Tag Archives: Machine Learning

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!”

RAG Engineering-based Query Specific Summarization

Here, I present the idea behind Query-Specific Summarization and RAG, and how it can be implemented. Use case. And how to test it. Retrieval Augmented Generation is very well used in organizations with their own data. Many organizations have their own data that they do not want to upload to generic servers where a genericContinue reading “RAG Engineering-based Query Specific Summarization”

Dormant AI Police Robots: Modern AI Policing, Patrolling and Guarding. Pros and Cons.

#future #robotics #sci-fi #science-fiction #futurist #ai Dormant Robot is a robot that is just seeing and hearing and is stagnant, till the AI in the robot reports a threat, when it raises an alarm to the administration. This can have positive effects, as well as negative concerns about it. They can save lives in extremeContinue reading “Dormant AI Police Robots: Modern AI Policing, Patrolling and Guarding. Pros and Cons.”

How can work be optional? Elon Musk?

#future #work #ai #futurist At the US Saudi Investment Forum last week, Elon Musk said work would be optional, such as playing sports or video games. He mentioned work would be optional before as well. But how can all work be optional when Musk wants to make Life multiplanetary? It took civilization thousands of yearsContinue reading “How can work be optional? Elon Musk?”

The magic ball, the external brain, is in the hands of all people of Earth now.

This can’t be reversed. AI. Yes, AI can’t be reversed in many areas. What do we learn from this overwhelming AI hype? We learn that people seek. People seek knowledge. People want to know everything. It’s like carrying a brain in their hands. This brain is an AI that can answer any question they ask,Continue reading “The magic ball, the external brain, is in the hands of all people of Earth now.”

Physical AI (Flying systems, Robotaxis, and Robots) by Chinese EV maker XPENG

What is Physical AI? When the digital and physical worlds unite, that is what Physical AI. Examples are operating systems (large models) and intelligent hardware. They say we are entering Physical AI bubble.   He Xiaopeng, Chairman and CEO of XPENG, says that large models will become the operating system and foundation of all PhysicalContinue reading “Physical AI (Flying systems, Robotaxis, and Robots) by Chinese EV maker XPENG”

Humanoid Robotics’ CEO? Flexible Learning! How can your robot be different from competitor robots?

#ai #future So why not hire a data head, which is a robot? Why can only the CEO and Operational head be robots? Can a robot find its way from fresher to managerial mode? Is robotic CEO Mika favouring robotic hires 😊 Well, it all depends on who made the robot.  Does the robot have bias? Continue reading “Humanoid Robotics’ CEO? Flexible Learning! How can your robot be different from competitor robots?”

What would the world have been like if there had been no AI?

A “what if” alternate. What if there were no AI? What would life have been like? What would professions be like then? What would gadgets be like? What would science be like? What would culture be like? Let’s explore what the world might look like today if there had been no AI — meaning no explosion ofContinue reading “What would the world have been like if there had been no AI?”