Abstract: A captured image of a check for deposit can be received. A reference image of the check can be determined to have been provided by a payer that has written the check. If a reference image is provided, a determination can be made as to whether the captured image matches the reference image. If no reference image is provided, handwriting analysis is performed to confirm that the handwriting in the captured image matches the payer's handwriting. The handwriting analysis can be performed by a machine learning model trained with check history to produce a similarity score between the handwriting on the check and the payer's handwriting. Security controls can be activated if the score represents a mismatch of handwriting. If the score indicates a handwriting match, the check can be deposited as a transfer from the payer's account to the payee's account.

Abstract: The present invention provides a compound of formula (I) or a pharmaceutically acceptable salt thereof, pharmaceutical compositions comprising a compound of the invention, a method for manufacturing compounds of the invention and therapeutic uses thereof.

Abstract: Embodiments of the present disclosure relate to behavior planning for autonomous vehicles. The technology described herein selects a preferred trajectory for an autonomous vehicle based on an evaluation of multiple hypothetical trajectories by different components within a planning system. The various components provide an optimization score for each trajectory according to the priorities of the component and scores from multiple components may form a final optimization score. This scoring system allows the competing priorities (e.g., comfort, minimal travel time, fuel economy) of different components to be considered together. In examples, the trajectory with the best combined score may be selected for implementation. As such, an iterative approach that evaluates various factors may be used to identify an optimal or preferred trajectory for an autonomous vehicle when navigating an environment.

Abstract: Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called “context”, to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set).

Abstract: A powered ratchet includes a motor, a mounting portion, and an output member configured to rotate in response to activation of the motor. The output member defines a drive axis. The powered ratchet also includes a release mechanism configured to selectively couple an anvil to the output member. The release mechanism includes a cover coupled to the mounting portion with a track and a locking member positioned between the mounting portion and the cover and operable to slide within the track between a locked position, in which the locking member engages the anvil to secure the anvil to the output member for co-rotation therewith, and a release position, in which the locking member is disengaged from the anvil to facilitate removal of the anvil. The release mechanism also includes a biasing member biasing the locking member to the locked position.

Abstract: An apparatus and method of blind detection of binauralized audio. If the input content is detected as binaural, a second binauralization may be avoided. In this manner, the user experience avoids audio artifacts introduced by multiple binauralizations.

Abstract: An example sensor system for use with a vehicle includes a first group of sensing devices that are associated with an essential level of autonomous operation of the vehicle. The first group of sensing devices are configured and intended for continuous use while the vehicle is being autonomously operated. The sensor system further includes a second group of sensing devices that are associated with a non-essential level of autonomous operation of the vehicle. For example, the second group of sensing devices are configured to be redundant to and/or to enhance the performance of the first group of sensing devices. The second group operates in response to certain conditions being determined during autonomous operation of the vehicle. The sensor system further includes a plurality of assemblies attached to the vehicle. Each assembly includes two or more sensing devices from the first group and/or the second group.

Abstract: A method to be performed by a wireless station having a wireless transceiver configured to establish a connection to a network, a processor and a non-transitory computer readable storage medium. The method includes receiving information during a first reception segment of a discontinuous reception cycle, wherein the discontinuous reception cycle includes the first reception segment and a first idle segment, performing a first measurement that begins during the first reception segment and performing a second measurement, wherein the second measurement begins prior to an end of the first measurement.

Abstract: A method to be performed by a wireless station having a wireless transceiver configured to establish a connection to a network, a processor and a non-transitory computer readable storage medium. The method includes receiving information during a first reception segment of a discontinuous reception cycle, wherein the discontinuous reception cycle includes the first reception segment and a first idle segment, performing a first measurement that begins during the first reception segment and performing a second measurement, wherein the second measurement begins prior to an end of the first measurement.