Deep-Learning

Prompt: A detailed blue ballpoint pen sketch of knolling for my 2026 vision board featuring the following items on lined notebook paper: 1. Kubernets serve AI agents 2. NASA Fprime project development 3. Reading the Gravitation physical theory book 4. Use bmppc pocket cinema camera to get more cinematic footage. 5. Improve My 3D CAD design tech 6. Learning Robotics theory and practices in the real world The drawing uses cross-hatching for shading and has a realistic but hand-drawn doodle aesthetic. There is a bright yellow highlighter outline glowing around the subject. Surrounding the subject are playful handwritten text annotations with arrows pointing to specific details of the subject. The background is white paper with horizontal blue lines and a vertical red margin line, visible paper texture.

The enigma of consciousness has long been a subject of fascination, yet its fundamental nature remains a mystery. Recent research suggests that quantum mechanics may hold the key to understanding the origins of consciousness. In this blog post, we’ll explore the intriguing proposal that quantum processes create conscious experience, and delve into the latest ideas on this topic. The Problem of Consciousness: Consciousness is more than just a product of intelligence; it’s a subjective experience that cannot be reduced to mere computations. The disconnect between intelligence and consciousness is a long-standing puzzle, as anyone who has experienced pain can attest – it absorbs all our conscious awareness, yet nothing particularly intelligent is going on. The hard sciences have been skeptical about this topic due to the lack of a protocol to measure conscious experiences independently. ...

ReadMore - Introduction Transformer Model from Math Perspective BY CHENFENG ([email protected])

MPICH Raspberry Pi Cluster The earliest project to run MPICH on a Raspberry Pi cluster would be Raspberry Pi at Southampton, in which professor Simon Cox and his son together to build an MPI cluster consisting of 64 Raspberry Constructs and Legos. This project is already 10 years old, and at that time the raspberry pi 1 B+ was used, and due to the limitations of the performance of the 1st generation, the whole cluster could only be used for MPI learning, which is still under-utilized in high-performance computing. However, now raspberry pi 4 is still very weak compared to Intel servers, but it still has great potential to run MPICH related computing projects compared to the 1st generation. First of all, power consumption, 64 raspberry pi 4 CPUs running at full load consume about 400 watts, and secondly, the ARM ecosystem is now very well developed compared to a decade ago, and a lot of programs have been ported to the ARM64 platform, with a variety of tools at your fingertips. ...

reference wolframalpha-as-the-way-to-bring-computational-knowledge-superpowers-to-chatgpt chatgpt-gets-its-wolfram-superpowers what-is-chatgpt-doing-and-why-does-it-work Next-Generation Human-Robot Interaction with ChatGPT and ROS Dolly v2.0 Principle building The recent hot chatgpt, advancing generative AI to a new level, but currently see most people apply it to chat tools, and even some people use it as Wikipedia, but I think since it is generative, why not use it to do the interaction between human and robot, we use a specific defined natural language to describe the operation we need to let the robot do. chatgpt translates our natural language into a structured language similar to program source code by understanding it, and then inputs it into the robot’s system, and the robot operating system will follow the input structured language to complete the corresponding operation. So I was thinking how to combine RoboMaster EP with LLM language class model to accomplish human-robot interaction. API applications like chatgpt have a disadvantage because their models run in the cloud and are restricted to certain countries and regions, so commercial industrial LLM applications are basically ruled out and I wanted to be able to run the models locally and train and optimize them by myself. At this time Databricks released Dolly v2.0 model, the dataset and the training model are all open source and can be applied to the commercial domain, after reading the related introduction I decided to use dolly v2.0 as my first choice for the local LLM model. ...