Abstract: Systems and methods for providing a security code of an electronic stored value card are disclosed. A computer implemented method may include receiving a request for a security code of an electronic stored-value card, calculating the security code by a security code provider, providing a calculated security code of the electronic-stored value card in response to the request for a security code, and eliminating the calculated security code from all databases of the security code provider. A system may include a computer device of a provider of a security code of an electronic stored-value card, the computer device to receive a request for a security code of the electronic stored-value card, to calculate the security code, to provide the calculated security code in response to the request for a security code, and to eliminate the calculated security code from the computer device.

Abstract: Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Abstract: A processing element includes a PIM cluster configured to read data from and write data to an adjacent DRAM subarray, wherein the PIM cluster has a plurality of processing cores, each processing core of the plurality of processing cores containing a look-up table, and a router connected to each processing core, wherein the router is configured to communicate data among each processing core; and a controller unit configured to communicate with the router, wherein the controller unit contains an executable program of operational decomposition algorithms. The look-up tables can be programmable. A DRAM chip including a plurality of DRAM banks, each DRAM bank having a plurality of interleaved DRAM subarrays and a plurality of the PIM clusters configured to read data from and write data to an adjacent DRAM subarray is disclosed.

Abstract: Described herein are methods such as multi-omic methods for assessing a disease such as cancer. The multi-omic methods may integrate proteomic, transcriptomic, genomic, lipidomic, or metabolomic data. The method screening diseases or disease states. Also described herein are methods for screening for diseases or disease states from biological samples. The methods may include assessing whether a nodule, mass, or cyst is cancerous.

Abstract: Provided are computer-implemented methods for generating embeddings for objects which may include receiving heterogeneous network data associated with a plurality of objects in a heterogeneous network; selecting at least one pattern of objects; determining instances of each pattern of objects based on the heterogeneous network data; generating a pattern matrix for each pattern of objects based on the instances of the pattern of objects; generating pattern sequence data associated with a portion of each pattern matrix; generating network sequence data associated with a portion of the heterogeneous network data; and combining the pattern sequence data and the network sequence data into combined sequence data. In some non-limiting embodiments or aspects, methods may include generating a vector for each object of the plurality of objects based on the combined sequence data. Systems and computer program products are also provided.

Abstract: Systems, methods, and computer-readable media for facilitating a fund transfer between user accounts are provided.

Abstract: A computer-implemented method in which one or more processing devices perform operations may include obtaining a field image of a railcar collected from a field camera system and applying a machine-learning algorithm to the field image to generate a machine-learning algorithm output. The method may also include performing a post-processing operation on the machine-learning algorithm output to generate a filtered machine-learning algorithm output. Further, the method may include detecting a defect of the railcar using the filtered machine-learning algorithm output.

Abstract: A capturable code for automatically formatting and addressing a text message to apply for an offer is disclosed. The method interacting with, via a mobile device of a user, a capturable code and automatically generating a text message on the mobile device in response to the interaction. The automatic generation automatically provides an address for the text message, and automatically formats the text message. Providing, at the mobile device and into the text message, at least one device identifier (ID) for the mobile device and a user identifier (ID). Sending, via the mobile device, the text message to the address. Receiving, at the mobile device, a prepopulated form, which is prefilled with user specific information. Verifying, at the mobile device, the user specific information. Receiving, at the mobile device and upon a credit approval, a new credit account in a ready-to-use format.

Abstract: A facial tracking device including an illuminator and a photon detector. The illuminator configured to project a light toward a first portion of a head of a user and the photon detector configured to detect light reflected from a second portion of the head of the user. The facial tracking device further including a processor that is connected to the illuminator and photon detector and configured to cause the illuminator to project the light toward the head of the user, receive information from the photon detector, and determine a facial expression of the user.

Abstract: A method and system for a single framework for both streaming and on-demand inference that includes receiving a request from a tenant application for a machine-learning serving infrastructure, where the request identifies features of tenant data and a machine-learning model, subscribing to events for the identified features, initiating the machine-learning model for the request, and generating a prediction using the machine-learning model on the identified features.

Abstract: Present disclosure relates to system and method for converting RTMP stream into HLS format for live stream. The solution architecture can include three main components: a Publisher (106), a Streamer (108) and an API server (112). The publisher (106) manages incoming RTMP streams and converts RTMP stream into multiple (resolutions) HLS streams with an adaptive bit rate. The streamer (108) manages end users consuming HLS feed. As publisher (106) can be busy doing transcoding, the streamer (108) can serve HLS format to an end user. At streamer level, caching is done instead of sending all requests to publisher. The API server (112) manages load on the publishers and the streamers, and makes sure that the servers are available all the time. Live stream API server keeps record of the streams which are available as well as the corresponding publishers having the streams.

