catches the forgetting behavior of LLMs, the context once gone can be looked into nested memories and hence can be revised if nested parameters and memories are referenced. The pre training can’t be edited but the computation of temporaryContinue reading “Nested Learning: Part II”
Predicting the Insulin dose Intelligently for perusal by humans- Missing Part-Upload Meal Image for Calories!
#ai #health Note: This method may have some fuzziness assigned to it, but it’s still not foolproof and needs to be validated. Therefore, it’s not fully reliable. Always seek an opinion on your insulin dose before taking it, or stay within a safe dosage range. Some of the past works in this area use: ThereContinue reading “Predicting the Insulin dose Intelligently for perusal by humans- Missing Part-Upload Meal Image for Calories!”
OpenAI to acquire model training firm Neptune
It also acquired Statsig, Software Applications Incorporated, and Jony Ive’s AI devices startup in the past months. What Neptune does! What is special about Neptune? OpenAI uses Neptune already. With a record of 30,000 projects tracked, Neptune is trusted by 60,000 researchers and 1500 commercial teams. It started in 2017 with Deepsense.ai, and came outContinue reading “OpenAI to acquire model training firm Neptune”
Artificial Intelligence, Computer Science & Mathematics 