Testing Machine Learning: Insight and Experience from Using Simulators to Test Trained Functionality
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Talk to any industry insider, and they’ll tell you that the landscape of software testing is undergoing a paradigm shift that’s rendering many existing practices inadequate. The pace of software ...
Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...
Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety. Devops teams aim to increase deployment frequency, reduce the number of ...
Artificial intelligence and machine learning are changing how businesses operate. Enterprises are amassing a vast amount of data, which is being used within AI and ML models to automate and improve ...
Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...
This article is part of our series that explores the business of artificial intelligence. The growing digitization of nearly every aspect of our world and lives has created immense opportunities for ...
Crooks start most payments fraud by trying to figure out if the crime is actually worth the effort, sending small probes to see if there is enough money to steal. Stripe contends there is a way to ...
Scientists at the University of Michigan have developed machine learning models to predict childhood attention-deficit hyperactivity (ADHD) disorder symptoms from neurocognitive testing and child ...
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