Abstract: An example operation includes one or more of receiving driving data of a first vehicle, receiving driving data of a second vehicle driving in a different lane than the first vehicle, determining that the first vehicle and the second vehicle will collide via execution of a machine learning model on the driving data of the first and second vehicles, and displaying a warning on a user interface associated with one or more of the first and second vehicles.

Abstract: A low-cost compact ignition sense and control circuit is powered by a battery supply line of a vehicle and receives an ignition input signal indicating the turning ON/OFF of a vehicle. Responsive to the ignition input signal, the ignition sense and control circuit utilizes first and second MOSFETS to control an ON/OFF state of a main internal power supply of an ECU or to control an activate/deactivate state of a microprocessor of the ECU. When the MOSFETS are ON, voltage from the battery supply line is used to either latch the main internal power supply of the ECU to an ON state or to latch the microprocessor of the ECU into an ON state. An OFF signal at the ignition input signal releases the latch to provide a shutdown of the main internal power supply or microprocessor.

Abstract: In some examples, a structure is contacted with polynucleotides having a variety of lengths and each including first and second adapters. The structure includes a substrate including first and second regions spaced apart from one another by a gap of at least 100 nm, a first set of capture primers coupled to the first region of the substrate, and a second set of capture primers coupled to the second region of the substrate. The first adapter of the polynucleotide is hybridized to a capture primer of the first set of capture primers. Based on that polynucleotide being sufficiently long to bridge the gap, it is amplified using the first and second sets of capture primers. Based upon that polynucleotide being insufficiently long to bridge the gap, it is not amplified. Optionally, a wall may be disposed in the gap.

Abstract: An embodiment of an electronic apparatus may include one or more substrates, and logic coupled to the one or more substrates, the logic to control access to a persistent storage media based on a block and sub-block access structure, store a data structure in the persistent storage media to track read fails at a sub-block granularity for a word-line for every block, and update the data structure in response to a read fail on a block to indicate a failed sub-block that corresponds to the read fail for a word-line for the block. Other embodiments are disclosed and claimed.

Abstract: A system and method for predicting financial transaction patterns is disclosed. The method includes receiving invoice data of one or more customers. The method further includes receiving granularity levels, thereby generating a set granularity level instances based on various invoice data attributes. The method further computes payment frequency bucket features for all the generated set of granularity level instances and assigns invoices to clusters based on the set of payment frequency bucket features. The set of payment frequency bucket features assigns a customer to be one of: a weekly payer, alternative weekly payer, a monthly payer, a bi-monthly, a quarterly payer, a half yearly payer and an annual payer. The method further includes the generation of a set of payment pattern features based on the set of payment frequency bucket features of the cluster. Further, the method includes selection of an optimal pattern with highest probability of adherence.

Abstract: Methods and systems for shifting a transmission of an electric vehicle are described. The methods and systems may be applied to fully electric or hybrid vehicles. The methods and systems may allow a transmission to be shifted within an acceptable time frame without supplying excess charge to an electric energy storage device.

Abstract: Embodiments herein describe preventing a pluggable module from connecting to a chassis until ensuring there is no damage on the pluggable module, the chassis, or both. In one embodiment, the chassis includes a blocking element that prevents or blocks the pluggable module from mating with the chassis. The chassis can also include a camera for capturing an image of the pluggable module to determine whether there is damage to its connection elements (e.g., pins). If not, the chassis can release the locking pin to permit the pluggable module to mate with connection elements on the chassis.

Abstract: A non-invasive, transcutaneous, real-time viral detection device that is configured for self-administration, e.g., at a user's home. In one embodiment, and after positioning the device relative to the human body part (e.g., the user's finger), light sources in the device are activated (excited), and resulting data captured. In particular, a set of Raman spectra are collected from a configured set of emitters and detectors in the device and delivered to a nearby receiver, preferably wirelessly. The receiver filters and de-convolves the Raman spectra producing a data set representative of the constituent elements in the user's tissue of interest. The data set is applied against a statistical classifier, e.g., a neural network that has been trained to recognize and distinguish the absence or presence of viral components, e.g., C-19, or its associated blood-borne acute phase reactants.

Abstract: A refrigerator includes a filter, a receiver, a manifold, and a cam. The filter has a handle extending therefrom. The receiver defines a cavity configured to receive the filter. The manifold is configured to engage an opposing end of the filter relative to the handle via axial rotation of the filter. The manifold is configured to pivot upward to transition the filter to an activated position. The manifold is configured to pivot downward to transition the filter to a deactivated position. The cam is configured to interfere with the handle in response to partial axial rotation of the filter to prevent the filter from pivoting upward to the activated position. The cam is configured to provide clearance for the handle in response to full axial rotation of the filter to facilitate the filter pivoting upward to the activated position.

Abstract: An optimal package structure and an amount of refrigerant to insert into the package structure are determined based upon product information, consumer preference information, and weather information. The optimal package structure and the amount of refrigerant are an optimized combination that is effective to both protect the product from damage and preserve the product from spoilage. A package is constructed to contain the product according to the optimal package structure and the amount of refrigerant is inserted into the structure.

