AI and the Dot-com Bubble: Learning from the Past to Shape the Future Is AI the next dot-com bubble? Discover how past lessons can guide today’s innovation for a future shaped by intelligent technologies. Continue reading
How Machine Learning and DAQ are Driving Energy Sustainability Forward Learn how machine learning and data acquisition (DAQ) can work together to enhance wind turbine efficiency, tackling dynamic stall and structural stress.
6G and AI: Rethinking Test in Next-Generation Wireless Systems Explore how 6G and AI are reshaping wireless networks. Learn about key challenges, AI integration, and advanced testing for next-gen systems.
Making the IoT Work for Test Applying IoT capabilities such as systems and data management, visualization, analytics, and application enablement to the automated test workflow can equip engineers to overcome the challenges of the IoT.
Improving Device Quality by Improving Your Production Testing The growth in premium quality electronics is changing consumer expectations throughout the market and increasing the challenges for test engineering. Let's talk about the ways test engineering can drive product quality.
Next 9O/1OO Why You Need to Build a Test Strategy Building an effective test strategy demonstrates how your team contributes to the unique promise of your company beyond operational costs.
Next 41/1OO Finding Failure We celebrate those who seek out failure because they, above all other people, know that the only way to trust if something works is to know all the ways it won’t.
Next 6O/1OO So Much to Test, So Little Time Why a time-to-market schedule does not equal an NPI schedule (and what this means for test engineering teams).