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Vision-First Test Automation - What, Why, How, & Lessons Learned | Jason Huggins

Vision-First Test Automation - What, Why, How, & Lessons Learned | Jason Huggins

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About the talk

Join this session where ๐‰๐š๐ฌ๐จ๐ง ๐‡๐ฎ๐ ๐ ๐ข๐ง๐ฌ, Founder & CEO of Tapster Robotics and Creator of Selenium and Appium, dives into the 'vision-first' approach to mobile automation. Discover how cameras, open-source computer vision libraries, and USB protocols can be used to automate smartphones when other methods fall short.

Key Highlights

35+ Sessions

60+ Speakers

20,000+ Attendees

2000+ Minutes

Live Q&As

Key Topics Covered

Gain a clear understanding of what AI hallucinations are, why they occur, and their potential impact on real-world AI applications.

Learn about key tools such as DeepXplore and how they can be utilized to identify and mitigate AI hallucinations.

Understand the principles and techniques of adversarial testing and how it helps in uncovering vulnerabilities like hallucinations in AI models.

Recognize the importance of securing AI models against hallucinations and other errors and the ethical implications of deploying untested or vulnerable AI systems.

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