Enterprises achieve 50% faster testing cycles with AI-driven autonomous quality assurance

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.
eWeek

5 AI Tools That Transform AI Overwork Into Automation Power

Discover 5 AI tools that turn AI overload into autonomous workflows, with built-in automation and quality control for real-world teams.
InfoQ

GitHub Copilot SDK Lets Developers Integrate Copilot CLI's Engine into Apps

Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub ...

How to Automate AWS Incident Investigation with Tines and AI

Cloud incidents drag on when analysts have to leave cases to hunt through AWS consoles and CLIs. Tines shows how automated ...
IEEE

Automated Face Recognition System Using Convolutional Neural Network

Abstract: The research is devoted to the development of an automated face recognition system based on a convolutional neural network (CNN). The proposed system uses modern methods of image ...
GitHub

Python library for interacting with the Solvecaptcha API (captcha-solving service)

A simple and efficient method to integrate the Solvecaptcha captcha-solving service into your code, enabling the automation of solving various types of captchas. Examples of API requests for different ...
IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...