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AntTech
AntTech
May 9, 2023 · Information Security

Ant Group’s Biometric Security Testing Lab: Automated Detection and Evaluation of Fingerprint and Face Recognition Systems

The article details Ant Group’s Ant Security Tianji Lab’s end‑to‑end biometric security testing framework, covering standards, automated 1.0‑2.0‑3.0 detection stages, fingerprint and face‑recognition attack materials, intelligent AI‑driven countermeasures, and a 24/7 robotic testing infrastructure.

AI testingInformation Securitybiometric security
0 likes · 25 min read
Ant Group’s Biometric Security Testing Lab: Automated Detection and Evaluation of Fingerprint and Face Recognition Systems
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Jan 13, 2023 · Artificial Intelligence

How Baidu’s Cloud Simulation Platform Accelerates Autonomous Driving Development

Baidu’s cloud‑based simulation platform now covers the entire autonomous‑driving development cycle, offering integrated testing for perception, decision, planning and control, dramatically reducing iteration time, boosting scenario coverage to 98% and achieving a 99.8% model deployment success rate.

AI testingAutonomous Drivingcloud simulation
0 likes · 16 min read
How Baidu’s Cloud Simulation Platform Accelerates Autonomous Driving Development
FunTester
FunTester
Dec 30, 2022 · Operations

Mastering Cross‑Browser Testing: Strategies, Tools, and Automation Tips

This guide outlines essential cross‑browser testing strategies—including device and browser selection, top UI testing frameworks like Selenium, Appium, and Espresso, automation with parallel execution, cloud‑based labs, AI‑driven tools, and security considerations—to help teams deliver high‑performance web and mobile applications efficiently.

AI testingAppiumSelenium
0 likes · 10 min read
Mastering Cross‑Browser Testing: Strategies, Tools, and Automation Tips
Baidu Geek Talk
Baidu Geek Talk
Nov 7, 2022 · Artificial Intelligence

AI-Driven Risk-Based Testing and Intelligent Delivery System at Baidu

Baidu’s AI‑driven risk‑based testing platform automates task allocation, precisely scopes test coverage, dynamically optimizes execution, and uses real‑time logs to locate defects, enabling a quality‑assessment model that blocked 1,123 unsafe releases, intercepted 318 bugs, saved over 2,000 person‑days, and cut assessment time from 50 to 2 hours, demonstrating that AI‑guided decisions markedly improve testing efficiency and delivery quality.

AI testingcontinuous integrationintelligent decision system
0 likes · 14 min read
AI-Driven Risk-Based Testing and Intelligent Delivery System at Baidu
Baidu Intelligent Testing
Baidu Intelligent Testing
Aug 24, 2022 · Artificial Intelligence

Intelligent Test Analysis Practices: Contract Validation, Memory‑Leak Detection, Performance Diff, Test‑Case Completion, and Visual UI Recall

This article presents a comprehensive overview of intelligent test analysis techniques—including contract‑based validation point generation, time‑sliced C++ memory‑leak detection with DTW and CART, dynamic‑threshold performance diff, transformer‑based test‑case completion, and visual UI recall—demonstrating how data, algorithms, and engineering combine to improve testing accuracy and efficiency.

AI testingcontract testingmemory leak detection
0 likes · 11 min read
Intelligent Test Analysis Practices: Contract Validation, Memory‑Leak Detection, Performance Diff, Test‑Case Completion, and Visual UI Recall
FunTester
FunTester
Aug 24, 2022 · Industry Insights

How AI and Low‑Code Tools Are Solving Modern Web Test Automation Challenges

This article examines the key difficulties of web test automation—such as coverage, dynamic element identification, synchronization, flaky pop‑ups, and reporting—and explains how AI‑driven and low‑code solutions, along with best‑practice techniques, can help teams achieve faster, more stable testing across browsers.

AI testingcross-browser testingdynamic elements
0 likes · 10 min read
How AI and Low‑Code Tools Are Solving Modern Web Test Automation Challenges
FunTester
FunTester
Aug 18, 2022 · Artificial Intelligence

How AI Can Automate UI Testing: Building Image‑Based Anomaly Detection

This article examines the evolution of mobile UI testing toward AI‑driven approaches, outlines the challenges of large‑scale apps, and details a practical workflow for constructing image‑based anomaly datasets, training a ResNet‑18 model, and iterating on detection performance.

