The almost 5-minute performance by Chinese Robots was just so well coordinated, well organized, well choreographed, well worked out. Here, it is on YouTube, https://www.youtube.com/watch?v=R40IDdAkRZM Hangzhou Yushu Technology Co., Ltd., doing business as Unitree Robotics, is a Chinese robotics company based in Hangzhou, China. The dance by robots showcases many hidden assets of these trained robots.Continue reading “Unitree Robotics, A performance you cant forget”
Tag Archives: Deep Learning
University Answerbook Assessments with AI
Assessing answer sheets in a college or university examination consumes faculty members’ time. The time and energy required to assess and grade a college or university student can be redirected to research and other faculty work. This saves faculty time for other important tasks rather than the mundane checking of answer sheets. The faculty canContinue reading “University Answerbook Assessments with AI”
We don’t want a world filled with Robots, but those who exist must be identified as Robots Evolve with Experiences.
We don’t want a world filled with so many robots, especially humanoid robots that look like humans, that it is difficult to identify who is a robot and who is human. So, then why all these guidelines on robots and in robotics? Well, if they exist, they must be registered with regulations! And if theyContinue reading “We don’t want a world filled with Robots, but those who exist must be identified as Robots Evolve with Experiences.”
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”
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”
Nested Learning- Part I-Associated Memory and Momentum
Here we discuss one of the latest paper in 2025 in AI from Google Research given in [1] reference. The paper is titled, “Nested learning: The illusion of deep learning architectures” and is published in “Neural Information Processing Systems” . The contributors are: Behrouz, A., Razaviyayn, M., Zhong, P., & Mirrokni, V. The Authors suggest thatContinue reading “Nested Learning- Part I-Associated Memory and Momentum”
Can Animals learn from AI? Do we need AI to do it for our pets?
Imagine your pets at home when you are outside in the office? What if you can see them? There are three kinds of learning: supervised, unsupervised, and semi-supervised. AI can teach in any of these modes, if pets are receptive to it. What if an Intelligent Pet AI App on your TV can guide yourContinue reading “Can Animals learn from AI? Do we need AI to do it for our pets?”
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!”
Artificial Intelligence, Computer Science & Mathematics 