Abstract: Disclosed are systems, methods, and apparatus of an automated and self-service kiosk that allows customers to select inventory items available from the kiosk and walk or move away with selected inventory item(s) without having to process payment, identify the inventory item(s), or provide any other form of checkout. After a customer has picked one or more items and departed the kiosk, the picked items are determined and the customer charged for the items. For example, one or more of detected weight changes measured at the kiosk and/or images generated at the kiosk may be used to identify items picked by the customer from the kiosk.

Abstract: A computer-implemented method provides security services to an enterprise. The method computes, for a plurality of enterprise users, a plurality of user health scores based on respective protection statuses for a plurality of enterprise assets owned by respective users; computes, for the enterprise, an overall enterprise security status score based on the plurality of user health scores; graphically displays to an enterprise administrator the overall enterprise security status score; and presents to the enterprise administrator a plurality of action recommendations to improve the overall enterprise security status score.

Abstract: Methods and apparatuses for detecting timestamp discontinuities and video resolution discontinuities within a packet stream and marking locations of the detected discontinuities within the packet stream are described. Prior to transmission of the packet stream, an electronic device may perform timestamp discontinuity detection by acquiring a sequence of packets to be transmitted, identifying a first timestamp associated with an earliest packet within the sequence of packets, identifying a second timestamp associated with a latest packet within the sequence of packets, determining a timestamp time difference between the first timestamp and the second timestamp, determining a maximum chunk time difference based on a data rate at which the sequence of packets were encoded and a data size of the encoded packets, and detecting that a timestamp discontinuity exists within the sequence of packets if the timestamp time difference is greater than the maximum chunk time difference.

Abstract: Disclosed are systems, methods, and apparatus of an automated and self-service kiosk that allows customers to select inventory items available from the kiosk and walk or move away with selected inventory item(s) without having to process payment, identify the inventory item(s), or provide any other form of checkout. After a customer has picked one or more items and departed the kiosk, the picked items are determined and the customer charged for the items. For example, one or more of detected weight changes measured at the kiosk and/or images generated at the kiosk may be used to identify items picked by the customer from the kiosk.

Abstract: There is disclosed in one example a network gateway device, including: a hardware platform including a processor and a memory; a network interface, including network interface hardware; and instructions encoded within the memory to instruct the processor to: receive from an endpoint device, via the network interface, a signed security posture data structure, the signed security posture data structure including information about a security posture of the endpoint device; cryptographically verify the signed security posture data structure; and according to the signed security posture data structure, assign a network security policy to the endpoint device.

Abstract: Systems and methods for processing inputs using attention neural networks with tree attention layers. Each tree attention layer includes one or more tree attention sub-layers that are each configured to: process query vectors using a decision tree model for the tree attention sub-layer to determine a respective tree path for each query vector; process key vectors using the decision tree model to determine a respective tree path for each key vector; and generate an attended input sequence comprising a respective attended input at each of the plurality of input positions, comprising: generating, for each particular input position, the respective attended input at the particular input position based on (i) the tree path for the query vector at the particular input position (ii) the respective tree paths for the key vectors at each of the plurality of input positions and (iii) the value vectors at a subset of the input positions.

Abstract: A television receiver receives media data from a media content provider. The television receiver is also connected to a wireless network. When the television receiver receives a request via the wireless network to provide media content to an electronic device over the wireless network, the television receiver adjusts the size of a socket buffer associated with a TCP/IP socket and a transmission ring buffer associated with a wireless driver.

Abstract: Embodiments of the disclosure provide various nanogap sensor designs (e.g., horizontal nanogap sensors, vertical nanogap sensors, arrays of multiple nanogap sensors, various arrangements for making electrical connections to the electrodes of nanogap sensors, etc.), as well as various methods which may be used to fabricate at least some of the proposed sensors. The nanogap sensors proposed herein may operate as molecular sensors to help identify chemical species through electrical measurements using at least a pair of electrodes separated by a nanogap.

Abstract: Embodiments of the disclosure provide various nanogap sensor designs (e.g., horizontal nanogap sensors, vertical nanogap sensors, arrays of multiple nanogap sensors, various arrangements for making electrical connections to the electrodes of nanogap sensors, etc.), as well as various methods which may be used to fabricate at least some of the proposed sensors. The nanogap sensors proposed herein may operate as molecular sensors to help identify chemical species through electrical measurements using at least a pair of electrodes separated by a nanogap.

