Abstract: A method of manufacturing a chip assembly comprises joining an in-process unit to a printed circuit board; reflowing a bonding material disposed between and electrically connecting the in-process unit with the printed circuit board, the bonding material having a first reflow temperature; and then joining a heat distribution device to the plurality of semiconductor chips using a thermal interface material (“TIM”) having a second reflow temperature that is lower than the first reflow temperature. The in-process unit further comprises a substrate having an active surface, a passive surface, and contacts exposed at the active surface; an interposer electrically connected to the substrate; a plurality of semiconductor chips overlying the substrate and electrically connected to the substrate through the interposer, and a stiffener overlying the substrate and having an aperture extending therethrough, the plurality of semiconductor chips being positioned within the aperture.

Abstract: A vehicle capable of autonomous driving includes a lane detection system. The lane detection system is trained to predict lane lines using training images. The training images are automatically processed by a training module of the lane detection system in order to create ground truth data. The ground truth data is used to train the lane detection system to predict lane lines that are occluded in real-time images of roadways. The lane detection system predicts lane lines of a roadway in a real-time image even though the lane lines maybe indiscernible due to objects on the roadway or due to the position of the lane lines being in the horizon.

Abstract: A vehicle capable of autonomous driving includes a lane detection system. The lane detection system is trained to predict lane lines using training images. The training images are automatically processed by a training module of the lane detection system in order to create ground truth data. The ground truth data is used to train the lane detection system to predict lane lines that are occluded in real-time images of roadways. The lane detection system predicts lane lines of a roadway in a real-time image even though the lane lines maybe indiscernible due to objects on the roadway or due to the position of the lane lines being in the horizon.

Abstract: A modeling system trains computer models for an autonomous control system using computer simulated models of objects. The objects may be vehicles, and the computer simulated models may be virtual models of vehicles simulated by computer software. Since the vehicle models are computer simulated, various characteristics of the vehicle can be easily obtained by the modeling system. The various types of data may include geometric information of the vehicle, views of the vehicle from different perspectives, and the like. The modeling system can easily generate and label a large amount of training data using the characteristics of the computer simulated vehicles. The modeling system can use the training data to train computer models for the autonomous control system.

Abstract: A vehicle capable of autonomous driving includes a lane detection system. The lane detection system is trained to predict lane lines using training images. The training images are automatically processed by a training module of the lane detection system in order to create ground truth data. The ground truth data is used to train the lane detection system to predict lane lines that are occluded in real-time images of roadways. The lane detection system predicts lane lines of a roadway in a real-time image even though the lane lines maybe indiscernible due to objects on the roadway or due to the position of the lane lines being in the horizon.

Abstract: A modeling system trains computer models for an autonomous control system using computer simulated models of objects. The objects may be vehicles, and the computer simulated models may be virtual models of vehicles simulated by computer software. Since the vehicle models are computer simulated, various characteristics of the vehicle can be easily obtained by the modeling system. The various types of data may include geometric information of the vehicle, views of the vehicle from different perspectives, and the like. The modeling system can easily generate and label a large amount of training data using the characteristics of the computer simulated vehicles. The modeling system can use the training data to train computer models for the autonomous control system.

Abstract: A modeling system trains computer models for an autonomous control system using computer simulated models of objects. The objects may be vehicles, and the computer simulated models may be virtual models of vehicles simulated by computer software. Since the vehicle models are computer simulated, various characteristics of the vehicle can be easily obtained by the modeling system. The various types of data may include geometric information of the vehicle, views of the vehicle from different perspectives, and the like. The modeling system can easily generate and label a large amount of training data using the characteristics of the computer simulated vehicles. The modeling system can use the training data to train computer models for the autonomous control system.

Abstract: A vehicle capable of autonomous driving includes a lane detection system. The lane detection system is trained to predict lane lines using training images. The training images are automatically processed by a training module of the lane detection system in order to create ground truth data. The ground truth data is used to train the lane detection system to predict lane lines that are occluded in real-time images of roadways. The lane detection system predicts lane lines of a roadway in a real-time image even though the lane lines maybe indiscernible due to objects on the roadway or due to the position of the lane lines being in the horizon.

Abstract: The disclosure relates to the use of neurokinin-1 (NK-1) antagonists in treating pruritus in a subject, wherein i) the duration of the pruritus is about one year or longer, ii) the subject is about 40 years of age or older: iii) the subject has no inflammatory skin disease; and/or iv) the pruritus is idiopathic.

