Abstract: A three dimensional touch sensing system having a touch surface configured to detect a touch input located above the touch surface is disclosed. The system includes a plurality of capacitive touch sensing electrodes disposed on the touch surface, each electrode having a baseline capacitance and a touch capacitance based on the touch input. An oscillating plane is disposed below the touch surface. A touch detector is configured to drive one of the touch sensing electrodes with an AC signal having a frequency that shifts from a baseline frequency to a touch frequency based on the change in electrode capacitance from the baseline capacitance to the touch capacitance. The touch detector is configured to drive the oscillating plane to the touch frequency.

Abstract: A multiplying analog to digital converter including an analog to digital converter (ADC) having a sample input and a feedback input and an ADC output configured with a feedback path configured to couple the ADC output to a digital to analog converter. A feedback attenuator is disposed in the feedback path, the feedback attenuator being configured to attenuate a feedback signal coupled to the feedback input, the feedback attenuator being configured to provide analog multiplication observed at the ADC output. A barrel shifter is configured to provide digital multiplication of the ADC output. The feedback attenuator may be configured as a divider network. The feedback attenuator may be configured to provide attenuation using only passive components. The feedback attenuator may be configured as a capacitive divider network. The feedback attenuator may be configured to provide attenuation ranging between 1 and 0.5.

Abstract: A machine-learning accelerator (MLA) integrated circuit for extracting features from signals and performing inference computations is disclosed. The MLA integrated circuit includes a framework of finite state machine (FSM) kernels that are machine-learning algorithms implemented in hardware. The MLA integrated circuit further includes a kernel controller having mathematical structures implemented in hardware in communication with the framework of FSM kernels. An arithmetic engine implemented in hardware within the MLA integrated circuit is in communication with the kernel controller to perform computations for the mathematical structures. In at least one embodiment, the MLA integrated circuit includes a compression decompression accelerator (CDA) implemented in hardware and coupled between a memory and the kernel controller for compressing data to be stored in the memory and for decompressing data retrieved from the memory.

Abstract: A three dimensional touch sensing system having a touch surface configured to detect a touch input located above the touch surface is disclosed. The system includes a plurality of capacitive touch sensing electrodes disposed on the touch surface, each electrode having a baseline capacitance and a touch capacitance based on the touch input. An oscillating plane is disposed below the touch surface. A touch detector is configured to drive one of the touch sensing electrodes with an AC signal having a frequency that shifts from a baseline frequency to a touch frequency based on the change in electrode capacitance from the baseline capacitance to the touch capacitance. The touch detector is configured to drive the oscillating plane to the touch frequency.

Abstract: A multiplying analog to digital converter including an analog to digital converter (ADC) having a sample input and a feedback input and an ADC output configured with a feedback path configured to couple the ADC output to a digital to analog converter. A feedback attenuator is disposed in the feedback path, the feedback attenuator being configured to attenuate a feedback signal coupled to the feedback input, the feedback attenuator being configured to provide analog multiplication observed at the ADC output. A barrel shifter is configured to provide digital multiplication of the ADC output. The feedback attenuator may be configured as a divider network. The feedback attenuator may be configured to provide attenuation using only passive components. The feedback attenuator may be configured as a capacitive divider network. The feedback attenuator may be configured to provide attenuation ranging between 1 and 0.5.

Abstract: A multiplying analog to digital converter (ADC) including a successive-approximation-register (SAR) analog to digital converter (ADC) having a sample input and a feedback input and an ADC output configured with a feedback path configured to couple the ADC output to a digital to analog converter. A feedback attenuator is disposed in the feedback path, the feedback attenuator being configured to attenuate a feedback signal coupled to the feedback input, the feedback attenuator being configured to provide analog multiplication observed at the ADC output. A barrel shifter is configured to provide digital multiplication of the ADC output. The feedback attenuator may be configured as a divider network. The feedback attenuator may be configured to provide attenuation using only passive components. The feedback attenuator may be configured as a capacitive divider network. The feedback attenuator may be configured to provide attenuation ranging between 1 and 0.5.

