Abstract: A robotic system is disclosed. The system includes a communication interface that receives, from a sensor(s) deployed in a workspace, sensor data indicative of a current state of the workspace, the workspace comprising a pallet or other receptacle and a plurality of items stacked on or in the receptacle. The system includes one or more processors that control a robotic arm to place a first set of items on or in, or remove the first set of items from, the pallet or other receptacle, update a geometric model based on the first set of items placed on or in a receptacle, use the geometric model in combination with the sensor data to estimate a stack of one or more items on or in the receptacle, and use the estimated state to generate or update a plan to control the robotic arm to place a second set of items.

Abstract: A technical validation mechanism is described that includes the use of facial feature recognition and tokenization technology operating in combination with machine learning models can be used such that specific facial or auditory characteristics of how an originating script is effectuated can be used to train the machine learning models, which can then be used to validate a video or a particular dynamically generated passphrase by comparing overlapping phonemes or phoneme transitions between the originating script and the dynamically generated passphrase.

Abstract: Aspects of the disclosure relate to fragmenting payment transactions. Based a virtual assistant establishing an active session with a voice activated device, a computing platform may receive, from the virtual assistant, a request initiated at the voice activated device for a payment transaction. The computing platform may retrieve user identifying information associated with fragmenting payment transactions for determining whether to fragment the payment transaction between a plurality of user accounts. In determining to fragment the payment transaction, the computing platform may generate allocation information indicating an amount of funds to be transferred from each of the plurality of user accounts. The computing platform may cause the voice activated device to prompt the user to confirm the allocation information.

Abstract: A system is provided that may include a generator or alternator. A ceramic bearing assembly is within the alternator or generator. The ceramic bearing assembly may include one or more ceramic rolling elements formed of a ceramic material not including metal and disposed between a metallic inner race and an outer race of the ceramic bearing assembly.

Abstract: An aspect of the present disclosure relates to a system implemented in a host vehicle, comprising: a radar based detection unit, comprising one or more radar sensors, for detecting one or more targets around the host vehicle; a vision based detection unit, comprising one or more image sensors, for detecting one or more targets in the field of view of the host vehicle; and a processing unit to: receive information corresponding to detected one or more targets from each of the radar based detection unit and the vision based detection unit; match each of the one or more targets detected by the radar based detection unit with one or more targets detected by vision based detection unit to identify a target as a matched target; categorize the matched target as a locked target; and track the locked target using information received from the radar based detection unit.

Abstract: Provided herein are rehydratable powdered formulations of nanocarriers that can be used to encompass hydrophobic or hydrophilic cargo. The formulations can be used for medicinal, agricultural, and research applications. Methods of making the formulations are also provided.

Abstract: A robotic system is disclosed. The system includes a communication interface configured to receive, from one or more sensors deployed in a workspace, sensor data indicative of a current state of the workspace, the workspace comprising a pallet or other receptacle and a plurality of items stacked on or in the receptacle. The system includes one or more processors that use a geometric model based at least in part on past item placements in combination with the sensor data to estimate a state of the pallet or other receptacle and one or more items stacked on or in the pallet or other receptacle, and use the estimated state to generate or update a plan to control a robotic arm to place a next item on or in, or remove a next item from, the pallet or other receptacle in a manner that avoids having the next item collide with any other item stacked on or in the pallet or other receptacle.

Abstract: A system for performing dynamic exposure analysis typically includes a classical computer apparatus and a quantum optimizer in communication with the classical computer apparatus. The classical computer apparatus is configured for gathering data from one or more data sources, processing the gathered data, via an artificial intelligence engine, to determine a change to an exposure rating, converting the gathered data into at least one matrix, converting the at least one matrix to at least one Qubit sequence, and transmitting the at least one Qubit sequence to a quantum optimizer. The quantum optimizer upon receiving the at least Qubit sequence, generates at least one random number based on one or more parameters stored in a configuration repository, computes the at least one Qubit sequence and the at least one random number to generate a real-time exposure rating, and transmits the real-time exposure rating to exposure analysis application.

Abstract: Embodiments relate to a system, program product, and method for automatically executing an impact analysis of a data analytics pipeline to determine impacts to the pipeline subject to changes to input data and the pipeline. The method includes determining, automatically, components of the pipeline that are impacted by the implemented changes. The method also includes identifying datasets to rescore through the pipeline. Each of the datasets to rescore have been scored through the pipeline prior to the changes such that previous scores of each of the respective datasets have been determined by the pipeline prior to the changes. The method further includes rerunning, through only the determined impacted components, the datasets, thereby generating rescores of the datasets. The method also includes retrieving each of the previous scores of the datasets, comparing the rescores with the respective previous scores, and transmitting, subject to the comparing, alerts to an output device.

Abstract: A video hardware engine which support dynamic frame padding is disclosed. The video hardware engine includes an external memory. The external memory stores a reference frame. The reference frame includes a plurality of reference pixels. A motion estimation (ME) engine receives a current LCU (largest coding unit), and defines a search area around the current LCU for motion estimation. The ME engine receives a set of reference pixels corresponding to the current LCU. The set of reference pixels of the plurality of reference pixels are received from the external memory. The ME engine pads a set of duplicate pixels along an edge of the reference frame when a part area of the search area is outside the reference frame.

