iChess.io Architecture

Hi, my Dear Readers! ;-). Let me start Today’s story with the fact that the iChess.io starts to play Chess and Chess 960 as well ;-). Without that start statement, any design advantages do not make sense. Please remember that any good architectural design is about how things work, not how things are built. I heard that once, and it made an impression on me. It turns out a clear understanding that Continue ReadingiChess.io Architecture

iChess.io v2.27

This is a day, I was looking forward entire year. I remember the moment when we discuss with Professor Jacek Izydorczyk the subject of math oriented AI that can be very enjoyable and valuable, the Game of Kings. But first, we considered to reaserch AI in the medical aspects of usage, the financial, and then I told that the best in class AI is for gaming but the only game I am Continue ReadingiChess.io v2.27

The iChess.io v1.27 is Ready to Play Publicly with Reinforcement Learning ;-)

Hi, it has been some time since the last entry on this blog… ;-). I almost forget how nice it is to write a blog post in the middle of the night with AirPods music :P. Truth be told, I almost dropped this iChess.io project once on the aiChess.io I could not make sufficient working self-learning of the chess. I do not want to use any books on chess, only, like they Continue ReadingThe iChess.io v1.27 is Ready to Play Publicly with Reinforcement Learning 😉

Darknet on OpenCL on FreeBSD 13.1

Hi, recently I helped a bit for a GitHub user rajhlinux. I am not sure if you are familiar with this Operation System. I am only a bit. But the beauty of C and C++ is that it works on different OSes and works fast! Below cute daemon image is from Wikipedia, and you can click on it to learn more. This user, a fan of FreeBSD, was using version 13.1 and Continue ReadingDarknet on OpenCL on FreeBSD 13.1

Darknet on OpenCL on Windows 11 x64

Hi, there are many challenges on Windows 11 x64 with AMD Radeon RX 6900 XT. For the last few months, from time to time, I started to try to build on Windows 10 x64 first and later I updated to Windows 11 x64. There are the following open issues I faced: 1) Time spent on detection is a bit longer than on GNU/Linux or macOS. 2) Detections seem fine when I try Continue ReadingDarknet on OpenCL on Windows 11 x64

The Multi-GPU-SET Idea

Hello, I am a Ph.D. student in Poland at the Silesian University of Technology. And I wanted to start a general discussion on the classifier on the video stream improvement idea. I called it the “Multi-GPU & Multi-SET” or, in short, the “Multi-GPU-SET” idea. People use Multi-GPU and the “Syncing” for Convolutional Neural Networks. But nobody, in my opinion, tried multi-GPU to classify. So what is it about? Well, it is about Continue ReadingThe Multi-GPU-SET Idea

GPU OpenCL Fine-Tuning Problem Solution

Hello, after about half-year, I at last found the solution to the biggest optimization issue I had so far in the Darknet on OpenCL solution. It was tough to solve, and I even wrote at the AMD Community Post. Today very early morning, I posted on that post solution shown below. CPU CODE THAT INVOKES THE GPU CODE AND USES BOTH GLOBAL AND LOCAL THREAD SPACES! GPU CODE THAT IS ACCELERATED WITHOUT Continue ReadingGPU OpenCL Fine-Tuning Problem Solution

PhD Progress from May 27th 2020 Update Keynote

Hi, This video was recorded today and shows my Ph.D. first year of study effects in detail. The first on the planet… Multi-GPU & Multi-SET image classification pattern… so, I wish you a happy watch! Thanks for watching! p ;).

PhD OpenCL Challenges

Hi, I want to show you code samples for OpenCL that may be important when you start with this great graphics card computing (GPU-computing) library. The goal is to make code as good as possible on any platform that supports OpenCL and on GPUs from AMD, Intel, NVidia, and Mali on CPUs from AMD, Intel ARM. All examples are from the Darknet on OpenCL port I did some time ago. The first Continue ReadingPhD OpenCL Challenges

PhD Progress from March 8th 2020 Update Keynote

This is the status update of my private “after work” progress on my Ph.D. studies at the Silesian University in Gliwice, Poland. I think it may interest all AI/ML researchers around the world. I covered in 30 minutes the Conventional Neural Network (CNN) engine used to classify the objects on video frames. I also cover my implementation of the Darknet on OpenCL that you can find at https://github.com/sowson/darknet including the goal, idea, Continue ReadingPhD Progress from March 8th 2020 Update Keynote