Abstract: The present invention provides compounds of Formula I?, or pharmaceutically acceptable salts thereof, pharmaceutical compositions thereof, and methods of use thereof for treating cellular proliferative disorders (e.g., cancer).

Abstract: An apparatus includes an illumination source including a first illumination source segment and a second illumination source segment. The apparatus also includes driver circuitry coupled to the illumination source, the driver circuitry including a first driver coupled to the first illumination source segment, the first driver configured to produce a first drive signal to instruct the first illumination source segment to produce a first light having a first illumination intensity. The driver circuitry also includes a second driver coupled to the second illumination source segment, the second driver configured to produce a second drive signal to instruct the second illumination source segment to produce a second light having a second illumination intensity.

Abstract: A system to provide a risk relationship transaction automation tool via a back-end application computer server of an enterprise. The system may include a risk relationship data store that contains electronic records representing transactions associated with requested resource allocations between the enterprise and a plurality of entities. The server may receive an indication of a selected requested resource allocation transaction and retrieve, from the risk relationship data store, the electronic record associated with the selected requested resource allocation transaction. The server may then execute a medical code decision model. According to some embodiments, the system may also support a graphical interactive user interface display via a distributed communication network, the interactive user interface display providing resource allocation transaction data.

Abstract: A method for local automatic white balance (AWB) of wide dynamic range (WDR) images is provided that includes collecting statistics for local AWB by an image signal processor (ISP) from a first WDR image generated by the ISP, receiving, by the ISP, a plurality of local gain lookup tables (LUTs), one for each color channel, wherein the plurality of local gain LUTs is generated using the statistics, and applying, by the ISP, a gain value to each pixel in a second WDR image generated by the ISP, wherein the gain value for the pixel is determined by the ISP using the local gain LUT for the color channel of the pixel.

Abstract: A method and system for dynamically watermarking media content based on transport-stream metadata, to facilitate action by a downstream entity. An intermediary in a media-distribution path could receive a transport stream carrying media content and carrying metadata that is not watermarked in the media content. The intermediary could then obtain from the transport stream the metadata that is not watermarked in the media content and could modify the media content at least by encoding into the media content a watermark that represents the obtained metadata. And the intermediary could then output at least the modified media content for transmission to a downstream entity. The downstream entity could thus obtain from the watermark in the media content the metadata and could use the metadata to facilitate carrying out one or more useful actions.

Abstract: Exemplary methods of semiconductor processing may include flowing a silicon-containing precursor into a processing region of a semiconductor processing chamber. A substrate may be housed within the processing region, and the substrate may be maintained at a temperature below or about 450° C. The methods may include striking a plasma of the silicon-containing precursor. The methods may include forming a layer of amorphous silicon on a semiconductor substrate. The layer of amorphous silicon as-deposited may be characterized by less than or about 3% hydrogen incorporation.

Abstract: An apparatus includes a lens assembly that includes at least one lens that defines an optical axis. The apparatus also includes a substrate, an image sensor disposed on the substrate, and an actuator coupled to the substrate and configured to adjust a position of the substrate relative to the lens assembly to move the image sensor along the optical axis. The apparatus additionally includes a capacitive position sensor that includes a first capacitive plate coupled to the substrate and a second capacitive plate coupled to the lens assembly. The capacitive position sensor may be configured to generate a capacitance measurement indicative of the position of the substrate relative to the lens assembly. The apparatus further includes circuitry configured to control the actuator based on (i) the capacitance measurement and (ii) a target position of the image sensor relative to the lens assembly.

Abstract: Embodiments relate to a piezoelectric ceramic and methods of making the same that is suitable for use as a high-power piezoelectric ceramic, and in particular a piezoelectric ceramic that exhibits both good hard properties and good soft properties. Embodiments involve generating the piezoelectric ceramic via the combination of chemical modification/doping and/or a texturing method so that the piezoelectric material exhibits a large figure of merit, as well as other hard and soft properties. The chemical modification involves Cu and Mn doping a piezoelectric material composition having a relaxor-lead titanate based ferroelectric structure. The texturing involves templated grain growth (TGG) texturing using a BaTiO3 (BT) template.

Abstract: A system may include a virtual machine, of a cloud computing environment, that executes a target application workload to be intercepted. A software defined anomaly detection engine (that is separate from the target application workload and that is also executing in the virtual machine) may intercept the target application workload. A computer processor of the software defined anomaly detection engine may intercept network traffic that is external to the virtual machine and associated with the target application workload. The software defined anomaly detection engine may then automatically execute an anomaly detection algorithm in substantially real time on the intercepted network traffic to generate an intercept result. An anomaly detection alert signal may be transmitted based on a comparison of the intercept result and an anomaly threshold value.

Abstract: The present disclosure relates to systems, vehicles, and methods that include adjusting a position of an image sensor with respect to a lens assembly. An example optical system includes a lens assembly having at least one lens. The at least one lens defines an optical axis, a focal distance, and a focal plane. The optical system also includes a lens holder coupled to the lens assembly and a substrate having a first surface. The optical system additionally includes an image sensor attached to the first surface of the substrate. Furthermore, the optical system includes an active compensation system having a piezoelectric structure coupled between the lens holder and the first surface of the substrate. The active compensation system is configured to maintain the image sensor at the focal plane over a predetermined temperature range.

