Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve convolution efficiency of a convolution neural network (CNN) accelerator. An example hardware accelerator includes a hardware data path element (DPE) in a DPE array, the hardware DPE including an accumulator, and a multiplier coupled to the accumulator, the multiplier to multiply first inputs including an activation value and a filter coefficient value to generate a first convolution output when the hardware DPE is in a convolution mode, and a controller coupled to the DPE array, the controller to adjust the hardware DPE from the convolution mode to a pooling mode by causing at least one of the multiplier or the accumulator to generate a second convolution output based on second inputs, the second inputs including an output location value of a pool area, at least one of the first inputs different from at least one of the second inputs.

Abstract: A system for authenticating a first entity. The system comprises a storage component for storing a trained electronic-metric factor, a sensor for receiving an electronic-metric input from the first entity, an analysis component associated with a second entity for determining a first relationship between the trained electronic-metric factor and any electronic-metric input, and an authentication component for authenticating the first entity responsive to the first relationship.

Abstract: A vector processor is disclosed including a variety of variable-length instructions. Computer-implemented methods are disclosed for efficiently carrying out a variety of operations in a time-conscious, memory-efficient, and power-efficient manner. Methods for more efficiently managing a buffer by controlling the threshold based on the length of delay line instructions are disclosed. Methods for disposing multi-type and multi-size operations in hardware are disclosed. Methods for condensing look-up tables are disclosed. Methods for in-line alteration of variables are disclosed.

Abstract: A method and system to verify identity while protecting private data. To locally verify identity without requiring communication with an external database or passing personal/identity information over network connections. To create a database and/or statistical model for later use to verify identify, private information from a first media is input to a device. Private information subsequently presented via a second media is then verified locally by comparing to the private information previously captured from the first media. If the resultant correlation score is sufficiently high the private information from the first media and from the second media are determined to belong to the same individual, and the user is authenticated or a desired action is approved. In case of a low correlation score, a notification may be sent to one or more entities alerting authorities of a security breach or identity theft.

Abstract: A system for authenticating a first entity. The system comprises a storage component for storing a trained electronic-metric factor, a sensor for receiving an electronic-metric input from the first entity, an analysis component associated with a second entity for determining a first relationship between the trained electronic-metric factor and any electronic-metric input, and an authentication component for authenticating the first entity responsive to the first relationship.

Abstract: A distributed system and method to improve collaborative service across multiple sensors on various devices. According to one embodiment, multiple devices may be used to train and then utilize a common algorithm for purposes including but not limited to recognizing a source to perform some action, control, command, calculation, storage, retrieval, encryption, decryption, alerting, alarming, notifying or as in some embodiments, to authenticate. In one embodiment of the invention, devices with one or more sensors such as but not limited to microphones, acoustic arrays or audio sensors may contribute to one or more models by sending samples, features, recognition scores, and/or risk scores to each other to improve collaborative training, signal quality, recognition, synchronization, inter-device proximity location and/or fusion of recognition scores and/or risk scores.

Abstract: A method and system to verify identity while protecting private data. To locally verify identity without requiring communication with an external database or passing personal/identity information over network connections. To create a database and/or statistical model for later use to verify identify, private information from a first media is input to a device. Private information subsequently presented via a second media is then verified locally by comparing to the private information previously captured from the first media. If the resultant correlation score is sufficiently high the private information from the first media and from the second media are determined to belong to the same individual, and the user is authenticated or a desired action is approved. In case of a low correlation score, a notification may be sent to one or more entities alerting authorities of a security breach or identity theft.

Abstract: A vector processor is disclosed including a variety of variable-length instructions. Computer-implemented methods are disclosed for efficiently carrying out a variety of operations in a time-conscious, memory-efficient, and power-efficient manner. Methods for more efficiently managing a buffer by controlling the threshold based on the length of delay line instructions are disclosed. Methods for disposing multi-type and multi-size operations in hardware are disclosed. Methods for condensing look-up tables are disclosed. Methods for in-line alteration of variables are disclosed.

Abstract: A distributed system and method to improve collaborative service across multiple sensors on various devices. According to one embodiment, multiple devices may be used to train and then utilize a common algorithm for purposes including but not limited to recognizing a source to perform some action, control, command, calculation, storage, retrieval, encryption, decryption, alerting, alarming, notifying or as in some embodiments, to authenticate. In one embodiment of the invention, devices with one or more sensors such as but not limited to microphones, acoustic arrays or audio sensors may contribute to one or more models by sending samples, features, recognition scores, and/or risk scores to each other to improve collaborative training, signal quality, recognition, synchronization, inter-device proximity location and/or fusion of recognition scores and/or risk scores.

