Abstract: A pixel for an ambient light and/or color sensor includes a plurality of pinned photodiodes. The pixel also includes a floating diffusion region. A ratio of an active area of the plurality of pinned photodiodes to an area of the floating diffusion region is greater than 150.

Abstract: In various examples, a deep neural network (DNN) is trained to accurately predict, in deployment, distances to objects and obstacles using image data alone. The DNN may be trained with ground truth data that is generated and encoded using sensor data from any number of depth predicting sensors, such as, without limitation, RADAR sensors, LIDAR sensors, and/or SONAR sensors. Camera adaptation algorithms may be used in various embodiments to adapt the DNN for use with image data generated by cameras with varying parameters—such as varying fields of view. In some examples, a post-processing safety bounds operation may be executed on the predictions of the DNN to ensure that the predictions fall within a safety-permissible range.

Abstract: Methods of making orally available softgels includes pre-wetting a probiotic with an edible oil to produce a wetted supplement, wherein the edible oil is present in a range of 25% to 75% by weight of a total weight of the probiotic and edible oil, heating the wetted supplement to a temperature in a range of 35° C. to 40° C., blending the wetted supplement and a molten chocolate component together to produce a liquid fill material, encapsulating the liquid fill material in a softgel coating to produce an orally available softgel, and cooling the orally available softgel to have a softgel capsule shell comprising 5% to 15% by weight water. The fill material is a solid at room temperature in the cooled orally available softgel.

Abstract: In various examples, live perception from sensors of a vehicle may be leveraged to detect and classify intersection contention areas in an environment of a vehicle in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute outputs—such as signed distance functions—that may correspond to locations of boundaries delineating intersection contention areas. The signed distance functions may be decoded and/or post-processed to determine instance segmentation masks representing locations and classifications of intersection areas or regions. The locations of the intersections areas or regions may be generated in image-space and converted to world-space coordinates to aid an autonomous or semi-autonomous vehicle in navigating intersections according to rules of the road, traffic priority considerations, and/or the like.

Abstract: The present disclosure is directed to a multi-functional composition including activated carbon that is useful for injection into aqueous mediums such as soil or groundwater for sequestration of contaminants in a contaminated plume. The composition of activated carbon may include physical and chemical properties to enhance mechanism of contaminant physisorption and chemisorption including enhanced adsorption kinetics through manipulation of particle surface area, enhanced capacity and selectivity through controlled pore size distribution and enhanced electrostatic and hydrophobic interactions with contaminants. The multi-functional composition may further include a positively-charged nitrogen-functionalized organic compound and/or moieties that improve the activated carbon's ability to sequester contaminants in a subsurface environment.

Abstract: Systems, methods, and computer-readable media are described for compact radar systems. In some examples, a compact radar system can include a first set of transmit antennas, a second set of receive antennas, one or more processors, and at least one computer-readable storage medium storing computer-executable instructions which, when executed by the one or more processors, cause the radar system to coordinate digital beam steering of the first set of transmit antennas and the second set of receive antennas, and coordinate digital beam forming with one or more of the second set of receive antennas to detect one or more objects within a distance of the radar system.

Abstract: Implementations described herein are directed to enabling collaborative ranking of interpretations of spoken utterances based on data that is available to an automated assistant and third-party agent(s), respectively. The automated assistant can determine first-party interpretation(s) of a spoken utterance provided by a user, and can cause the third-party agent(s) to determine third-party interpretation(s) of the spoken utterance provided by the user. In some implementations, the automated assistant can select a given interpretation, from the first-party interpretation(s) and the third-party interpretation(s), of the spoken utterance, and can cause a given third-party agent to satisfy the spoken utterance based on the given interpretation.

Abstract: The present disclosure is directed to a multi-functional composition including activated carbon that is useful for injection or other application into soil or groundwater for removal (e.g., via adsorption) of inorganic contaminants in a contaminated plume. The composition of activated carbon may include physical and chemical properties to enhance the mechanism of contaminant physisorption and chemisorption including enhanced electrostatic interactions with contaminants. The multi-functional composition may further include one or more second materials (e.g., contaminant-selective agents) which comprise one or more compounds that improve the activated carbon's ability to sequester or otherwise immobilize inorganic contaminants in a subsurface environment.

Abstract: In various examples, live perception from sensors of a vehicle may be leveraged to detect and classify intersections in an environment of a vehicle in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute various outputs—such as bounding box coordinates for intersections, intersection coverage maps corresponding to the bounding boxes, intersection attributes, distances to intersections, and/or distance coverage maps associated with the intersections. The outputs may be decoded and/or post-processed to determine final locations of, distances to, and/or attributes of the detected intersections.

Abstract: Techniques for using CPUID for showing features that are deprecated are described. In some examples, CPUID is to include at least one field for an opcode, one or more fields to identify a source operand which is to store a LSL selector value, and one or more fields to identify a destination register operand, wherein the opcode is to indicate that execution circuitry is to, when the single instruction has been enabled by a setting of a bit in a control register, write a LSL value stored in the control register to the destination operand when the LSL selector value of the first source register operand matches a LSL selector value stored in the control register, and set a flag in a flags register.

