Analytics software uses ML to speed semiconductor design validation: Page 2 of 2

May 12, 2020 //By Nick Flaherty
Machine learning boosts power waveform analytics in the cloud
Keysight's PathWave Waveform Analytics uses machine learning algorithms to improve anomaly detection in voltage and current waveforms in low power semiconductor designs
big vector data or waveform that was captured and stored. An unlimited number of channels on a single dashboard, with options to pin or move the waveform in the interested channel for comparison.

The tool itself if power eficient as the 60 percent reduction in data from the compression allows more to be stored locally for a faster response and less data to be sent to the cloud, while still making full use of the cloud-based machine learning algorithms.

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