Fermat's last theorem, about to be conquered by AI? And the most meaningful part of the whole thing is that Fermat’s Last Theorem, which AI is about to solve, is precisely to prove that AI is useless. Once upon a time, mathematics belonged to the realm of pure human intelligence; now, this territory is being deciphered and trampled by advanced algorithms. Image Fermat's Last Theorem is a "notorious" puzzle that has puzzled mathematicians for centuries. It was proven in 1993, and now mathematicians have a big plan: to recreate the proof using computers. They hope that any logical errors in this version of the proof can be checked by a computer. Project address: https://github.com/riccardobrasca/flt

1. Introduction Over the past few years, YOLOs have become the dominant paradigm in the field of real-time object detection due to its effective balance between computational cost and detection performance. Researchers have explored YOLO's architectural design, optimization goals, data expansion strategies, etc., and have made significant progress. At the same time, relying on non-maximum suppression (NMS) for post-processing hinders end-to-end deployment of YOLO and adversely affects inference latency. In YOLOs, the design of various components lacks comprehensive and thorough inspection, resulting in significant computational redundancy and limiting the capabilities of the model. It offers suboptimal efficiency, and relatively large potential for performance improvement. In this work, the goal is to further improve the performance efficiency boundary of YOLO from both post-processing and model architecture. to this end

To successfully deploy and maintain a PHP website, you need to perform the following steps: Select a web server (such as Apache or Nginx) Install PHP Create a database and connect PHP Upload code to the server Set up domain name and DNS Monitoring website maintenance steps include updating PHP and web servers, and backing up the website , monitor error logs and update content.

Introduction Continuous integration (CI) and continuous deployment (CD) are key practices in modern software development that help teams deliver high-quality software faster and more reliably. Jenkins is a popular open source CI/CD tool that automates the build, test and deployment process. This article explains how to set up a CI/CD pipeline with Jenkins using PHP. Set up Jenkins Install Jenkins: Download and install Jenkins from the official Jenkins website. Create project: Create a new project from the Jenkins dashboard and name it to match your php project. Configure source control: Configure your PHP project's git repository as Jenkin

Both Laravel and CodeIgniter support cloud platform deployment. Laravel provides native support out of the box, simplifying the deployment process. CodeIgniter requires additional configuration and modifications to run in a cloud environment.

The main differences between Laravel and Yii are design concepts, functional characteristics and usage scenarios. 1.Laravel focuses on the simplicity and pleasure of development, and provides rich functions such as EloquentORM and Artisan tools, suitable for rapid development and beginners. 2.Yii emphasizes performance and efficiency, is suitable for high-load applications, and provides efficient ActiveRecord and cache systems, but has a steep learning curve.

The steps to containerize and deploy Yii applications using Docker include: 1. Create a Dockerfile and define the image building process; 2. Use DockerCompose to launch Yii applications and MySQL database; 3. Optimize image size and performance. This involves not only specific technical operations, but also understanding the working principles and best practices of Dockerfile to ensure efficient and reliable deployment.

Title: How does the Pagoda panel deploy Go language projects? In today's Internet era, Go language is favored by more and more developers as an efficient, concise and powerful programming language with strong concurrency performance. As a powerful server management tool, Pagoda Panel provides convenient interface operations and various automated deployment functions. So, can the Pagoda panel deploy Go language projects? The answer is yes. Next, we will explain in detail how to deploy Go language projects on the Pagoda panel and provide specific code examples. At first, we