Abstract: An image sensor comprising a semiconductor substrate, a plurality of photodiodes, a multilayer reflective stack, and a dielectric layer is disclosed. The plurality of photodiodes is disposed within the semiconductor substrate and includes a first photodiode and a second photodiode adjacent to the first photodiode. The multilayer reflective stack comprises a first material having a first refractive index and a second material having a second refractive index. The dielectric layer has a third refractive index and is disposed between the first photodiode and the multilayer reflective stack. The first material is disposed between the second material and the dielectric layer. The first refractive index is greater than the second refractive index and the third refractive index.

Abstract: A global-shutter pixel includes a semiconductor substrate that has a storage node and a photodiode region. A front surface of the substrate has a first recessed region between the photodiode region and the storage node in a first direction parallel to the front surface, and a second recessed region between the first recessed region and the storage node in the first direction. The first and second recessed regions extend into the substrate to a respective first recess-depth and a second recess-depth that exceeds the first recess-depth. The photodiode region includes (i) a first doped-section spanning a depth-range and having a first dopant concentration, and (ii) a second doped-section between the front surface and the first doped-section and having a second dopant concentration that is less than the first dopant concentration. The first doped-section includes a protrusion that extends at least partially beneath the first recessed region in the first direction.

Abstract: Techniques are disclosed for deploying functions in a cloud computing environment. Parameters are annotated in a plurality of Helm charts with a predetermined token. Duplicated values in the Helm charts are identified and the predetermined token is reused for the duplicated values. Schema files from the plurality of Helm charts are parsed to extract the predetermined tokens. Input data are received as values for the predetermined tokens. The function is deployed in the cloud computing environment using the values for the predetermined tokens as parameters in the Helm charts.

Abstract: An image sensor with passivated full deep-trench isolation includes a semiconductor substrate, the substrate including a plurality of sidewalls that form a plurality of trenches that separates pixels of a pixel array, each of the plurality of trenches extending from a first surface of the semiconductor substrate to a second surface opposite the first surface, and a passivation layer disposed on the second surface, the passivation layer lining the plurality of sidewall surfaces and the back surface of the semiconductor substrate. Each of the plurality of trenches extending from the first surface into the semiconductor substrate forming a first opening proximate to the first surface and a second opening proximate to the second surface, wherein the first opening has a width greater than that of the second opening.

Abstract: An image sensor with passivated full deep-trench isolation includes a semiconductor substrate, the substrate including a plurality of sidewalls that form a plurality of trenches that separates pixels of a pixel array, and a passivation layer lining the plurality of sidewall surfaces and the back surface of the semiconductor substrate. A method for forming an image sensor with passivated full deep-trench isolation includes forming trenches in a semiconductor substrate, filling the trenches with a sacrificial material, forming a plurality of photodiode regions, forming a circuit layer, thinning the semiconductor substrate, and removing the sacrificial material. A method for reducing noise in an image sensor includes removing material from a semiconductor substrate to form a plurality of trenches that extend from a front surface toward a back surface, and depositing a dielectric material onto the back surface and into the plurality of trenches through a back opening of each trench.

Abstract: Techniques are disclosed for deploying functions in a cloud computing environment. Parameters are annotated in a plurality of Helm charts with a predetermined token. Duplicated values in the Helm charts are identified and the predetermined token is reused for the duplicated values. Schema files from the plurality of Helm charts are parsed to extract the predetermined tokens. Input data are received as values for the predetermined tokens. The function is deployed in the cloud computing environment using the values for the predetermined tokens as parameters in the Helm charts.

Abstract: An image sensor with passivated full deep-trench isolation includes a semiconductor substrate, the substrate including a plurality of sidewalls that form a plurality of trenches that separates pixels of a pixel array, and a passivation layer lining the plurality of sidewall surfaces and the back surface of the semiconductor substrate. A method for forming an image sensor with passivated full deep-trench isolation includes forming trenches in a semiconductor substrate, filling the trenches with a sacrificial material, forming a plurality of photodiode regions, forming a circuit layer, thinning the semiconductor substrate, and removing the sacrificial material. A method for reducing noise in an image sensor includes removing material from a semiconductor substrate to form a plurality of trenches that extend from a front surface toward a back surface, and depositing a dielectric material onto the back surface and into the plurality of trenches through a back opening of each trench.

Abstract: An electrical and mechanical junction structure for lighting or signage hanging high above the ground is provided. This junction structure is separable into two components by an actuation connector to facilitate the lowering and raising of the lighting or signage for maintenance. The actuation connector is raised and inserted into the junction structure by an unmanned aerial vehicle.

