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.
Magnetic field measurements using currently available devices require complex switching circuitry to mitigate the offset and noise present in measurements.
Stanford researchers have designed a frequency-multiplexed neural probe architecture that enables massive scaling of electrophysiological recording from neurons.
Stanford researchers have patented an image sensor that overcomes frame rate and power consumption limits for high-speed mega-pixel imaging, and therefore can extend battery life for mobile phone cameras.