According to the tag Deep learning, the following results have been found:
Hello, tekkix! The team of the regional scientific and educational center "Artificial Intelligence and Big Data Analysis" at NSTU named after R. E. Alekseev is here.
Greetings to all readers!
YOLO stands for You Only Look Once. It is a widely known computer vision architecture, famous for its numerous versions: the first one was released in 2016 and only solved the task of object detection in images, while the latest one – the eleventh – appeared in September this year and is already a fundamental model that can be used for classification, object tracking in videos, pose estimation tasks, etc. All of this is in real-time.
The rapid development of artificial intelligence has led to a surge in job openings in this field, and today many people are building exciting careers in it. For many years, American scientist Andrew Ng has observed how this happens with thousands of students, as well as engineers in large and small companies. Now he offers a practical scheme by which you can pave your own career track.
Hello everyone! If you are interested in 3D technologies or just want to learn more about modern methods of creating three-dimensional models, you should definitely read this article. We will dive into the Atlas method - a unique way of 3D scene reconstruction based on only 2D images. You will learn how linear regression and truncated signed distance function can significantly simplify the modeling process, providing more accurate results without the need for depth maps.
Hello! My name is Alexander Telepov, I am a researcher at the AIRI Institute. Our team is engaged in the application of deep learning in life sciences. Our interests include tasks such as material design, solubility analysis, or the search for new drugs. I would like to talk more about the latter.