Abstract: Multi-level cell (MLC) static random access memory (SRAM) (MLC SRAM) cells configured to perform multiplication operations are disclosed. In one aspect, an MLC SRAM cell includes SRAM bit cells, wherein data values stored in SRAM bit cells correspond to a multiple-bit value stored in the MLC SRAM cell that serves as first operand in multiplication operation. Voltage applied to read bit line is applied to each SRAM bit cell, wherein the voltage is an analog representation of a multiple-bit value that serves as a second operand in the multiplication operation. For each SRAM bit cell, if a particular binary data value is stored, a current correlating to the voltage of the read bit line is added to a current sum line. A magnitude of current on the current sum line is an analog representation of a multiple-bit product of the first operand multiplied by the second operand.

Abstract: A harvesting system has a climbing unit with a body driven by traction wheels, a control unit, an articulated arm with a cutting implement at an extremity, a video camera focused on the cutting implement, and a computerized portable control station having a display and a user interface with inputs operable to control driving the traction wheels of the climbing unit, the articulation of the articulated arm, and the cutting implement. Video streamed in real time from the video camera is displayed on the display screen, and a user viewing the video display operates the inputs to position the cutting implement to cut a stem of a fruit or nut in the tree.

Abstract: A health-monitoring system has IoT-vitals sensing nodes joined to a patient's body, sensing vital characteristics, employing wireless transmission circuitry transmitting sensed data by a short-range network, and a local gateway having wireless circuitry receiving transmitted data from the IoT-vitals sensors, software (SW) executing on a processor from a non-transitory medium, the SW processing the transmitted data received, and transmission circuitry transmitting processed data over a long-range network.

Abstract: A method for maximizing signal strength between a land-based or moving first station and a second, moving station on a sea-going vessel is provided, comprising mounting an antenna on a structure on the moving station, the structure rotatable about a vertical axis by a mechanism powered by an electric motor, initiating a data connection between the first and the second stations by a processor in communication circuitry at the second station, reading a received signal-strength by the processor, and operating the electric motor by the processor, rotating the rotatable structure, maximizing the signal strength.

Abstract: A method of interfacing an event based processing system with a frame based processing system is presented. The method includes converting multiple events into a frame. The events may be generated from an event sensor. The method also includes inputting the frame into the frame based processing system.

Abstract: Certain aspects of the present disclosure relate to a system. In some aspects, the system may include an emitter configured to emit a light. The system may include a light guide configured to direct the light toward a pupil of an eye. The light guide may include a directing portion configured to propagate the light. The light guide may include a turning portion configured to receive light from the directing portion and direct the light toward the pupil of the eye and configured to receive reflected light directed from the pupil of the eye and direct the reflected light toward the directing portion. The system may include a receiver configured to receive the reflected light from the light guide. The system may include a processor configured to determine a gaze direction of the pupil of the eye based at least in part on the reflected light received by the receiver.

Abstract: According to one embodiment, a customer relationship management (CRM) system is queried to obtain a project that is associated with an entity (e.g., a user, a group of users, a client). A first list of one or more contacts (e.g., contact persons, referred to herein target contacts) associated with the project from the CRM system. For each of the contacts in the first list, a domain name is determined based on contact information of the contacts (e.g., emails, Web addresses, name of an account associated with the contacts). A first set of email addresses, referred to as target email addresses, is determined based on the domain name and contacts using a set of email identification rules. An email server is queried to retrieve a list of one or more emails and/or calendar events based on the first set of email addresses.

Abstract: A set of trigrams can be generated for each document in a plurality of documents processed by an e-discovery system. Each trigram in the set of trigrams for a given document is a sequence of three terms in the given document. A set of trigrams for each similar document is then determined based on the set of trigrams for the original document. To facilitate identification of the similar documents, a full text index is then generated for the plurality of documents and the set of trigrams for each document are indexed into the full text index, as individual terms. Queries can be generated into the full text index based on trigrams of a document to determine other similar or near-duplicate documents. After a set of potentially similar documents are identified, a separate distance criteria can be applied to evaluate the level of similarity between the two documents in an efficient way.

Abstract: A system for protecting data managed in a cloud-computing network from malicious data operations includes an Internet-connected server and software executing on the server from a non-transitory physical medium, the software providing a first function for generating one or more security tokens that validate one or more computing operations to be performed on the data, a second function for generating a hash for each token generated, the hash detailing, in a secure fashion, the operation type or types permitted by the one or more tokens, a third function for brokering two-party signature of the one or more tokens, and a fourth function for dynamically activating the one or more signed tokens for a specific time window required to perform the operations permitted by the token.

Abstract: A marine communication system has an on-shore base station providing a long-range network, an Internet router connecting the base station to an Internet network, a plurality of first fishing boats in a cluster, each having an onboard Access Router, and at least one second boat in the cluster equipped with Adaptive Backhaul Equipment, including a directional antenna and a backhaul transceiver capable of accessing the network provided by the base station. The access routers provide communication with communication devices used by fishermen aboard the boats, and at least one Access Router communicates with the equipment aboard the at least one second boat in the cluster, thereby providing Internet connectivity and email, voice, text and video communication through the base station and the Internet network, to the fishermen aboard the boats in the cluster.

Abstract: A request is received for determining a task completion rate of each of a first set of tasks associated with a set of task attributes. The first set of tasks are scheduled to be completed within a first timer period. An MAPE score is calculated or obtained for each of the completion rate predictive models, which is determined based on prior predictions performed in a second time period in the past. The duration of the second time period is a multiple of the first time period. One of the predictive models is selected based on the MAPE scores of the predictive models, where the selected model has the lowest MAPE score amongst the predictive models in the set. In another embodiment, a predictive model is selected further based on the volatility scores of the predictive models. A model with a combination of lowest MAPE score and volatility score is selected.