Abstract: Systems that search databases of videos or images to identify similar products in a given video or image of a product are disclosed. The content of the given video is represented by a feature vector used to measure the given video's similarity to either a video or an image. When the system is deployed to recognize particular fashion items in videos, some such videos are taken in uncontrolled settings, and as a result, may have low resolution, poor contrast, minimal focus, motion blur, or low lighting. By recognizing and removing poor quality video frames from the image recognition pipeline, associating products across video frames to form tracklets of each product, and enriching the feature representation of each item for best retrieval result by fusing information from multiple video frames depicting the item, the system addresses the aforementioned shortcomings.

Abstract: A method of forming a microelectronic device comprises forming a stack structure. Pillar structures are formed to vertically extend through the stack structure. At least one trench and additional trenches are formed to substantially vertically extend through the stack structure. Each of the additional trenches comprises a first portion having a first width, and a second portion at a horizontal boundary of the first portion and having a second width greater than the first width. A dielectric structure is formed within the at least one trench and the additional trenches. The dielectric structure comprises at least one angled portion proximate the horizontal boundary of the first portion of at least some of the additional trenches. The at least one angled portion extends at an acute angle to each of a first direction and a second direction transverse to the first direction. Microelectronic devices and electronic systems are also described.

Abstract: A system for processing information requests associated with mobile devices comprises an evaluation module configured to determine at least one performance measure for each of a plurality of information documents using at least data in one or both of a requests database and events database. The at least one performance measure includes at least one of an impression-based performance measure, a click/call-based performance measure, and an off-line site-visit-based performance measure. The system further comprises an information server configured to select a first information document for transmitting to a first mobile device to fulfill a first request.

Abstract: The present invention generally relates to the field of automated and flexible information extraction and protection for graphical data. In particular, the invention provides a unique platform for analyzing, classifying, extracting, and processing information from images using deep learning image detection models. Embodiments of the inventions are configured to provide an end to end automated solution for intelligently hiding or obscuring private data from graphical displays via the use of embedded steganographic image data techniques.

Abstract: Data warehousing solutions utilize lengthy and complex SQL instructions. These SQL instructions are difficult to parse and understand underlying logic/transformations performed. Conventionally, extensive analysis, time and effort needs to be spent to understand such SQL instructions and detect any data abnormalities in the SQL instructions. This technical challenge is exacerbated in high-volume production systems that include multiple systems that each utilize their own sets of SQL instructions. Apparatus and methods described herein take as input a natural language inquiry received from a user. The system attempts to parse the natural language inquiry to identify one or more relevant SQL instructions. Apparatus and methods may utilize AI and natural language processing to locate relevant SQL instructions, deconstruct them into subqueries and map a logical operational flow. Based on the mapped logic flow, a natural language response may be formulated to the user inquiry.

Abstract: A multi-layer serverless sizing stack may determine a compute sizing correction for a serverless function. The serverless sizing stack may analyze historical data to determine a base compute allocation and compute buffer range. The serverless sizing stack may traverse the compute buffer range in an iterative analysis to determine a compute size for the serverless function to support efficient computational-operation when the serverless function is instantiated.

Abstract: A robotic system is disclosed. The system includes a memory that stores a machine learning-based model to provide a scoring function value for a candidate item placement on a pallet on which are plurality of items are to be stacked given a current state value of the pallet and a set of zero or more items placed previously. The system includes one or more processors that use the model to determine a corresponding score for each of a plurality of candidate placements for a next item to be placed and the current state value associated with the current state of the pallet and a set of zero or more items placed previously, select a selected placement based at least in part on the respective scores, control a robotic arm to place the next item according to the selected placement.

Abstract: Policy deviations for distributed computing environments are detected and recorded an immutable ledger of transaction provenance from end to end transactions performed in the distributed computing environment. From the immutable ledger, persona data for transaction types is plotted as an bipartite graph. Edge weights of the bipartite graphs are correlated to trust levels between personas from the persona data and the transaction types from the immutable ledger. Trust levels from the edge weights are correlated to rules illustrating when the transaction provenance indicate a policy deviation in the distributed computing environment. The rules are then employed to detect in real time end to end provenance when a policy deviation in the distributed computing environment is occurring. An alert of policy deviations may be sent to stakeholders for the distributed computing environment.

Abstract: A method includes executing a Optical Character Recognition (OCR) preprocessor on training images to obtain OCR preprocessor output, executing an OCR engine on the OCR preprocessor output to obtain OCR engine output, and executing an approximator on the OCR preprocessor output to obtain approximator output. The method further includes iteratively adjusting the approximator to simulate the OCR engine using the OCR engine output and the approximator output, and generating OCR preprocessor losses using the approximator output and target labels. The method further includes iteratively adjusting the OCR preprocessor using the OCR preprocessor losses to obtain a customized OCR preprocessor.

Abstract: A method for wireless communication by a receiving device, includes receiving, from a transmitting device, a latent representation of a channel sequence for a wireless signal. A decoder applies a physical propagation channel model to the latent representation to reconstruct the channel sequence for the wireless signal.