Abstract: Embodiments are directed to methods of identifying a subject having prostate cancer or renal cell carcinoma; or prostate cancer risk assessment of a subject by determining level of at least one volatile organic compound from a sample from the subject where a significantly different level of the at least one volatile organic compound in the sample as compared to the level of the compound in a control sample is indicative of the presence of prostate cancer or renal cell carcinoma or low-risk prostate cancer or high-low prostate cancer in the subject.

Abstract: One or more control lines other than those used to activate a non-volatile memory cell may be used to sense a data value of the cell. For example, an apparatus may include a selection circuit that selects, based on an address corresponding to a non-volatile memory cell included an array of non-volatile memory cells, a word line coupled to the non-volatile memory cells to activate the non-volatile memory cell. An amplifier circuit may sense a data value stored in the non-volatile memory cell based on a sense signal having a voltage level based on voltage levels of one or more other word lines of the array of non-volatile memory cells. In another example, a data value of a non-volatile memory cell coupled to a word line may be sensed based on the voltage levels of one or more dummy sense lines within the array.

Abstract: Apparatuses, systems, methods, and computer program products are disclosed for error reducing matrix generation. An apparatus includes a test circuit that performs a test on a set of memory cells. An apparatus includes a masking circuit that determines a masking array based on a test performed on a set of memory cells. An apparatus includes a decoding circuit that decodes encoded data from a set of memory cells based on a masking array.

Abstract: A network device is connected to user device and includes a processor and a memory storing executable code executed by the processor. The network device is configured to receive first keyword data and speech data followed by the first keyword data; determine whether the first keyword data corresponds to a first keyword; in response to determining that the first keyword data corresponds to the first keyword, recognize word information from the speech data to generate at least one word recognition result; send the at least one word recognition result through a first communication path to a first network; and in response to determining that the first keyword data corresponds to a second keyword, stop recognizing the word information from the speech data followed by the first keyword data, and send the speech data through a second communication path to the first user device.

Abstract: A first data set corresponding to an evaluation run of a model is generated at a machine learning service for display via an interactive interface. The data set includes a prediction quality metric. A target value of an interpretation threshold associated with the model is determined based on a detection of a particular client's interaction with the interface. An indication of a change to the prediction quality metric that results from the selection of the target value may be initiated.

Abstract: An electrical and mechanical junction structure for lighting or signage hanging high above the ground is provided. This junction structure is separable into two components by an actuation connector to facilitate the lowering and raising of the lighting or signage for maintenance. The actuation connector is raised and inserted into the junction structure by an unmanned aerial vehicle.

Abstract: One or more control lines other than those used to activate a non-volatile memory cell may be used to sense a data value of the cell. For example, an apparatus may include a selection circuit that selects, based on an address corresponding to a non-volatile memory cell included an array of non-volatile memory cells, a word line coupled to the non-volatile memory cells to activate the non-volatile memory cell. An amplifier circuit may sense a data value stored in the non-volatile memory cell based on a sense signal having a voltage level based on voltage levels of one or more other word lines of the array of non-volatile memory cells. In another example, a data value of a non-volatile memory cell coupled to a word line may be sensed based on the voltage levels of one or more dummy sense lines within the array.

Abstract: A first data set corresponding to an evaluation run of a model is generated at a machine learning service for display via an interactive interface. The data set includes a prediction quality metric. A target value of an interpretation threshold associated with the model is determined based on a detection of a particular client's interaction with the interface. An indication of a change to the prediction quality metric that results from the selection of the target value may be initiated.

Abstract: A network device is connected to user device and includes a processor and a memory storing executable code executed by the processor. The network device is configured to receive first keyword data and speech data followed by the first keyword data; determine whether the first keyword data corresponds to a first keyword; in response to determining that the first keyword data corresponds to the first keyword, recognize word information from the speech data to generate at least one word recognition result; send the at least one word recognition result through a first communication path to a first network; and in response to determining that the first keyword data corresponds to a second keyword, stop recognizing the word information from the speech data followed by the first keyword data, and send the speech data through a second communication path to the first user device.

Abstract: Embodiments are directed to methods of identifying a subject having prostate cancer or renal cell carcinoma; or prostate cancer risk assessment of a subject by determining level of at least one volatile organic compound from a sample from the subject where a significantly different level of the at least one volatile organic compound in the sample as compared to the level of the compound in a control sample is indicative of the presence of prostate cancer or renal cell carcinoma or low-risk prostate cancer or high-low prostate cancer in the subject.