Smarter Testing Machines Require New Training Approaches
Summary
Recent advancements in universal testing machines include higher accuracy, integration of automation capabilities, and improved safety features, said Stephen Sobchuk, senior product manager, Instron. In the right hands, AI can lead to smarter systems that can learn from vast amounts of testing data, identify patterns, and make predictions that human operators might miss. "A lot of our customers tell us that retaining employees is a big challenge, which means they are constantly onboarding and training new people to operate their testing systems," Sobchuk said. "Giving lab managers the ability to build out guided workflows for each test method helps eliminate guesswork, missed steps, and costly errors," Sobchuk added. As the industry focuses on operator well-being alongside machine performance, improving the physical design of testing equipment has direct benefits for worker health and safety.