Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for processing a perspective view range image generated from sensor measurements of an environment. The perspective view range image includes a plurality of pixels arranged in a two-dimensional grid and including, for each pixel, (i) features of one or more sensor measurements at a location in the environment corresponding to the pixel and (ii) geometry information comprising range features characterizing a range of the location in the environment corresponding to the pixel relative to the one or more sensors. The system processes the perspective view range image using a first neural network to generate an output feature representation. The first neural network comprises a first perspective point-set aggregation layer comprising a geometry-dependent kernel.

Abstract: A system is provided for dynamically modifying a timeline recipe for targeted content delivery. The system includes a content consumption profiler configured to receive viewer profile data relating to a plurality of content consumption devices and to dynamically update a viewer profile database that stores classification parameters for each of the plurality of content consumption devices based on the viewer profile data. The system also includes a user interface generator configured to generate a user interface for dynamically modifying at least one timeline recipe for a targeted content delivery to at least one of the plurality of content consumption devices. Moreover, the system includes a content rendered and delivery manager configured to generate a media content production to be displayed on the respective content consumption devices of targeted grouping based on receiving input via the generated user interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.

Abstract: Methods, systems, and apparatus for predicting future trajectories of agents in an environment. In one aspect, a system comprises one or more computers configured to receive a data set comprising multiple training examples. The training examples include scene data comprising respective agent data for multiple agents and a ground truth trajectory for a target agent that represents ground truth motion of the target agent after a corresponding time point. The one or more computers obtain data identifying one or more of the multiple agents as non-causal agents for each training example. A non-causal agent is an agent whose states do not cause the ground truth trajectory for the target agent to change. The one or more computers generate a respective modified training example from each of the multiple training examples.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.

Abstract: A method for performing one or more tasks, wherein each of the one or more tasks includes predicting behavior of one or more agents in an environment, the method comprising: obtaining a three-dimensional (3D) input tensor representing behaviors of the one or more agents in the environment across a plurality of time steps; generating an encoded representation of the 3D input tensor by processing the 3D input tensor using an encoder neural network, wherein 3D input tensor comprises a plurality of observed cells and a plurality of masked cells; and processing the encoded representation of the 3D input tensor using a decoder neural network to generate a 4D output tensor.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing point cloud data representing a sensor measurement of a scene captured by one or more sensors to generate an object detection output that identifies locations of one or more objects in the scene. When deployed within an on-board system of a vehicle, the object detection output that is generated can be used to make autonomous driving decisions for the vehicle with enhanced accuracy.

Abstract: A computer implemented method is disclosed relating to the design of electronic circuits and systems. In some examples, a graphical user interface is utilized to receive first information relating to a requested electronic circuit. The first information includes a selected type of electronic circuit and one or more operating criteria relating to requested fundamental functionality of the selected type of electronic circuit. Second information is also received, relating to requested secondary attributes of a hypothetical candidate electronic circuit that satisfies the first information. In response, a set of candidate circuit architectures are displayed satisfying the first information, as well as a visualization of how each of the candidate circuit architectures relates to the second information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network to perform 3D object detection. One of the methods includes training a student neural network to perform 3D object detection using pseudo-labels generated by a teacher neural network.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for processing a perspective view range image generated from sensor measurements of an environment. The perspective view range image includes a plurality of pixels arranged in a two-dimensional grid and including, for each pixel, (i) features of one or more sensor measurements at a location in the environment corresponding to the pixel and (ii) geometry information comprising range features characterizing a range of the location in the environment corresponding to the pixel relative to the one or more sensors. The system processes the perspective view range image using a first neural network to generate an output feature representation. The first neural network comprises a first perspective point-set aggregation layer comprising a geometry-dependent kernel.

Abstract: A computer implemented method is disclosed relating to the design of electronic circuits and systems. In some examples, a graphical user interface is utilized to receive first information relating to a requested electronic circuit. The first information includes a selected type of electronic circuit and one or more operating criteria relating to requested fundamental functionality of the selected type of electronic circuit. Second information is also received, relating to requested secondary attributes of a hypothetical candidate electronic circuit that satisfies the first information. In response, a set of candidate circuit architectures are displayed satisfying the first information, as well as a visualization of how each of the candidate circuit architectures relates to the second information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.

Abstract: A computer implemented method is disclosed relating to the design of electronic circuits and systems. In some examples, a graphical user interface is utilized to receive first information relating to a requested electronic circuit. The first information includes a selected type of electronic circuit and one or more operating criteria relating to requested fundamental functionality of the selected type of electronic circuit. Second information is also received, relating to requested secondary attributes of a hypothetical candidate electronic circuit that satisfies the first information. In response, a set of candidate circuit architectures are displayed satisfying the first information, as well as a visualization of how each of the candidate circuit architectures relates to the second information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing point cloud data representing a sensor measurement of a scene captured by one or more sensors to generate an object detection output that identifies locations of one or more objects in the scene. When deployed within an on-board system of a vehicle, the object detection output that is generated can be used to make autonomous driving decisions for the vehicle with enhanced accuracy.

Abstract: Apparatus and methods utilizing induction-heat energy for heating reactions associated with chemical synthesis, such as peptide synthesis reactions involving activation, deprotection, coupling, and cleavage. Thorough agitation of the contents of reaction vessels during heating, real-time monitoring and adjustment of temperature and/or reaction duration, independent control of different reaction vessels, and scalability are also described.

Abstract: Apparatus and methods utilizing induction-heat energy for heating reactions associated with chemical synthesis, such as peptide synthesis reactions involving activation, deprotection, coupling, and cleavage. Thorough agitation of the contents of reaction vessels during heating, real-time monitoring and adjustment of temperature and/or reaction duration, independent control of different reaction vessels, and scalability are also described.

Abstract: Embodiments present engagement opportunities outside an execution context of applications encouraging the engagement. A computing device accesses challenge offers each identifying a challenge for completion by a user within the execution context of an application. Without causing the application to be executed, the challenge offers are presented to the user. After receiving a request from the user to participate in one of the challenges, the computing device directs execution of the corresponding application to present the challenge. In some embodiments, challenge participation statistics from a plurality of users are aggregated and provided to potential challenge sponsors.

Abstract: A system and methods for generating a profile concerning the prescription therapy practices of physicians in a therapeutic area of interest. A plurality of historical de-identified patient prescription records are analyzed, and the records are categorized based on changes in the dosage or the prescription product between prescriptions for a particular de-identified patient. The prescriptions may be categorized based on the duration between the due date of a prescription and the date the prescription was filled. This information may be summarized for each physician for each product in the therapy area of interest.

Abstract: A method of designing an integrated circuit for an application having standards having a plurality of primitives, each of the primitives having a corresponding response. The method includes generating a macros description of each of the primitives and the response corresponding to each of the primitives, wherein the macros description includes information relating to a number of first fields for each of the primitives and a number of second fields for the response corresponding to each of the primitives. The method further includes receiving a specification of the behavior of the integrated circuit in response to the primitives that has one or more values specified for each of the second fields, and generating a hardware description language representation for the integrated circuit based on the macros description and the specification. Also, a software tool which implements the method.