Abstract: Various systems, methods and devices are presented for performing media encryption. A media stream comprising audio packets and video packets can be received. A chunk of the media stream can be sorted to create a first group of a plurality of audio packets with an I-frame header and a second group of a plurality of P-frames and an I-frame payload. The first group can be encrypted while the second group is not encrypted. A fully-protected output media stream that includes the encrypted first group and the second group can then be streamed to a remote device via a network for output.

Abstract: Methods and apparatuses for detecting timestamp discontinuities and video resolution discontinuities within a packet stream and marking locations of the detected discontinuities within the packet stream are described. Prior to transmission of the packet stream, an electronic device may perform timestamp discontinuity detection by acquiring a sequence of packets to be transmitted, identifying a first timestamp associated with an earliest packet within the sequence of packets, identifying a second timestamp associated with a latest packet within the sequence of packets, determining a timestamp time difference between the first timestamp and the second timestamp, determining a maximum chunk time difference based on a data rate at which the sequence of packets were encoded and a data size of the encoded packets, and detecting that a timestamp discontinuity exists within the sequence of packets if the timestamp time difference is greater than the maximum chunk time difference.

Abstract: A content generation platform is generally described herein. More specifically, interactive image generation and techniques and features thereof are disclosed herein. An arbitrary input image captured in an unknown environment is processed using one or more machine learning based networks to generate an interactive reconstruction or floorplan of the input image.

Abstract: A content generation platform is generally described herein. More specifically, interactive image generation and techniques and features thereof are disclosed herein. An arbitrary input image captured in an unknown environment is processed using one or more machine learning based networks to generate an interactive reconstruction or floorplan of the input image.

Abstract: A content generation platform is generally described herein. More specifically, interactive image generation and techniques and features thereof are disclosed herein. One or more sets of images of a scene are captured in an imaging studio. The captured one or more sets of images of the scene are processed using one or more machine learning based networks to generate an interactive image of the scene comprising a plurality of interactive features. One or more of the plurality of interactive features of the generated interactive image may be modified or edited according to user preferences.

Abstract: A content generation platform is generally described herein. More specifically, interactive image generation and techniques and features thereof are disclosed herein. One or more sets of images of a scene are captured in an imaging studio. The captured one or more sets of images of the scene are processed using one or more machine learning based networks to generate an interactive image of the scene comprising a plurality of interactive features. One or more of the plurality of interactive features of the generated interactive image may be modified or edited according to user preferences.

Abstract: A content generation platform is generally described herein. More specifically, interactive image generation and techniques and features thereof are disclosed herein. One or more sets of images of a scene are captured in an imaging studio. The captured one or more sets of images of the scene are processed using one or more machine learning based networks to generate an interactive image of the scene comprising a plurality of interactive features. One or more of the plurality of interactive features of the generated interactive image may be modified or edited according to user preferences.

Abstract: Provided are systems and methods that improve the computational efficiency of Transformers or other attention-based neural networks or machine learning models by re-using a number of attention scores between layers and/or heads of the model. To reduce the computational cost of self-attention-based models while achieving comparable or even superior results, example aspects of the present disclosure propose a novel architecture that reuses attention scores computed in one layer in one or multiple subsequent layers.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for accounting for long-tail training data.

Abstract: The present disclosure relates to a microfabricated thermal platform. The platform is formed over a substrate, which may for example be a silicon wafer, and which may form part of the platform. The substrate is coated in a thermally-insulating material, which may be an organic polymer such, as polyimide or SU8. The thermally-insulating material may have a predetermined thermal conductivity, which is dependent on thickness, geometry and processing. The surface of the thermally-insulating material may include an arrangement of thermal sites, with each site having a reaction plate (or thermal plate) over which chemical reactions may occur. A heating element may be positioned beneath each reaction plate. The thermal platform may have a plurality of such thermal sites arranged over the upper surface of the thermally-insulating material. However, it will be appreciated that in practice, there could be a single thermal site.

Abstract: This application relates generally to automated systems and methods for identifier propagation across uniform resource locator requests. In an embodiment, a system includes at least one processor operatively coupled with a datastore, the at least one processor configured to receive, from a user device, a current rule identifier appended to a request component uniform resource locator. The at least one processor is further configured to retrieve, from the datastore, a rule definition associated with the current rule identifier, wherein the rule definition comprises a rule condition and a rule consequence. The at least one processor is further configured to execute the rule consequence in response to determining that the rule condition is satisfied.