Abstract: Disclosed is a method of receiving and processing content-sending inputs received by a head-worn device system including one or more display devices, one or more cameras and a vertically-arranged touchpad. The method includes displaying a content item on the one or more display devices, receiving a touch input on the touchpad corresponding to a send instruction, displaying a carousel of potential recipients, receiving a horizontal touch input on the touchpad, scrolling the carousel left or right on the one or more display devices in response to the horizontal touch input, receiving a tap touch input on the touchpad to select a particular recipient, receiving a further touch input, and in response to the further touch input, transmitting the content item to the selected recipient.

Abstract: A system, method, and computer-readable medium for an information technology (IT) ecosystem management and monitoring operation. The IT ecosystem management and monitoring operation includes: providing a sustainability application to an information handling system, the information handling system comprising a modular component architecture; obtaining sustainability information regarding a component of the information handling system via the sustainability application; providing an IT ecosystem monitoring and management console, the IT ecosystem monitoring and management console comprising an IT ecosystem sustainability system, the IT ecosystem sustainability system comprising a sustainability component; and, communicating between the sustainability component and the sustainability application to perform an IT environment sustainability operation, the communicating providing the sustainability component with the sustainability information regarding the component of the information handling system.

Abstract: A system, method, and computer-readable medium for an information technology (IT) ecosystem management and monitoring operation. The IT ecosystem management and monitoring operation includes: executing a sustainability application on a hardware processor of an information handling system; providing an IT ecosystem monitoring and management console, the IT ecosystem monitoring and management console comprising an IT ecosystem sustainability system, the IT ecosystem sustainability system comprising a sustainability component; and, communicating between the sustainability component and the sustainability application to perform an IT environment sustainability operation.

Abstract: In an example implementation, a method includes receiving, at a computing device, borrower information and requested financing plan information. Likewise, a method includes outputting at least a portion of the received information to a second computing device and, after receiving an indication of a decision denying the requested financing plan, outputting at least a portion of the received information to a computing device associated with a lender and confirming, to a computing device associated with a borrower or a merchant that the information has been sent to the lender.

Abstract: In various examples, live perception from sensors of a vehicle may be leveraged to detect and classify intersection contention areas in an environment of a vehicle in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute outputs—such as signed distance functions—that may correspond to locations of boundaries delineating intersection contention areas. The signed distance functions may be decoded and/or post-processed to determine instance segmentation masks representing locations and classifications of intersection areas or regions. The locations of the intersections areas or regions may be generated in image-space and converted to world-space coordinates to aid an autonomous or semi-autonomous vehicle in navigating intersections according to rules of the road, traffic priority considerations, and/or the like.

Abstract: Disclosed is a method of reducing the lambda aging of a polyurethane foam, a polyisocyanurate foam or a mixture thereof comprising producing the foam from a foamable composition comprising an isocyanate and a polyol premix composition comprising a polyol or mixture of polyols, a blowing agent selected from the group consisting of 1,3,3,3-tetrafluoropropene (1234ze), 1,1,1,4,4,4-hexafluorobut-2-ene (1336mzzm) and/or 1-chloro-3,3,3-trifluoropropene (1233zd) and a flame retardant wherein the flame retardant comprises 25 phpp or less of a phosphate based flame retardant.

Abstract: In various examples, systems and methods are disclosed that preserve rich spatial information from an input resolution of a machine learning model to regress on lines in an input image. The machine learning model may be trained to predict, in deployment, distances for each pixel of the input image at an input resolution to a line pixel determined to correspond to a line in the input image. The machine learning model may further be trained to predict angles and label classes of the line. An embedding algorithm may be used to train the machine learning model to predict clusters of line pixels that each correspond to a respective line in the input image. In deployment, the predictions of the machine learning model may be used as an aid for understanding the surrounding environment—e.g., for updating a world model—in a variety of autonomous machine applications.

Abstract: The present disclosure provides for a compound according to formula (I) or a pharmaceutically acceptable salt thereof as CaV1.22 activators for the treatment of schizophrenia, bipolar disorder, major depressive disorder, substance use disorder, ADHD, Phelan-McDermid Syndrome, autism spectrum disorder, multiple sclerosis, frontotemporal dementia, Alzheimer's disease, Brugada Syndrome, Short QT syndrome, or early repolarization syndrome.

Abstract: Embodiments of the present inventive concept provides a water treating device for treating a circulating water including a storage tank configured to store the circulating water, a first filter configured to filter the circulating water discharged by the storage tank, a phosphorus removing device configured to remove phosphorus contained in the circulating water, and an ultraviolet ray irradiation device configured to irradiate an ultraviolet ray to the circulating water.

Abstract: A method for enhancing situational awareness in a transportation vehicle includes strategically locating sensory communication devices on the vehicle. The sensory communication devices are operatively connecting to a user network. At least one of the sensory communication devices is activated upon a triggering event. A vehicle data signal including vehicle information is transmitted from the activated sensory communication device to the user network. Using a computing device, the user network is accessed to receive the vehicle information transmitted by the activated sensory communication device.