Abstract: A secure, modular multi-tenant machine learning platform is configured to: receive untrusted code supplied by a first tenant; perform a security scan of the untrusted code to determine whether the untrusted code satisfies a set of one or more security requirements; responsive to determining that the untrusted code satisfies the security requirement(s): deploy the untrusted code to a runtime execution environment; deploy a machine learning model associated with the first tenant to the runtime execution environment, the untrusted code being configured to perform one or more functions using the machine learning model; receive a set of untrusted code supplied by a second tenant; perform a security scan of the untrusted code to determine whether the untrusted code satisfies the security requirement(s); and responsive to determining that the untrusted code does not satisfy the security requirement(s): refraining from deploying the untrusted code to a runtime execution environment.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for a content acquisition system to recommend for acquisition a subset of content items selected from a set of content items available for purchase in relation to a content recommendation system currently used in a media environment. The content acquisition system may include a content recommendation system simulator to estimate an impact function value for a potential subset of content items of the set of content items available for purchase based on the currently used content recommendation system. Afterwards, an acquisition recommender can recommend for acquisition a subset of content items based on an optimized objective function value calculated based on an optimization model while meeting one or more budget constraints.

Abstract: An initial transaction is generated representing a forecasted demand for material needed to manufacture equipment via a supply chain. The initial transaction is added to a blockchain for access by entities in the supply chain comprising at least a subset of one or more supply entities, one or more material distribution entities, and one or more manufacturing entities. In one or more examples, the steps may be performed by an OEM blockchain node that accesses any transactions added by the various entities on the blockchain node and limits access to transactions on the blockchain by the various entities. Further, the initial transaction may be a main transaction and a transaction representing a commitment by one of the supply entities may be a sub-transaction of the main transaction, and the sub-transaction is closed in the blockchain upon the request for payment for the committed material or payment of the request.

Abstract: Provided is a system and method that can identify whether an item is a dangerous good. The system can determine whether a product belongs in any of a number of different classes of dangerous goods from among a plurality of different regulations based on a machine learning algorithm which performs a text-based classification. In one example, the method may include receiving an identification of an object, retrieving a plurality of descriptive attributes of the object from a data store and converting the plurality of descriptive attributes into an input string, predicting whether the object is a dangerous object via execution of a text-based machine learning algorithm that receives the input string as an input, and outputting information about the prediction of the object for display via a user interface.

Abstract: A method, system, and computer program product generate, with a payment network, a first value (a) and a second value (ga), the second value (ga) generated based on the first value (a) and a generator value (g); generate, with the payment network, a plurality of random merchant numbers (mi) for a respective plurality of merchant banks; determine, with the payment network, a merchant product (M) based on a product of the plurality of random merchant numbers (mi); generate, with the payment network, a public key (pki) based on the second value (ga), the merchant product (M), and the random merchant number (mi) and a random key (rki) based on the merchant product (M) and the random merchant number (mi) for each respective merchant bank; and communicate, with the payment network, the public key (pki) and the random key (rki) to at least one respective merchant bank.

Abstract: Aspects of the disclosure are directed to allocating bandwidth. As may be implemented in accordance with one or more embodiments, respective amounts of bandwidth are allocated to respective application groups for each memory access cycle in a set of memory access cycles. Initial bonus bandwidth is provided to a first one of the application groups during one of the memory access cycles. The bonus bandwidth may include at least a portion of bandwidth allocated to and unused by one of the other respective application groups during the memory access cycle. Additional bonus bandwidth is selectively provided to the first application group during one of the memory access cycles based on the initial bonus bandwidth and a maximum amount of bonus bandwidth defined for the set of memory access cycles, in response to bandwidth allocated to one of the other respective application groups during the subsequent memory access cycle being unused.

Abstract: In one embodiment, a computer-implemented method comprises, using an e-procurement platform instance that is programmed to host thousands of user accounts that are associated with a plurality of different entities, receiving, from a buyer computer, supplier payment account data for a dataset representing a payment to a supplier; creating a cryptographically secure fingerprint based on the supplier payment account data; using the fingerprint and at least a portion of the supplier payment account data, programmatically transmitting a structured database query to a digital data repository, the digital data repository comprising at least hundreds of thousands of records of transactions that included other datasets representing other payments; in response to the querying, receiving a result set of a plurality of supplier payment datasets, based on the records of transactions, the supplier payment datasets representing past submissions of payments to the same supplier payment account that the fingerprint represents

Abstract: An example operation includes one or more of receiving sensor data from one or more hardware sensors of a vehicle, obtaining multi-modal data of an occupant of the vehicle from the sensor data, predicting, via a machine learning model, the occupant of the vehicle suffers from attention deficit hyperactivity disorder (ADHD) based on the multi-modal data, and causing one or more hardware systems within the vehicle to provide an audible alert to the occupant based on the prediction.

Abstract: Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning model to determine a particular skill and intent to recommend. The system then prompts the user to accept the recommended skill and intent. If the user accepts, the system calls the recommended skill to execute. As part of calling the skill, the system sends to the skill at least one entity provided in a natural language user input of the ended dialog session. This enables the skill to skip welcome prompts, and initiate processing to output a response based on the intent and the at least one entity of the ended dialog session.

Abstract: A system and method for controlling delivery of broadcast content are described. They include a broadcast device configured to receive a first media stream from a first content source, provide the first media stream for broadcast transmission in a broadcast communication network while operating in a first operating mode. They further include a diagnostic device configured to monitor at least one characteristic of the quality of the first media stream from at least one location in the broadcast communication network, generate at least one control signal in response to a determination that a value for the at least one characteristic exceeds a threshold value, provide the at least one control signal over the broadcast communication network. The broadcast device is further configured to select a second operating mode in response to receiving at least one control signal, the second operating mode being different from the first operating mode.