AI testingUI automationcomputer vision
0 likes · 13 min read
How AI Can Automate UI Testing: Building Image‑Based Anomaly Detection
JD Retail Technology
JD Retail Technology
Mar 7, 2022 · Artificial Intelligence

AI-Driven UI Testing: Data Collection, Model Development, and Deployment for Mobile App Anomaly Detection

This article presents a comprehensive study on applying AI and deep‑learning techniques to mobile UI testing, covering background challenges, feasibility research, abnormal sample construction, model design, training, evaluation, and future directions for intelligent test automation.

AI testingAnomaly Detectioncomputer vision
0 likes · 13 min read
AI-Driven UI Testing: Data Collection, Model Development, and Deployment for Mobile App Anomaly Detection
Baidu Geek Talk
Baidu Geek Talk
Mar 1, 2022 · Artificial Intelligence

Intelligent Testing: Three Stages of AI‑Driven Software Quality Assurance

Intelligent testing, as defined by Baidu’s MEG Quality Efficiency Platform, evolves through three AI‑driven stages—computational intelligence using data and simple algorithms to aid testing, perceptual intelligence that mimics human risk perception to automate decisions, and emerging cognitive intelligence enabling machines to autonomously react to detected risks.

AI testingSoftware qualitycognitive intelligence
0 likes · 5 min read
Intelligent Testing: Three Stages of AI‑Driven Software Quality Assurance
DevOps
DevOps
Jan 19, 2022 · Fundamentals

Evolution of Software Testing and Continuous Testing Practices in DevOps

This article reviews the historical evolution of software testing, explains the concepts of continuous testing within DevOps, outlines testing lifecycles, tools, and models, and looks ahead to emerging trends such as DevSecOps and AI‑driven autonomous testing.

AI testingDevOpsDevSecOps
0 likes · 14 min read
Evolution of Software Testing and Continuous Testing Practices in DevOps
Beike Product & Technology
Beike Product & Technology
Aug 13, 2021 · Artificial Intelligence

AI-Powered Intelligent Testing Platform for Frontend UI Quality Assurance

The article describes how an AI-driven testing platform combines computer‑vision, OCR, and machine‑learning techniques to automatically detect frontend UI and backend‑related quality issues in mobile apps, outlines its architecture, core capabilities, deployment workflow, and reports successful real‑world deployments and future plans.

AI testingMachine Learningcomputer vision
0 likes · 11 min read
AI-Powered Intelligent Testing Platform for Frontend UI Quality Assurance
FunTester
FunTester
Jul 9, 2021 · Industry Insights

What’s Driving the Next Wave of Mobile App Testing? 4 Key Trends Revealed

A six‑month study of app trends and user surveys uncovers four major mobile testing directions—continuous testing adoption, cloud‑based infrastructure migration, AI‑enhanced testing, and the rise of low‑code platforms—highlighting how they reshape development speed, quality, and remote work capabilities.

AI testingcloud testingcontinuous testing
0 likes · 7 min read
What’s Driving the Next Wave of Mobile App Testing? 4 Key Trends Revealed
DevOps
DevOps
May 27, 2021 · Fundamentals

Insights on Continuous Testing: Test‑First Mindset, Automation, Culture, and AI/ML

In this interview, Alan Page shares expert advice on adopting a test‑first mindset, achieving high test automation, overcoming talent shortages and cultural resistance, and exploring AI/ML opportunities to enhance continuous testing practices within modern software development teams.

AI testingDevOpsSoftware quality
0 likes · 9 min read
Insights on Continuous Testing: Test‑First Mindset, Automation, Culture, and AI/ML
FunTester
FunTester
Mar 15, 2021 · Industry Insights

What Are the Hottest Automation Testing Trends for 2021?

The article examines how software testing has expanded beyond bug detection in 2021, covering left‑shift/right‑shift testing, cloud‑based cross‑browser testing, AI‑driven tools, Selenium’s evolution, IoT performance testing, QAOps, blockchain testing, cloud automation, and the emerging NoOps model.

