Abstract: Systems and methods described herein may utilize a non-linear scaling relationship to scale brightness of selective portions of the display in a manner that reduces or eliminates perceivable banding effects. By non-linearly controlling changes in brightness of the display, a viewer may perceive a more uniform, linear dimming towards the relatively dimmer region without perceiving banding, leading to improved user experience when viewing the electronic display.

Abstract: An electronic device may include a display panel implementing a first region having a first pixel layout and a second region having a second pixel layout, a sensor disposed behind the first region, and image processing circuitry communicatively coupled to the display panel. The image processing circuitry may process image data associated with the first region of the display panel using a first pixel layout resampler and process image data associated with the second region of the display panel using a second pixel layout resampler.

Abstract: In a display characterized by regions with different pixel responses due, for example, to local pixel density variation, voltage-to-luminance matching may be non-universal. Therefore, in order to avoid visual artifacts that may hinder a desired visualization of displayed content, it may be advantageous to compensate the different gamma responses. In some cases, such as with electronic devices having a single pixel density across the display, optical calibration may be performed to determine voltage-to-luminance matching. However, in electronic devices with local pixel density variations, it may be disadvantageous to perform optical calibrations for each region with a different pixel density. Instead of using two distinct gamma curves which may include dedicated optical calibration, a global nonlinear scaler (GNLS) compensation may be applied.

Abstract: Systems and methods described herein may utilize a non-linear scaling relationship to scale brightness of selective portions of the display in a manner that reduces or eliminates perceivable banding effects. By non-linearly controlling changes in brightness of the display, a viewer may perceive a more uniform, linear dimming towards the relatively dimmer region without perceiving banding, leading to improved user experience when viewing the electronic display.

Abstract: In a display characterized by regions with different pixel responses due, for example, to local pixel density variation, voltage-to-luminance matching may be non-universal. Therefore, in order to avoid visual artifacts that may hinder a desired visualization of displayed content, it may be advantageous to compensate the different gamma responses. In some cases, such as with electronic devices having a single pixel density across the display, optical calibration may be performed to determine voltage-to-luminance matching. However, in electronic devices with local pixel density variations, it may be disadvantageous to perform optical calibrations for each region with a different pixel density. Instead of using two distinct gamma curves which may include dedicated optical calibration, a global nonlinear scaler (GNLS) compensation may be applied.

Abstract: Amplitude-only Fourier optical processors is capable of processing large-scale matrices in a single time-step and microsecond-short latency. The processors may have a 4f optical system architecture and may employ reprogrammable high-resolution amplitude-only spatial modulators, such as Digital Micromirror Devices (DMD). In addition, methods are provided for obtaining amplitude-only electro-optical convolutions between large matrices displayed by the DMDs. The large matrices on which convolution is performed may be feature maps corresponding to images and kernel matrices used in neural networks classification systems. Analog optical convolutional neural networks are also provided that perform accurate classification tasks on large matrices. In addition, methods are provided for off-chip training the analog optical convolutional neural networks.

Abstract: An accelerator for modern convolutional neural networks applies the Winograd filtering algorithm in a wavelength division multiplexing integrated photonics circuit modulated by a memristor-based analog memory unit.

Abstract: A system performing optical and/or electro-optical tensor operations and featuring a photonic dot product engine with a first input and a second input and summation to perform multiply-accumulate operations. The first and/or second input is a matrix, and/or a vector, and/or scalar. The system is a Photonic Tensor Core.

Abstract: An accelerator for modern convolutional neural networks applies the Winograd filtering algorithm in a wavelength division multiplexing integrated photonics circuit modulated by a memristor-based analog memory unit.

Abstract: An accelerator for modern convolutional neural networks applies the Winograd filtering algorithm in a wavelength division multiplexing integrated photonics circuit modulated by a memristor-based analog memory unit.

Abstract: An accelerator for modern convolutional neural networks applies the Winograd filtering algorithm in a wavelength division multiplexing integrated photonics circuit modulated by a memristor-based analog memory unit.