A recent survey of electronics engineers revealed that 86% of respondents trust AI to play at least some role in their component selection for their designs, and more than a fifth of those (23%) said they would “completely” trust AI to select components, reports Electronic Products & Technology.
The results of the survey show that engineers are “beginning to see a path for AI’s place in terms of component selection in their designs, especially where safety or innovation are considerations,” says Cliff Ortmeyer, Head of Technical Marketing at Newark, the research sponsors. “As AI models get more sophisticated, it seems clear that they will become more useful for modelling designs, selecting components, shortening design cycles, and reducing time to market of new products,” he added.
This is a significant increase from a similar survey conducted in 2021, which found that only 68% of engineers trusted AI to play a role in component selection. The increase in trust is likely due to the continued development of AI technology, which is becoming more sophisticated and accurate.
One respondent said, “Hardware design is fundamentally composed of patterns. It’s just a matter of time until people discover ways to get online netlists and schematic PDFs and use them as good AI training data. In fact, AI will even be able to improve on them once there are better digital representations of devices and what’s inside them, coupled with telemetry from all of the subsystems.”
However, the survey also found that there is some lingering concern about intentional or unintentional bias in AI systems. Some engineers are worried that AI systems may be biased towards certain types of components or manufacturers. This is a valid concern, and it is important to be aware of the potential for bias when using AI for component selection.
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