Abstract: A vehicle capable of autonomous driving includes a lane detection system. The lane detection system is trained to predict lane lines using training images. The training images are automatically processed by a training module of the lane detection system in order to create ground truth data. The ground truth data is used to train the lane detection system to predict lane lines that are occluded in real-time images of roadways. The lane detection system predicts lane lines of a roadway in a real-time image even though the lane lines maybe indiscernible due to objects on the roadway or due to the position of the lane lines being in the horizon.

Abstract: A modeling system trains computer models for an autonomous control system using computer simulated models of objects. The objects may be vehicles, and the computer simulated models may be virtual models of vehicles simulated by computer software. Since the vehicle models are computer simulated, various characteristics of the vehicle can be easily obtained by the modeling system. The various types of data may include geometric information of the vehicle, views of the vehicle from different perspectives, and the like. The modeling system can easily generate and label a large amount of training data using the characteristics of the computer simulated vehicles. The modeling system can use the training data to train computer models for the autonomous control system.

Abstract: A vehicle capable of autonomous driving includes a lane detection system. The lane detection system is trained to predict lane lines using training images. The training images are automatically processed by a training module of the lane detection system in order to create ground truth data. The ground truth data is used to train the lane detection system to predict lane lines that are occluded in real-time images of roadways. The lane detection system predicts lane lines of a roadway in a real-time image even though the lane lines maybe indiscernible due to objects on the roadway or due to the position of the lane lines being in the horizon.

Abstract: The disclosure relates to the use of neurokinin-1 (NK-1) antagonists, such as serlopitant, in treating acute or chronic pruritus associated with a variety of medical conditions, including dermatitis/eczema, psoriasis, prurigo, urticaria, cutaneous T-cell lymphoma, epidermolysis bullosa, bums and hepato-biliary diseases, or/and treating the medical conditions themselves. One or more additional antipruritic or therapeutic agents can optionally be used in combination with an NK-1 antagonist to treat acute or chronic pruritus associated with a medical condition or/and the medical condition itself.

Abstract: The disclosure relates to the use of neurokinin-1 (NK-1) antagonists, such as serlopitant, MK-0303 or MK-8478, in alleviating or suppressing cough (including acute, subacute and chronic cough) and urge to cough. The cough can have an unknown cause (idiopathic cough) or can be associated with any type of medical condition, such as a respiratory disorder. The NK-1 antagonist can be delivered by oral inhalation for more rapid peripheral and central antitussive action. Another antitussive agent in addition to the NK-1 antagonist can optionally be administered for the treatment of the cough or urge to cough, or the cough-associated medical condition.

Abstract: Data compression method, system, and program code for compressing antenna pattern data generated by measuring the complex voltage derived from the interaction of a RF waveform and a sensing element are disclosed. The antenna pattern data are modeled with a plurality of infinitesimal antenna elements, each element defined in terms of a distinct position, orientation, and polarization. An analytical expression for the interaction between the plurality of infinitesimal antenna elements and an impinging waveform yields a plurality of expressions for a theoretical voltage. The plurality of infinitesimal antenna elements constitute a mathematical basis set from which a weighted linear combination is constructed. The value of the weights are determined by equating the complex voltage representing the antenna pattern data with the theoretical voltage representing the plurality of weighted infinitesimal antenna elements.

Abstract: An apparatus and method for determining the angles-of-arrival and the polarization states of incoming RF signals of unknown polarization using five or more RF sensing antenna elements of differing yet known orientations of polarization.

Abstract: A method for resolving the angular ambiguity inherent in the differential phase measurements of a source of electromagnetic signal by an interferometric system of antenna elements. Three or more independent differential phase measurements are acquired between predetermined pairs of antenna elements. The ambiguous solutions to each of the differential phase measurements are represented as a group of equally-spaced, parallel lines. The points of intersection between two groups of lines represent ambiguous solutions to the system of equations from which the true angles-of-arrival may be determined. The set of ambiguous solutions is evaluated using the remaining differential phase measurements. The most probable solution to the system of equations is determined by minimizing cost functions with the following embodiments: tightest cluster of intersecting lines; maximum likelihood estimation; and voltage reconstruction comparisons with measured voltages.