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Automation in AI Data Processing
Introducing a machining automation model to improve the quality of data and the performance of deep learning models
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Advancement of De-identification Technology
As three acts related to data passed on January 9, 2020, the use of ‘pseudonym information’ becomes possible as a way to remove concerns over data transaction and personal information leakage in the 4th industrial revolution era.
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Building AI Training Datasets Through Automation Technology
Testworks’ automation technology using AI models to build high-quality and large-scale datasets
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The Importance of GAN in Creating AI Training Datasets
Solving the problem of sparse data through quantitative and qualitative advancement of data
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‘On Democratization of AI’
Everyone should learn, at least conceptually, how AI works and involve in the makings of AI systems. Sign up for free Machine Learning courses, donate data, participate in annotation process, stop mindlessly clicking through recommended links, or just put down the smartphone and take a walk.
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AI for Good or Bad?
We stopped questioning what AI can do. Instead we are asking what else AI cannot do.
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“Test infinite possibilities.” – CEO Dale Yoon
Social Enterprise with Technology, Dream to Create Global Social Values.
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How was the social enterprise Testworks started?
[Source – DBR CASE STUDY: AI Learning Data Processing Startup “Testworks”]
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What COVID-19 Teaches Us About Software Development and Testing
While the nations are making community efforts to stop the pandemic, there are a lot of analogies that we can draw from the COVID-19 responses and software testing. These are the lessons that I learned as a software developer and tester and I wish people would have heeded.