Abstract: Methods and systems may be associated with a cloud computing environment. A serverless function orchestrator may execute a socket activation for a VM to pre-provision a TCP socket (e.g., setting up virtual interfaces and creating socket structures) before the VM hosts any serverless function associated with the pre-provisioned TCP socket. After this socket activation, the orchestrator may receive a request for a first serverless function and, responsive to the received request, start the first serverless function on the VM using the pre-provisioned TCP socket. After the activation and prior to starting the first serverless function, the system may queue packets received in connection with the pre-provisioned TCP socket. In some embodiments, multiple TCP sockets, each associated with a VM, may activated before any serverless functions are hosted and the first serverless function is started on a VM selected based on information in a serverless function experience data store.

Abstract: Various embodiments include a camera having one or more bumper arrangements to cushion lateral movement of one or more camera components. In some embodiments, the bumper arrangement(s) may cushion lateral movement of a moveable platform as the moveable platform approaches a stationary structure. According to some embodiments, the bumper arrangement(s) may include one or more bumper features attached to (and/or defined by) the moveable platform and/or the stationary structure.

Abstract: Disclosed is a system, method, and computer program product for determining solvency of a digital asset exchange system. The method includes identifying a plurality of blockchain addresses corresponding to a plurality of users of the digital asset exchange system, generating a first commitment to an amount of digital assets corresponding to the plurality of blockchain addresses, generating a second commitment to a balance of each user of the plurality of users, generating a first component of a zero-knowledge algorithm configured to receive, as input, the first commitment, and to output a value generated based on each public key, generating a second component of the zero-knowledge algorithm configured to receive, as input, the second commitment, and to output a value generated based on each user balance, and determining, with at least one processor, that the digital asset exchange system is solvent based on the zero-knowledge algorithm.

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: At an authorization server, a shared secret electronic key may be shared with a second computer. A selection to use a system to complete a transaction may be received from a first computing device. An image may be communicated to the first computing device. A digital representation entered by the user representing the image and a PIN based on the copy of the shared electronic key may be received from the second computing device. The system and method may determine if the digital representation entered by the user on the second computing device matches the image communicated to the first computing device. The system and method may determine if the PIN based on the copy of the shared electronic key from the second computing device is as expected. In response to determining the digital representation entered by the user matches the image and the PIN the second computing device is as expected, the user may be authorized.

Abstract: One embodiment provides a method for federated learning across a plurality of data parties, comprising assigning each data party with a corresponding namespace in an object store, assigning a shared namespace in the object store, and triggering a round of federated learning by issuing a customized learning request to at least one data party. Each customized learning request issued to a data party triggers the data party to locally train a model based on training data owned by the data party and model parameters stored in the shared namespace, and upload a local model resulting from the local training to a corresponding namespace in the object store the data party is assigned with. The method further comprises retrieving, from the object store, local models uploaded to the object store during the round of federated learning, and aggregating the local models to obtain a shared model.

Abstract: A system may include a nested probabilistic data structure that contains nested tables, each table having electronic records associated with different hash functions. A data analytics engine may receive information about a detected action, including action characteristics. In response to the detected action, insertions are executed into the nested probabilistic data structure at multiple levels based on the action characteristics (each insertion incrementing an entry in the data structure selected using the hash functions). The engine then continues to monitor for detected actions. Upon receipt of a query associated with the monitored action (including a query type), a key and level of nesting associated with the query is determined based on the query type. The hash functions are executed on the determined key to retrieve a value from each electronic record in an appropriate nested table, and a minimum of the retrieved values is output in response to the query.

Abstract: The disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that utilize a variety of machine learning models and a base limit value model to generate user interface elements that transparently and efficiently present current and future base limit values for user accounts. For example, the disclosed systems can select from between multiple activity machine learning models and utilize the selected activity machine learning model with user activity data to determine an activity score. Then, the disclosed systems can determine a base limit value using a base limit value model that includes relations between activity scores and various user activity conditions. Additionally, the disclosed systems can generate user interface elements within a graphical user interface to display the determined base limit value, a subsequent base limit value, and user activity conditions to achieve the subsequent base limit value within a graphical user interface.

Abstract: Provided is a method for virtually executing an operation of an energy dispersive x-ray spectrometry (EDS) system in real time production line by analyzing a defect included in a material undergoing inspection based on computer vision, the method including receiving a scanning electron microscope (SEM) image of the material including the defect, extracting an image-feature from the SEM image of the material, classifying the extracted image-feature under a predetermined label, predicting, based on the classified image-feature, an element associated with the defect included in the material and a shape of the predicted element, and grading the defect included in the material based on comparing the predicted element with a predetermined criteria.

Abstract: A computing system that identifies a media stream that a media client is processing for presentation determines which frame format of the media stream the media client is processing for presentation. And the computing system uses that determined frame format as a basis to facilitate dynamic content modification. For instance, based on then determined frame format, the computing system could work to ensure that replacement or overlay content that the media client obtains to facilitate dynamic content modification of the media stream is of that determined frame format. Further or alternatively, based on the determined frame format, the computing system could work to ensure that the media client gets provisioned with reference fingerprints of that particular frame format of the media stream, for use to facilitate client-side fingerprint matching to confirm that the media stream continues to be identified media stream.