Abstract: The present invention relates to a person's personal preferences. These personal preferences are detected or determining according to several different systems and methods and based on these preferences personal services are provided to the person. Certain embodiments of the invention utilize a “so-called” smart card, including a card with EMV contacts, for determining those preferences and/or for providing services.

Abstract: A system to authenticate an entity and/or select details relative to an action or a financial account using biometric, behavior-metric, electronic-metric and/or knowledge-metric inputs. These inputs may comprise gestures, facial expressions, body movements, voice prints, sound excerpts, etc. Features are extracted from the inputs and each feature converted to a risk score, which is then translated to a representative value, such as a letter or a number, i.e., a code or PIN that represents the input. For user authentication, the code is compared with a data base of legitimate/authenticated codes. In some embodiments a user selects specific information elements, such as an account or a payment amount using one or more of a biometric, a behavior-metric, an electronic-metric and/or a knowledge-metric input.

Abstract: A vector processor is disclosed including a variety of variable-length instructions. Computer-implemented methods are disclosed for efficiently carrying out a variety of operations in a time-conscious, memory-efficient, and power-efficient manner. Methods for more efficiently managing a buffer by controlling the threshold based on the length of delay line instructions are disclosed. Methods for disposing multi-type and multi-size operations in hardware are disclosed. Methods for condensing look-up tables are disclosed. Methods for in-line alteration of variables are disclosed.

Abstract: The present invention relates to a person's personal preferences. These personal preferences are detected or determining according to several different systems and methods and based on these preferences personal services are provided to the person. Certain embodiments of the invention utilize a “so-called” smart card, including a card with EMV contacts, for determining those preferences and/or for providing services.

Abstract: The present invention relates to a person's personal preferences. These personal preferences are detected or determining according to several different systems and methods and based on these preferences personal services are provided to the person. Certain embodiments of the invention utilize a “so-called” smart card, including a card with EMV contacts, for determining those preferences and/or for providing services.

Abstract: The present invention relates to a person's personal preferences. These personal preferences are detected or determining according to several different systems and methods and based on these preferences personal services are provided to the person. Certain embodiments of the invention utilize a “so-called” smart card, including a card with EMV contacts, for determining those preferences and/or for providing services.

Abstract: A method for executing a transaction. A first processing device senses a sound, an action, or a behavior from a source and receives identification information from the source, which may be related to or a portion of the sound, action or behavior. The first processing device processes one or more of the sound, the action, and the behavior and the identification information to identify the transaction and to identify the source. Executing the transaction if the source is an authorized source.

Abstract: A system for authenticating a first entity. The system comprises a storage component for storing a trained electronic-metric factor, a sensor for receiving an electronic-metric input from the first entity, an analysis component associated with a second entity for determining a first relationship between the trained electronic-metric factor and any electronic-metric input, and an authentication component for authenticating the first entity responsive to the first relationship.

Abstract: A system and method to backup data on an entity such as a smart wallet by storing the data on a separate entity using intelligently connected personalized authentication. A first entity authenticates with two or more entities prior to data transfer, that are intelligently connected, meaning connected only when functioning to authenticate with other entities to perform the functions of data release, transfer, distribution, backup, and restoration. A primary entity holding sensitive private information (such as a smart wallet) authenticating with a second entity (such as a USB memory device on a PC), and a third entity (such as a cloud based server) before data is released or distributed to another entity. The system and method may personalize the data to the data owner by first requiring authentication of the owner.

Abstract: A distributed system and method to improve collaborative service across multiple sensors on various devices. According to one embodiment, multiple devices may be used to train and then utilize a common algorithm for purposes including but not limited to recognizing a source to perform some action, control, command, calculation, storage, retrieval, encryption, decryption, alerting, alarming, notifying or as in some embodiments, to authenticate. In one embodiment of the invention, devices with one or more sensors such as but not limited to microphones, acoustic arrays or audio sensors may contribute to one or more models by sending samples, features, recognition scores, and/or risk scores to each other to improve collaborative training, signal quality, recognition, synchronization, inter-device proximity location and/or fusion of recognition scores and/or risk scores.

Abstract: A method and system to verify identity while protecting private data. To locally verify identity without requiring communication with an external database or passing personal/identity information over network connections. To create a database and/or statistical model for later use to verify identify, private information from a first media is input to a device. Private information subsequently presented via a second media is then verified locally by comparing to the private information previously captured from the first media. If the resultant correlation score is sufficiently high the private information from the first media and from the second media are determined to belong to the same individual, and the user is authenticated or a desired action is approved. In case of a low correlation score, a notification may be sent to one or more entities alerting authorities of a security breach or identity theft.