Researchers in the Murmann Mixed Signal Group have developed a pipelined chip architecture with inverted residual and linear bottlenecks-based networks for energy efficient Machine Learning inference on edge devices.
During post-silicon validation and debug, manufactured integrated circuits (ICs) are tested in actual system environments to detect and fix design flaws (bugs). Existing techniques are costly due to ad hoc, manual methods.
Researchers at Stanford have developed a simpler and low-cost micro-cavity design for color tuning of organic light emitting devices (OLEDs) for display applications. A micro-cavity is an essential part of OLED display for high color purity.
Stanford researchers have designed a high-voltage cascode GaN/SiC device combining the advantages of both a GaN and an SiC device (i.e. reduced gate loss/simple gate drive requirements)