AI testingIoT testingQAOps
0 likes · 9 min read
What Are the Hottest Automation Testing Trends for 2021?
JD Retail Technology
JD Retail Technology
Sep 28, 2020 · Artificial Intelligence

Why AI Testing Is Still Painful and How to Solve It

The talk explores the current pain points of AI testing, outlines data‑quality analysis methods, highlights critical ETL and model‑testing considerations, and shares practical case studies and platform designs to improve machine‑learning quality assurance.

AI testingETLMachine Learning
0 likes · 5 min read
Why AI Testing Is Still Painful and How to Solve It
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 28, 2020 · Big Data

How Alibaba Tests Big Data AI Applications: Six Challenges and Solutions

This article explains how Alibaba's search, recommendation, and advertising platforms handle the unique quality challenges of big‑data AI applications, detailing six major testing problems and the comprehensive strategies—including functional, real‑time, performance, and stability testing—used to ensure reliable online services.

AI testingBig DataDevOps
0 likes · 27 min read
How Alibaba Tests Big Data AI Applications: Six Challenges and Solutions
vivo Internet Technology
vivo Internet Technology
Jan 15, 2020 · Artificial Intelligence

Automated Testing: From Data-Driven to AI-Powered - A Comprehensive Guide

The guide explains automated testing fundamentals, classifications, and current platform implementations—covering unit, interface, and UI testing on PC, Android, and iOS—while detailing data‑driven and keyword‑driven approaches and forecasting AI‑powered visual and functional testing using deep‑learning frameworks.

AI testingAppiumSelenium
0 likes · 10 min read
Automated Testing: From Data-Driven to AI-Powered - A Comprehensive Guide
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 8, 2019 · Artificial Intelligence

How AI is Transforming Software Testing: From Manual Checks to Fully Automated Intelligence

This article explores the evolution of software testing, the challenges posed by rapid internet-driven development, a six‑level model of AI‑augmented testing, practical application scenarios such as unit, API and UI testing, and a survey of leading AI‑powered testing tools shaping the future of quality assurance.

AI testingMachine Learningquality assurance
0 likes · 15 min read
How AI is Transforming Software Testing: From Manual Checks to Fully Automated Intelligence
HomeTech
HomeTech
Feb 28, 2019 · Artificial Intelligence

How to Systematically Test and Monitor AI Models in Large‑Scale Production

This article presents a comprehensive approach to testing, automating, and monitoring AI prediction models in a high‑traffic environment, covering background, challenges, evaluation metrics, data sampling methods, automated test scripts, and online monitoring to ensure model accuracy, performance, and reliability.

AI testingBig DataMetrics
0 likes · 13 min read
How to Systematically Test and Monitor AI Models in Large‑Scale Production
iQIYI Technical Product Team
iQIYI Technical Product Team
Dec 28, 2018 · Artificial Intelligence

AI‑Driven Visual Automation Testing Frameworks: Challenges, Opportunities, and the Aion Solution

The article examines shortcomings of traditional visual automation frameworks—weak cross‑platform support, ID dependence, and fragile screenshot matching—and shows how Aion’s hybrid approach, merging image‑processing segmentation with deep‑learning classification and OCR, delivers a more stable, cross‑platform, “visible‑to‑obtain” testing solution while acknowledging remaining accuracy challenges.

AI testingOCRUI2Code
0 likes · 11 min read
AI‑Driven Visual Automation Testing Frameworks: Challenges, Opportunities, and the Aion Solution
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Aug 22, 2017 · Fundamentals

What’s Next for Software Testing? Emerging Trends and Technologies Shaping the Future

This article surveys the latest software testing trends—from security, AI‑driven testing, static analysis, and precise testing to cloud, IoT, open‑source tools, container‑based DevOps, agile, big‑data, and mobile testing—highlighting opportunities, challenges, and future directions for test engineers.

AI testingIoT testingautomation
0 likes · 17 min read
What’s Next for Software Testing? Emerging Trends and Technologies Shaping the Future