Abstract: A method for risk scoring a blockchain transaction includes: storing blockchain data associated with a blockchain, the data including a plurality of blocks, each block including a block header and transaction values, each transaction value including a sending address, recipient address, and transaction amount; receiving a new transaction value related to a proposed blockchain transaction and a node identifier associated with a node included in a blockchain network associated with the blockchain, the new transaction value including a user address, transacting address, and blockchain amount; identifying transaction values in the blockchain where the sending address or recipient address is associated with a transacting cryptographic key pair also associated with the transacting address; determining a risk score for the proposed blockchain transaction based on at least the data included in each of the identified transaction values and the new transaction value; and transmitting the determined risk score.

Abstract: Embodiments are in the field of mobile applications and wireless processing, especially of commercial transactions, and more specifically for enhancing the user experience in restaurants even while enhancing the service delivery model efficiency of restaurants. Embodiments include a computer accessible medium for processing commercial transactions, to perform operations that comprise identifying wireless devices and determining their respective locations in a vendor service area, sending an interactive order menu to the identified wireless devices, receiving and displaying order data from the wireless devices, processing the received order data, and accepting a payment for a completed order.

Abstract: Techniques are disclosed that pertain to facilitating the execution of machine learning (ML) models. A computer system may implement an ML model layer that permits ML models built using any of a plurality of different ML model frameworks to be submitted without a submitting entity having to define execution logic for a submitted ML model. The computer system may receive, via the ML model layer, configuration metadata for a particular ML model. The computer system may then receive a prediction request from a user to produce a prediction based on the particular ML model. The computer system may produce a prediction based on the particular ML model. As a part of producing that prediction, the computer system may select, in accordance with the received configuration metadata, one of a plurality of types of hardware resources on which to load the particular ML model.

Abstract: A method and system for using steganographically-encoded time information as a basis to control when a client carries out a content-related action. The client processes for presentation one or more linear media streams, each defining a respective time sequence of frames of media content, and at least one of the streams being steganographically encoded with at least one watermark at a respective time-point within the linear media stream, the watermark encoding a timestamp of the respective time-point within the linear media stream according to a server clock. The client extracts the timestamp from the watermark and computes a time offset based on a difference between the extracted timestamp and a current time according to a client clock. And the client uses the computed time offset as a basis to determine when to carry out a content-related action in a given one of the one or more linear media streams.

Abstract: Techniques are described herein for concurrent voice assistants. A method includes: providing first and second automated assistants with access to one or more microphones; receiving, from the first automated assistant, an indication that the first automated assistant has initiated a first session, and in response: continuing providing, to the first automated assistant, access to the one or more microphones; discontinuing providing, to the second automated assistant, access to the one or more microphones; and preventing the second automated assistant from accessing one or more portions of an output audio data stream; receiving, from the first automated assistant, an indication that the first session has ended, and in response: continuing providing, to the first automated assistant, access to the one or more microphones; resuming providing, to the second automated assistant, access to the one or more microphones; and resuming providing, to the second automated assistant, the output audio data stream.

Abstract: Current inspection processes employed for pipeline networks data acquisition aided with manually locating and recording defects/observations, thus leading labor intensive, prone to error and a time-consuming task thereby resulting in process inefficiencies. Embodiments of the present disclosure provide systems and methods for that leverage artificial intelligence/machine learning models and image processing techniques to automate log and data processing, reports and insights generation thereby reduce dependency on manual analysis, improve annual productivity of survey meterage and bring in process and cost efficiencies into overall asset health management for utilities, thereby enhancing accuracy in defect identification, analysis, classification thereof.

Abstract: A method for determining conditions in a wellbore extending through a subterranean formation includes deploying a plurality of sensor pods in the wellbore, wherein each sensor pod includes a housing and a plurality of sensors disposed in the housing. The method also includes measuring and recording a plurality of pressures and a plurality of temperatures with plurality of sensors of each sensor pod, dissolving the housings of the pods to release the plurality of sensors from the pods after measuring and recording the plurality of pressures and the plurality of temperatures, and lifting the sensors to the surface.

Abstract: Blockchain systems operate over a network of computing devices. Proof-of-space blockchain consensus systems utilize data (called plots) stored in storage devices across the computing devices within the network. These storage devices are utilized to generate and store proof-of-space consensus data. This data is then accessed at a later time to respond to challenges issued across the blockchain network. The owner of a plot may wish to sell a plot to another miner. If the seller is a bad-faith actor, they may retain copies of the secret key(s) and use them to continue mining the plot along with the buyer. To prevent these attacks, it may be desirable to submit a challenge response block where the proof-of-space is not visible as part of the challenge response. This may be done by replacing the proof-of-space with a proof-of-knowledge.

Abstract: Some embodiments include a camera voice coil motor (VCM) actuator that includes an additive coil structure for shifting a lens along one or multiple axes. The additive coil structure may include a base portion configured to couple with a lens carrier and at least partially surround a perimeter of the lens carrier. In various examples, the additive coil structure may include folded portions that individually include a respective coil that is located proximate a respective magnet. According to various embodiments, the additive coil structure may be formed using an additive process.

Abstract: Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.

Abstract: An example includes a system, having: an illumination source configured to produce illumination light; and a spatial light modulator (SLM) optically coupled to the illumination source, the SLM comprising an array of picture elements. The SLM is configured to: receive the illumination light; direct, by a first portion of the picture elements, on state light in a first direction; and direct, by a second portion of the picture elements, off state light in a second direction. The example system includes imaging optics optically coupled to the SLM, the imaging optics configured to receive the on state light from the SLM and to project an image as an image portion of a beam; and non-imaging optics optically coupled to the SLM, the non-imaging optics configured to receive the off state light from the SLM and to project the off state light as part of the beam.