Abstract: Techniques disclosed herein utilize a vision sensor that integrates a special-purpose camera with dedicated computer vision (CV) computation hardware and a dedicated low-power microprocessor for the purposes of detecting, tracking, recognizing, and/or analyzing subjects, objects, and scenes in the view of the camera. The vision sensor processes the information retrieved from the camera using the included low-power microprocessor and sends “events” (or indications that one or more reference occurrences have occurred, and, possibly, associated data) for the main processor only when needed or as defined and configured by the application. This allows the general-purpose microprocessor (which is typically relatively high-speed and high-power to support a variety of applications) to stay in a low-power (e.g., sleep mode) most of the time as conventional, while becoming active only when events are received from the vision sensor.

Abstract: An apparatus includes a hardware sensor array including a plurality of pixels arranged along at least a first dimension and a second dimension of the array, each of the pixels capable of generating a sensor reading. A hardware scanning window array includes a plurality of storage elements arranged along at least a first dimension and a second dimension of the hardware scanning window array, each of the storage elements capable of storing a pixel value based on one or more sensor readings. Peripheral circuitry for systematically transfers pixel values, based on sensor readings, into the hardware scanning window array, to cause different windows of pixel values to be stored in the hardware scanning window array at different times. Control logic coupled to the hardware sensor array, the hardware scanning window array, and the peripheral circuitry, provides control signals to the peripheral circuitry to control the transfer of pixel values.

Abstract: An e-learning system has a classroom having a seating arrangement for students, a plurality of depth-sensing cameras, a session controller coupled to the depth-sensing cameras, executing software from a non-transitory medium, a presenter station, and a plurality of augmented-reality headsets, one each associated with each of the seats in the fixed-seating arrangement, and one associated with the presenter station. The software operates in one of an instruction mode, an interaction mode, and a discussion mode. The viewpoints and audio feeds to all of the headsets are controlled such that the students directly interacting see and hear one another directly, and the remainder of the headsets see and hear one or the other of the directly-engaged students according to which student is speaking.

Abstract: An apparatus includes a hardware sensor array including a plurality of pixels arranged along at least a first dimension and a second dimension of the array, each of the pixels capable of generating a sensor reading. A hardware scanning window array includes a plurality of storage elements arranged along at least a first dimension and a second dimension of the hardware scanning window array, each of the storage elements capable of storing a pixel value based on one or more sensor readings. Peripheral circuitry for systematically transfers pixel values, based on sensor readings, into the hardware scanning window array, to cause different windows of pixel values to be stored in the hardware scanning window array at different times. Control logic coupled to the hardware sensor array, the hardware scanning window array, and the peripheral circuitry, provides control signals to the peripheral circuitry to control the transfer of pixel values.

Abstract: A method of event-based down sampling includes receiving multiple sensor events corresponding to addresses and time stamps. The method further includes spatially down sampling the addresses based on the time stamps and the addresses. The method may also include updating a pixel value for each of the multiple sensor events based on the down sampling.

Abstract: Methods, systems, computer-readable media, and apparatuses for image processing and utilization are presented. In some embodiments, an image containing at a face of a user may be obtained using a mobile device. An orientation of the face of the user within the image may be determined using the mobile device. The orientation of the face of the user may be determined using multiple stages: (a) a rotation stage for controlling a rotation applied to a portion of the image, to generate a portion of rotated image, and (b) an orientation stage for controlling an orientation applied to orientation-specific feature detection performed on the portion of rotated image. The determined orientation of the face of the user may be utilized as a control input to modify a display rotation of the mobile device.

Abstract: Techniques disclosed herein utilize a vision sensor that integrates a special-purpose camera with dedicated computer vision (CV) computation hardware and a dedicated low-power microprocessor for the purposes of detecting, tracking, recognizing, and/or analyzing subjects, objects, and scenes in the view of the camera. The vision sensor processes the information retrieved from the camera using the included low-power microprocessor and sends “events” (or indications that one or more reference occurrences have occurred, and, possibly, associated data) for the main processor only when needed or as defined and configured by the application. This allows the general-purpose microprocessor (which is typically relatively high-speed and high-power to support a variety of applications) to stay in a low-power (e.g., sleep mode) most of the time as conventional, while becoming active only when events are received from the vision sensor.

Abstract: Techniques disclosed herein utilize a vision sensor that integrates a special-purpose camera with dedicated computer vision (CV) computation hardware and a dedicated low-power microprocessor for the purposes of detecting, tracking, recognizing, and/or analyzing subjects, objects, and scenes in the view of the camera. The vision sensor processes the information retrieved from the camera using the included low-power microprocessor and sends “events” (or indications that one or more reference occurrences have occurred, and, possibly, associated data) for the main processor only when needed or as defined and configured by the application. This allows the general-purpose microprocessor (which is typically relatively high-speed and high-power to support a variety of applications) to stay in a low-power (e.g., sleep mode) most of the time as conventional, while becoming active only when events are received from the vision sensor.

Abstract: An e-learning system has a local classroom comprising a local student station and an instructor station, such that local students at the local student station and an instructor at the instructor station face each other directly along a first viewing line, a plurality of remote classrooms each having a student station, video cameras in each of the remote classrooms positioned and oriented to capture video images of subjects, video displays in the local classroom arranged along a line orthogonal to the first viewing line and all facing the local student station, in sets of at least two displays, arranged vertically one above another, each first set of at least two displays dedicated to one of the remote classrooms, a second plurality of video displays like the first, but facing the instructor, connection apparatus between classrooms, a server coordinating video feeds with displays.