Abstract: Disclosed embodiments relate to instructions for fused multiply-add (FMA) operations with variable-precision inputs. In one example, a processor to execute an asymmetric FMA instruction includes fetch circuitry to fetch an FMA instruction having fields to specify an opcode, a destination, and first and second source vectors having first and second widths, respectively, decode circuitry to decode the fetched FMA instruction, and a single instruction multiple data (SIMD) execution circuit to process as many elements of the second source vector as fit into an SIMD lane width by multiplying each element by a corresponding element of the first source vector, and accumulating a resulting product with previous contents of the destination, wherein the SIMD lane width is one of 16 bits, 32 bits, and 64 bits, the first width is one of 4 bits and 8 bits, and the second width is one of 1 bit, 2 bits, and 4 bits.

Abstract: Multimodal techniques are described for classifying start pages and document types of an unstructured document image package. To that end, some implementations of the disclosure relate to a method, including: obtaining a document image file including multiple pages and multiple document types; generating, for each page of the multiple pages, using multiple independent trained models, multiple independent predictions, each of the multiple independent predictions indicating: whether or not the page is a first page of a document, or a document type of the multiple document types that the page corresponds to; and generating, for each page of the multiple pages, based on the multiple independent predictions, using a neural network, a final prediction output indicating whether or not the page is the first page of a document, or one of the multiple document types that the page corresponds to.

Abstract: Upon determining a mobile object is approaching an ice layer above a body of water, a thermal image of the ice layer is obtained. The thermal image and ambient temperature data are input to a neural network that outputs a plurality of regions of the ice layer and respective estimated thicknesses for the regions. A classification for each region is determined based on its estimated thickness and the mobile object. The classification is one of preferred or nonpreferred. The classifications for the regions are output.

Abstract: At least some embodiments are directed to an exemplary computer-based electronic activity tracking system that detects activity patterns receiving data values that represent at least one electronic activity. The exemplary electronic activity tracking system includes a detector of unsecure electronic activities that identifies electronic activity patterns performed by a user or non-person entity. The detector of unsecure electronic activities utilizes unsupervised machine learning techniques to detect the electronic activity patterns. The detected electronic activity patterns correspond to unsecure or malicious electronic activities. The electronic activity tracking system outputs notifications indicative of identified unsecure or malicious activity patterns and identifies entities associated with such unsecure or malicious activity patterns. The exemplary electronic activity tracking system implements a graphical user interface operated from a client computing device.

Abstract: In order to display driving assistance images to a driver in a vehicle, visible light images are captured using a visible light camera mounted for viewing a roadway on which the vehicle travels and infrared images overlapping with the visible light images are captured using an infrared camera mounted for viewing the roadway. The visible light images are normally displayed on a display screen when a visible light brightness around the vehicle is greater than a brightness threshold. Trigger conditions are monitored which are indicative of limitations of a driver visibility when directly viewing the roadway. The trigger conditions include a driver reaction. The monitored trigger condition is classified according to a plurality of predetermined classifications which indicate an occurrence of an impairment event. The infrared images are selected for display on the display screen upon occurrence of the impairment event.

Abstract: In order to display driving assistance images to a driver in a vehicle, visible light images are captured using a visible light camera mounted for viewing a roadway on which the vehicle travels and infrared images overlapping with the visible light images are captured using an infrared camera mounted for viewing the roadway. The visible light images are normally displayed on a display screen when a visible light brightness around the vehicle is greater than a brightness threshold. Trigger conditions are monitored which are indicative of limitations of a driver visibility when directly viewing the roadway. The trigger conditions include a driver reaction. The monitored trigger condition is classified according to a plurality of predetermined classifications which indicate an occurrence of an impairment event. The infrared images are selected for display on the display screen upon occurrence of the impairment event.

Abstract: At least some embodiments are directed to an exemplary computer-based electronic activity tracking system that detects activity patterns receiving data values that represent at least one electronic activity. The exemplary electronic activity tracking system includes a detector of unsecure electronic activities that identifies electronic activity patterns performed by a user or non-person entity. The detector of unsecure electronic activities utilizes unsupervised machine learning techniques to detect the electronic activity patterns. The detected electronic activity patterns correspond to unsecure or malicious electronic activities. The electronic activity tracking system outputs notifications indicative of identified unsecure or malicious activity patterns and identifies entities associated with such unsecure or malicious activity patterns. The exemplary electronic activity tracking system implements a graphical user interface operated from a client computing device.

Abstract: At least some embodiments are directed to an exemplary computer-based electronic activity tracking system that detects activity patterns receiving data values that represent at least one electronic activity. The exemplary electronic activity tracking system includes a detector of unsecure electronic activities that identifies electronic activity patterns performed by a user or non-person entity. The detector of unsecure electronic activities utilizes unsupervised machine learning techniques to detect the electronic activity patterns. The detected electronic activity patterns correspond to unsecure or malicious electronic activities. The electronic activity tracking system outputs notifications indicative of identified unsecure or malicious activity patterns and identifies entities associated with such unsecure or malicious activity patterns. The exemplary electronic activity tracking system implements a graphical user interface operated from a client computing device.