Abstract: Aspects of the disclosure relate to dynamic model configuration and execution. A computing platform may receive first model data comprising first model execution configuration data and first model output configuration data. The computing platform may generate a first model based on the first model execution configuration data. The computing platform may distribute, to a plurality of computing platforms, the first model, the first model execution configuration data, and the first model output configuration data. The computing platform may receive a second request to execute one or more models from a third computing platform. The computing platform may receive, from the third computing platform, first model execution data. The computing platform may execute the first model based on the first model execution data and the first model execution configuration data to generate a first model output score.

Abstract: Methods, apparatus, systems and articles of manufacture for communicating encrypted data via a virtual private network are disclosed. An example computer system disclosed herein includes a memory including instructions that, when executed, cause one or more processors to establish a first tunnel and a second tunnel between a VPN client and a VPN server. The instructions further cause the one or more processors to access a request message to be sent via the VPN and determine, in response to a payload being formatted using a first protocol, whether a packet associated with the request message includes an encrypted server name indication (SNI). The instructions further cause the one or more processors to, in response to the packet including the encrypted SNI, encrypt the header of the request message to form an encrypted header, create an encrypted message including the encrypted header and the payload of the request message, and transmit the encrypted message through the first tunnel.

Abstract: Photonic interposers that enable low-power, high-bandwidth inter-chip (e.g., board-level and/or rack-level) as well as intra-chip communication are described. Described herein are techniques, architectures and processes that improve upon the performance of conventional computers. Some embodiments provide photonic interposers that use photonic tiles, where each tile includes programmable photonic circuits that can be programmed based on the needs of a particular computer architecture. Some tiles are instantiations of a common template tile that are stitched together in a 1D or a 2D arrangement. Some embodiments described herein provide a programmable physical network designed to connect pairs of tiles together with photonic links.

Abstract: Photonic interposers that enable low-power, high-bandwidth inter-chip (e.g., board-level and/or rack-level) as well as intra-chip communication are described. Described herein are techniques, architectures and processes that improve upon the performance of conventional computers. Some embodiments provide photonic interposers that use photonic tiles, where each tile includes programmable photonic circuits that can be programmed based on the needs of a particular computer architecture. Some tiles are instantiations of a common template tile that are stitched together in a 1D or a 2D arrangement. Some embodiments described herein provide a programmable physical network designed to connect pairs of tiles together with photonic links.

Abstract: A computer-implemented method includes operating a controllable physical device to perform a task. The method also includes miming forward simulations of the task by a physics engine based on one or more physics parameters. The physics engine communicates with a parameter data layer where each of the one or more physics parameters is modeled with a probability distribution. For each forward simulation run, a tuple of parameter values is sampled from the probability distribution of the one or more physics parameters and fed to the physics engine. The method includes obtaining an observation pertaining to the task from the physical environment and a corresponding forward simulation outcome associated with each sampled tuple of parameter values. The method then includes updating the probability distribution of the one or more physics parameters in the parameter data layer based on the observation from the physical environment and the corresponding forward simulation outcomes.

Abstract: A first forwarding VM may execute in a first availability zone and have a first IP address. Similarly, a second forwarding VM may execute in a second availability zone and have a second IP address. The first and second IP addresses may be recorded with a cloud DNS web service of a cloud provider such that both receive requests from applications directed to a particular DNS name acting as a single endpoint. A service cluster may include a master VM node and a standby VM node. An IPtable in each forwarding VM may forward a request having a port value to a cluster port value associated with the master VM node. Upon a failure of the master VM node, the current standby VM node may be promoted to execute in master mode and the IPtables may be updated to now forward requests having the port value to a cluster port value associated with the newly promoted master VM node (which was previously the standby VM node).

Abstract: Certain aspects of the present disclosure provide techniques for recommending trip purposes to users of an application. Embodiments include receiving labeled travel data from the application running on a remote device including a plurality of trip purposes. Embodiments include building a topic model representing words associated with a plurality of topics. Embodiments include training a topic prediction model, using the plurality of topics and one or more features derived from each of the plurality of trip records, to output a topic based on an input trip record. Embodiments include training a purpose prediction model, using the topic model and the plurality of trip purposes, to output a trip purpose based on an input topic. The trip purpose may be recommended to a user via a user interface of the application running on the remote device.

Abstract: A vehicle includes a prime mover and a fuel system. The fuel system includes a tank, a regulator, a first shutoff valve, and a second shutoff valve. The tank is configured to provide a supply flow of fuel. The regulator is controllable to provide a regulated flow of fuel to the prime mover by modulating the supply flow of fuel. The first shutoff valve is positioned to facilitate selectively disengaging the prime mover from the fuel system. The second shutoff valve is positioned to facilitate selectively blocking the supply flow of fuel provided by the tank.

Abstract: A trial humeral prosthesis may include a trial stem for implantation into a humerus, and a trial proximal body configured to couple to a trial articulating component. A plurality of trial spacers may be configured to couple the trial stem to the trial proximal body, the plurality of trial spacers including a first trial spacer and a second trial spacer. The first and second trial spacers may each include a proximal post and a tab extending radially outward from the proximal post, and a distal body having a larger outer diameter than an outer diameter of the proximal post, a slot being formed in the distal body. The slot of the distal body of the first trial spacer may be configured to receive the tab of the second trial spacer when the proximal post of the second trial spacer is received within the distal body of the first trial spacer.