Abstract: A variety of particles forming microencapsulated thermochromic materials. The particles can include a thermochromic core and a metal oxide shell encapsulating the thermochromic core. The thermochromic core can include one or both of an organic thermochromic material and an inorganic salt thermochromic material. In some aspects, the particles include a dye selected from a crystal violet lactone dye, a fluoran dye, and a combination thereof. In still further aspects, the particles include a color developer selected from a hydroxybenzoate, a 4,4?-dihydroxydiphenyl propane, a hydroxycoumarin derivative, a lauryl gallate, and a combination thereof. In some aspects, the metal oxide shell is a TiO2 shell. The particles can be used in cements and paints and for a variety of building materials. Methods of making the particles and building materials and methods of use, for example, for removing a volatile organic carbon from a building material, are also provided.

Abstract: An intravenous catheter apparatus comprising a tubular catheter having a proximal end and a distal end mounted to a catheter hub; a needle defining an axial direction has a wall defining a lumen, a bevel and having a needle shaft with a needle tip at a distal end and a needle hub mounted to the proximal end of the needle shaft; and a needle guard arranged movably on the needle shaft; wherein said needle shaft extends through said tubular catheter such that said needle tip of said needle protrudes from said distal end of said tubular catheter; wherein said needle is provided with an engagement means adapted to engage with said needle guard in order to prevent said needle guard from sliding off said needle tip; wherein said needle has at least one opening having at least one slanted cut.

Abstract: One embodiment provides a method for providing simplified user management within a software application, the method including: receiving, within a user management interface of the software application, input from an editing user to perform an action corresponding to a user within the software application, wherein the action comprises modifying the user within the software application; validating, within the software application, the editing user is authorized to perform the action within the software application, wherein the validating includes determining the editing user is an existing user within the software application and determining the user is associated with the editing user; and performing, responsive to validating the editing user is authorized to perform the action, the action with respect to the user in the software application. Other aspects are described and claimed.

Abstract: Embodiments are directed to homomorphic encryption for machine learning and neural networks using high-throughput Chinese remainder theorem (CRT) evaluation. An embodiment of an apparatus includes a hardware accelerator to receive a ciphertext generated by homomorphic encryption (HE) for evaluation, decompose coefficients of the ciphertext into a set of decomposed coefficients, multiply the decomposed coefficients using a set of smaller modulus determined based on a larger modulus, and convert results of the multiplying back to an original form corresponding to the larger modulus by performing a reverse Chinese remainder theorem (CRT) transform on the results of multiplying the decomposed coefficients.

Abstract: Examples of a virtualized file server that persistently stores file system event data records are described. The virtualized file server may include an audit framework with a connector publisher that is configured to publish the event data records and other information for consumption by other services using a message system. The event data records may include data related to various operations on the file system executed by the VFS. The VFS may persistently store event data records according to a data retention policy and/or until an event data record is consumed by one or more particular services.

Abstract: Data storage operations, including content-indexing, containerized deduplication, and policy-driven storage, are performed within a cloud environment. The systems support a variety of clients and cloud storage sites that may connect to the system in a cloud environment that requires data transfer over wide area networks, such as the Internet, which may have appreciable latency and/or packet loss, using various network protocols, including HTTP and FTP. Methods are disclosed for content indexing data stored within a cloud environment to facilitate later searching, including collaborative searching. Methods are also disclosed for performing containerized deduplication to reduce the strain on a system namespace, effectuate cost savings, etc. Methods are disclosed for identifying suitable storage locations, including suitable cloud storage sites, for data files subject to a storage policy.

Abstract: The present disclosure relates to a system and method for facilitating error-free communication of data by enabling transfer of data over audio signal in near-ultra sonic frequencies with specially designed audio emitted using a mixture of frequencies to achieve maximum stability. The method may include randomized emission of data bits over a plurality of frequency ranges to allow temporal and frequency voting. The audio signal transmitted may be received by pre-processing the received audio signal to remove unused frequency bands and unwanted audio artifacts introduced during transmission. The pre-processed audio signal may be further applied with a plurality of audio processing levels to denoise, smoothen the audio signal by going through noise subtraction using unique noise profiles and spectrally gate using curated thresholds. The audio signal may be then demodulated using a unique confidence score based on the power of all the frequencies emitted to find the data transmitted.

Abstract: In one embodiment, a method includes a method for provisioning private-cloud server nodes by receiving a request to provision a specified number of server nodes for a private cloud, wherein the request is associated with a user, identifying a plurality of server nodes including (a) the specified number of hypervisor server nodes from a first pool that includes prepared hypervisor server nodes, each of which includes a previously-installed hypervisor, and (b) a management server node from a second pool that includes prepared management server nodes, each of which includes a previously-installed hypervisor and one or more previously-installed management components, configuring the identified server nodes to use a network associated with the user, creating a private cloud that includes the identified server nodes, and providing, to the user, permission to access the identified server nodes.

Abstract: Various embodiments are generally directed to providing authentication and confidentiality mechanisms for message communication over an in-vehicle network. For example, authentication data associated with a communicating node may be transmitted over the network by encoding different predefined voltage levels on top of the message bits of the message being communicated. Different voltage levels may represent different encodings, such as a bit-pair or any bit combination of the authentication data. In a further example, messaging confidentiality between at least two communicating nodes may be achieved by pseudo-randomly flipping, or scrambling, the dominant and recessive voltages of the entire message frame at the analog level based on a pseudo-random control bit sequence.