Abstract: Artificial intelligence (AI) operation is improved by combining pre-processing with quantization and post-processing with dequantization. Floating point conversion may be implemented as fixed point to fixed point conversion. Floating point conversion and precision may be mimicked, for example, using high precision parameters in a fixed point to fixed point conversion. Mimicking floating point using hardware acceleration reduces sequential operations, such as machine learning model preprocessing and quantization by a CPU, to one or two clock cycles in a single step operation. Accordingly, computing resources, such as computing device cameras, may provide raw data to a hardware accelerator configured to quickly render the input in the correct format to an inference model by simultaneously performing preprocessing and quantization, substantially reducing inference latency and device power consumption while freeing up a CPU for other tasks.

Abstract: Examples are disclosed relating to electronic styli and methods for protecting a tip of an electronic stylus. In one example, an electronic stylus comprises an elongated body and a tip protection mechanism within the elongated body comprising a housing that is moveable relative to the elongated body. A protective cone is located at a body tip end of the body, with the stylus tip configured to protrude from the protective cone. A method for protecting the tip comprises preventing relative movement between the housing and the elongated body when a force exerted on the tip is below a protection threshold. When the force exerted on the tip reaches the protection threshold, the method includes allowing movement between the housing and the elongated body that retracts the tip into the protective cone.

Abstract: A computing system includes a touch-sensitive display and one or more processors. The touch-sensitive display is configured to detect a run-time touch input from a user. The one or more processors are configured to execute instructions using portions of associated memory to implement a touch driver of the touch-sensitive display and an artificial intelligence model. The touch driver is configured to process the run-time touch input based on a plurality of calibration parameters and output a touch event and a plurality of run-time touch input parameters associated with the touch input event. The artificial intelligence model is configured to receive, as input, the run-time touch input parameters. Responsive to receiving the run-time touch input parameters, the artificial intelligence model is configured to output a personalized user touch driver profile including a plurality of updated calibration parameters for the touch driver.

Abstract: The disclosed technology controls a digital inking device by communicating electrostatic inking signals between the digital inking device and an ink-receiving computing device in an inking mode enabling the digital inking device to render digital ink in a display of the ink-receiving computing device via the electrostatic inking signals, detecting proximity of a peripheral communication device relative to the digital inking device, transitioning the digital inking device from the inking mode to a non-inking mode that terminates communication of the electrostatic inking signals between the digital inking device and the ink-receiving computing device, based at least in part on the detecting operation, and communicating electrostatic data signals in the non-inking mode between the digital inking device and the peripheral communication device in the non-inking mode, based at least in part on the transitioning to the non-inking mode.

Abstract: The disclosed technology provides wireless uplink transmission from a computing device to a peripheral device by communicating over a wireless connection between a digitizer of the computing device and the peripheral device by a multiuse communication protocol in which the digitizer receives input from the peripheral input device to affect operation of the computing device, transitioning communication from the multiuse communication protocol to a dedicated uplink communication protocol in which communication between with the peripheral input device includes transmission of multiple consecutive uplink blocks before the digitizer accepts downlink communications from the peripheral input device, and transmitting, while using the dedicated uplink communication protocol, consecutive data uplink blocks representing an upload to the peripheral input device before the digitizer accepts downlink communications from the peripheral input device.

Abstract: The disclosed technology controls a digital inking device by communicating electrostatic inking signals between the digital inking device and an ink-receiving computing device in an inking mode enabling the digital inking device to render digital ink in a display of the ink-receiving computing device via the electrostatic inking signals, detecting proximity of a peripheral communication device relative to the digital inking device, transitioning the digital inking device from the inking mode to a non-inking mode that terminates communication of the electrostatic inking signals between the digital inking device and the ink-receiving computing device, based at least in part on the detecting operation, and communicating electrostatic data signals in the non-inking mode between the digital inking device and the peripheral communication device in the non-inking mode, based at least in part on the transitioning to the non-inking mode.

Abstract: A computing system includes a touch-sensitive display and one or more processors. The touch-sensitive display is configured to detect a run-time touch input from a user. The one or more processors are configured to execute instructions using portions of associated memory to implement a touch driver of the touch-sensitive display and an artificial intelligence model. The touch driver is configured to process the run-time touch input based on a plurality of calibration parameters and output a touch event and a plurality of run-time touch input parameters associated with the touch input event. The artificial intelligence model is configured to receive, as input, the run-time touch input parameters. Responsive to receiving the run-time touch input parameters, the artificial intelligence model is configured to output a personalized user touch driver profile including a plurality of updated calibration parameters for the touch driver.

Abstract: A computing system includes a touch-sensitive display and one or more processors. The touch-sensitive display is configured to detect a run-time touch input from a user. The one or more processors are configured to execute instructions using portions of associated memory to implement a touch driver of the touch-sensitive display and an artificial intelligence model. The touch driver is configured to process the run-time touch input based on a plurality of calibration parameters and output a touch event and a plurality of run-time touch input parameters associated with the touch input event. The artificial intelligence model is configured to receive, as input, the run-time touch input parameters. Responsive to receiving the run-time touch input parameters, the artificial intelligence model is configured to output a personalized user touch driver profile including a plurality of updated calibration parameters for the touch driver.

Abstract: A computing system includes a touch-sensitive display and one or more processors. The touch-sensitive display is configured to detect a run-time touch input from a user. The one or more processors are configured to execute instructions using portions of associated memory to implement a touch driver of the touch-sensitive display and an artificial intelligence model. The touch driver is configured to process the run-time touch input based on a plurality of calibration parameters and output a touch event and a plurality of run-time touch input parameters associated with the touch input event. The artificial intelligence model is configured to receive, as input, the run-time touch input parameters. Responsive to receiving the run-time touch input parameters, the artificial intelligence model is configured to output a personalized user touch driver profile including a plurality of updated calibration parameters for the touch driver.

Abstract: A portable bathtub for maintaining the temperature of the water used for bathing. The bathtub is comprised of an outer tub comprising an upper rim portion and a receptacle portion, as well as at least a first drain opening and an outlet; and, an inner tub comprising an upper rim portion and a receptacle portion, as well as a second drain opening. The inner tub is positioned within the outer tub such that the receptacle portion of the inner tub is spaced apart a predetermined distance from the receptacle portion of the outer tub, creating a hollow space between the two tubs. The upper rim portion of the inner tub is removably connected to the upper rim portion of the outer tub. At least one inlet is formed between the upper rim portion of the inner tub and the upper rim portion of the outer tub, for introducing a heated liquid to the hollow space.