Abstract: Large-area electronics (LAE) enables the formation of a large number of sensors capable of spanning dimensions on the order of square meters. An example is X-ray imagers, which have been scaling both in dimension and number of sensors, today reaching millions of pixels. However, processing of the sensor data requires interfacing thousands of signals to CMOS ICs, because the implementation of complex functions in LAE has proven unviable due to the low electrical performance and inherent variability of the active devices available, namely amorphous silicon (a-Si) thin-film transistors (TFTs) on glass. Envisioning applications that perform sensing on even greater scales, disclosed is an approach whereby high-quality image detection is performed directly in the LAE domain using TFTs. The high variability and number of process defects affecting both the TFTs and sensors are overcome using a machine-learning algorithm, known as Error-Adaptive Classifier Boosting (EACB), to form an embedded classifier.

Abstract: A multiplying analog to digital converter (ADC) including a successive-approximation-register (SAR) analog to digital converter (ADC) having a sample input and a feedback input and an ADC output configured with a feedback path configured to couple the ADC output to a digital to analog converter. A feedback attenuator is disposed in the feedback path, the feedback attenuator being configured to attenuate a feedback signal coupled to the feedback input, the feedback attenuator being configured to provide analog multiplication observed at the ADC output. A barrel shifter is configured to provide digital multiplication of the ADC output. The feedback attenuator may be configured as a divider network. The feedback attenuator may be configured to provide attenuation using only passive components. The feedback attenuator may be configured as a capacitive divider network. The feedback attenuator may be configured to provide attenuation ranging between 1 and 0.5.

Abstract: A system and method for interfacing large-area electronics with integrated circuit devices is provided. The system may be implemented in an electronic device including a large area electronic (LAE) device disposed on a substrate. An integrated circuit IC is disposed on the substrate. A non-contact interface is disposed on the substrate and coupled between the LAE device and the IC. The non-contact interface is configured to provide at least one of a data acquisition path or control path between the LAE device and the IC.

Abstract: A three dimensional touch sensing system having a touch surface configured to detect a touch input located above the touch surface is disclosed. The system includes a plurality of capacitive touch sensing electrodes disposed on the touch surface, each electrode having a baseline capacitance and a touch capacitance based on the touch input. An oscillating plane is disposed below the touch surface. A touch detector is configured to drive one of the touch sensing electrodes with an AC signal having a frequency that shifts from a baseline frequency to a touch frequency based on the change in electrode capacitance from the baseline capacitance to the touch capacitance. The touch detector is configured to drive the oscillating plane to the touch frequency.

Abstract: A machine-learning accelerator (MLA) integrated circuit for extracting features from signals and performing inference computations is disclosed. The MLA integrated circuit includes a framework of finite state machine (FSM) kernels that are machine-learning algorithms implemented in hardware. The MLA integrated circuit further includes a kernel controller having mathematical structures implemented in hardware in communication with the framework of FSM kernels. An arithmetic engine implemented in hardware within the MLA integrated circuit is in communication with the kernel controller to perform computations for the mathematical structures. In at least one embodiment, the MLA integrated circuit includes a compression decompression accelerator (CDA) implemented in hardware and coupled between a memory and the kernel controller for compressing data to be stored in the memory and for decompressing data retrieved from the memory.

Abstract: A biomedical device for comprehensive and a data-driven patient monitoring is disclosed. The biomedical device includes a receiver to receive sensor data associated with physiological signals and perform feature computations on the sensor data. A control system is included to classify the sensor data using the feature computations to generate medically-relevant decisions and identify relevant data instances, and to automatically select a set of relevant data instances. A base station or programming interface can provide a patient-generic seed model to the biomedical device. The patient-specific seed model is usable by the control system to automatically select a coarse set of relevant data instances that are transmitted to the base station, which in turn analyzes the coarse set of relevant data instances to generate a patient-specific model. The biomedical device receives the patient-specific model, which is usable by the control system to automatically select a refined set of relevant data instances.

Abstract: A system and method for interfacing large-area electronics with integrated circuit devices is provided. The system may be implemented in an electronic device including a large area electronic (LAE) device disposed on a substrate. An integrated circuit IC is disposed on the substrate. A non-contact interface is disposed on the substrate and coupled between the LAE device and the IC. The non-contact interface is configured to provide at least one of a data acquisition path or control path between the LAE device and the IC.

Abstract: A memory device includes a plurality of cells comprising CMOS structures. A non-strobed regenerative sense-amplifier (NSR-SA) is coupled to the cells and employs offset compensation and avoids strobe timing uncertainty to increase read-access speeds.

Abstract: A memory device includes a plurality of cells comprising CMOS structures. A non-strobed regenerative sense-amplifier (NSR-SA) is coupled to the cells and employs offset compensation and avoids strobe timing uncertainty to increase read-access speeds.