Abstract: A vehicle includes one or more vehicle-exterior displays and a processor. The vehicle receives indication of a second proximate vehicle, the indication including viewing preferences for an occupant of the second proximate vehicle. The vehicle selects content for display on at least one of the vehicle-exterior displays and selects at least one display having an exterior orientation determined to be viewable based on a heading of the second proximate vehicle. The vehicle then displays the selected content on the selected display.

Abstract: A vehicle includes one or more vehicle-exterior displays and a processor. The vehicle receives indication of a second proximate vehicle, the indication including viewing preferences for an occupant of the second proximate vehicle. The vehicle selects content for display on at least one of the vehicle-exterior displays and selects at least one display having an exterior orientation determined to be viewable based on a heading of the second proximate vehicle. The vehicle then displays the selected content on the selected display.

Abstract: A vehicle includes one or more vehicle-exterior displays and a processor. The vehicle receives indication of a second proximate vehicle, the indication including viewing preferences for an occupant of the second proximate vehicle. The vehicle selects content for display on at least one of the vehicle-exterior displays and selects at least one display having an exterior orientation determined to be viewable based on a heading of the second proximate vehicle. The vehicle then displays the selected content on the selected display.

Abstract: A vehicle is described that includes a video camera configured to record video, a processor configured to process the recorded video from the video camera into hyperlapse video, and an input/output device to link the hyperlapse video with a social network associated with at least one of a driver of the vehicle and the vehicle. The processor may be configured to receive video data from the video camera and to create the hyperlapse video by reconstructing a video stream from the video data, planning a smooth path through the video stream, and rendering the video data along the smooth path into the hyperlapse video that has a faster speed and less jitter than the video stream. The hyperlapse video may be a non-native, sped-up video of the recorded video from the video camera.

Abstract: Method and apparatus are disclosed for control module activation of vehicles in a key-off state to determine driving routes. An example system includes a vehicle at a location in a key-off state. The vehicle includes a communication module to receive an activation signal and a telematic control unit. The telematic control unit is to activate upon receipt of the activation signal and determine and present a route from the location. The example system also includes a remote processor to determine the location, identify an event and an end time based upon the location, and send an activation signal based upon the end time.

Abstract: Method and apparatus are disclosed for control module activation of vehicles in a key-off state. An example system includes a vehicle at a location in a key-off state that includes a battery, a communication module, and an infotainment unit to activate and present media responsive to the communication module receiving an activation signal. The example system also includes a remote processor to determine a charge level of the battery, identify a parking duration for the location, and send the activation signal responsive to the charge level being less than a threshold associated with the parking duration.

Abstract: Method and apparatus are disclosed for control module activation to monitor vehicles in a key-off state. An example system includes a vehicle at a location in a key-off state that includes a sensor for collecting damage detection data, a camera module including a camera for collecting damage identification data, and a communication module. The example system also includes a remote processor to receive the damage detection data from the communication module and detect damage to the vehicle based upon the damage detection data. The remote processor also is to send, responsive to detecting the damage, an activation signal to activate the camera.

Abstract: Method and apparatus are disclosed for control module activation to monitor vehicles in a key-off state. An example system includes a vehicle at a location in a key-off state that includes a sensor for collecting damage detection data, a camera module including a camera for collecting damage identification data, and a communication module. The example system also includes a remote processor to receive the damage detection data from the communication module and detect damage to the vehicle based upon the damage detection data. The remote processor also is to send, responsive to detecting the damage, an activation signal to activate the camera.

Abstract: Method and apparatus are disclosed for control module activation of vehicles in a key-off state. An example system includes a vehicle at a location in a key-off state that includes a battery, a communication module, and an infotainment unit to activate and present media responsive to the communication module receiving an activation signal. The example system also includes a remote processor to determine a charge level of the battery, identify a parking duration for the location, and send the activation signal responsive to the charge level being less than a threshold associated with the parking duration.

Abstract: Method and apparatus are disclosed for control module activation of vehicles in a key-off state to determine driving routes. An example system includes a vehicle at a location in a key-off state. The vehicle includes a communication module to receive an activation signal and a telematic control unit. The telematic control unit is to activate upon receipt of the activation signal and determine and present a route from the location. The example system also includes a remote processor to determine the location, identify an event and an end time based upon the location, and send an activation signal based upon the end time.

Abstract: Method and apparatus are disclosed for monitoring tires of vehicles via personal area networks. An example vehicle includes a body, nodes spaced apart on the body, a tire, a transceiver coupled to the tire, and a tire detector. The tire detector is to determine a tire position based on wireless communication between the transceiver and the nodes, identify a duration that the tire is at the tire position, and present a warning to rotate the tire position when the duration is greater than a predetermined threshold.

Abstract: Method and apparatus are disclosed for monitoring tires of vehicles via personal area networks. An example vehicle includes a body, nodes spaced apart on the body, a tire, a transceiver coupled to the tire, and a tire detector. The tire detector is to determine a tire position based on wireless communication between the transceiver and the nodes, identify a duration that the tire is at the tire position, and present a warning to rotate the tire position when the duration is greater than a predetermined threshold.