Abstract: A method includes identifying a sequence of transformations to be performed on an input dataset via a user interface. The method also includes identifying a first context associated with the input dataset. The method further includes selecting a first one of multiple execution engines to be used to perform the sequence of transformations on the input dataset based on the first context. In addition, the method includes providing first code implementing the sequence of transformations to the first execution engine and executing the first code using the first execution engine to perform the sequence of transformations on the input dataset.

Abstract: A method includes obtaining a first data model from a data exploration phase performed in a first environment, where the first data model includes first metadata. The method also includes obtaining a second data model from the data exploration phase performed in a second environment different from the first environment, where the second data model includes second metadata. The method further includes generating a third data model including one or more software artifacts using the first metadata and the second metadata. Each of the one or more software artifacts is configured as one or more files that are configured for execution of at least one artificial intelligence (AI)/machine learning (ML) application.

Abstract: A digitally stored map can indicate the signal quality for each of the map's regions. A device can determine its location, speed, and direction using global positioning system (GPS) and other sensors. Based on this information, the mobile device can predict a field of locations within which the device will probably be located within a specified future time frame. Based on both the information indicating signal quality and the probable future field of locations, the device can estimate a moment at which the device will probably begin to suffer from low-quality or absent signal. Using this prediction, the device can proactively perform a variety of anticipatory remedial actions. For example, the device can begin allocating a greater portion of currently available wireless network communication bandwidth to the reception of data packets that represent content that is being streamed to the device, so that the device can proactively buffer those packets.

Abstract: A digitally stored map can indicate the signal quality for each of the map's regions. A device can determine its location, speed, and direction using global positioning system (GPS) and other sensors. Based on this information, the mobile device can predict a field of locations within which the device will probably be located within a specified future time frame. Based on both the information indicating signal quality and the probable future field of locations, the device can estimate a moment at which the device will probably begin to suffer from low-quality or absent signal. Using this prediction, the device can proactively perform a variety of anticipatory remedial actions. For example, the device can begin allocating a greater portion of currently available wireless network communication bandwidth to the reception of data packets that represent content that is being streamed to the device, so that the device can proactively buffer those packets.

Abstract: A digitally stored map can indicate the signal quality for each of the map's regions. A device can determine its location, speed, and direction using global positioning system (GPS) and other sensors. Based on this information, the mobile device can predict a field of locations within which the device will probably be located within a specified future time frame. Based on both the information indicating signal quality and the probable future field of locations, the device can estimate a moment at which the device will probably begin to suffer from low-quality or absent signal. Using this prediction, the device can proactively perform a variety of anticipatory remedial actions. For example, the device can begin allocating a greater portion of currently available wireless network communication bandwidth to the reception of data packets that represent content that is being streamed to the device, so that the device can proactively buffer those packets.

Abstract: A digitally stored map can indicate the signal quality for each of the map's regions. A device can determine its location, speed, and direction using global positioning system (GPS) and other sensors. Based on this information, the mobile device can predict a field of locations within which the device will probably be located within a specified future time frame. Based on both the information indicating signal quality and the probable future field of locations, the device can estimate a moment at which the device will probably begin to suffer from low-quality or absent signal. Using this prediction, the device can proactively perform a variety of anticipatory remedial actions. For example, the device can begin allocating a greater portion of currently available wireless network communication bandwidth to the reception of data packets that represent content that is being streamed to the device, so that the device can proactively buffer those packets.

Abstract: The disclosed embodiments provide a system that processes incoming network packets to an electronic device. The system includes an analysis apparatus that maintains a list of accepted incoming packet attributes for the electronic device based on outgoing packets from the electronic device. The system also includes a filtering apparatus that compares a first set of header information for an incoming packet to the list. If the first set of header information is not included in the list, the filtering apparatus discards the incoming packet. If the first set of header information is included in the list, the filtering apparatus enables subsequent processing of the incoming packet on the electronic device by, for example, providing the incoming packet to a transport-layer mechanism on the electronic device for subsequent processing of the incoming packet by the transport-layer mechanism.

Abstract: A digitally stored map can indicate the signal quality for each of the map's regions. A device can determine its location, speed, and direction using global positioning system (GPS) and other sensors. Based on this information, the mobile device can predict a field of locations within which the device will probably be located within a specified future time frame. Based on both the information indicating signal quality and the probable future field of locations, the device can estimate a moment at which the device will probably begin to suffer from low-quality or absent signal. Using this prediction, the device can proactively perform a variety of anticipatory remedial actions. For example, the device can begin allocating a greater portion of currently available wireless network communication bandwidth to the reception of data packets that represent content that is being streamed to the device, so that the device can proactively buffer those packets.

Abstract: A digitally stored map can indicate the signal quality for each of the map's regions. A device can determine its location, speed, and direction using global positioning system (GPS) and other sensors. Based on this information, the mobile device can predict a field of locations within which the device will probably be located within a specified future time frame. Based on both the information indicating signal quality and the probable future field of locations, the device can estimate a moment at which the device will probably begin to suffer from low-quality or absent signal. Using this prediction, the device can proactively perform a variety of anticipatory remedial actions. For example, the device can begin allocating a greater portion of currently available wireless network communication bandwidth to the reception of data packets that represent content that is being streamed to the device, so that the device can proactively buffer those packets.

Abstract: The disclosed embodiments provide a system that processes incoming network packets to an electronic device. The system includes an analysis apparatus that maintains a list of accepted incoming packet attributes for the electronic device based on outgoing packets from the electronic device. The system also includes a management apparatus that uses the list to classify an incoming packet to the electronic device as a solicited incoming packet or an unsolicited incoming packet. If the incoming packet is classified as the solicited incoming packet, the management apparatus enables subsequent processing of the incoming packet on the electronic device. If the incoming packet is classified as the unsolicited incoming packet, the management apparatus adjusts a triggering of radio dormancy in the electronic device based on the incoming packet.

Abstract: A digitally stored map can indicate the signal quality for each of the map's regions. A device can determine its location, speed, and direction using global positioning system (GPS) and other sensors. Based on this information, the mobile device can predict a field of locations within which the device will probably be located within a specified future time frame. Based on both the information indicating signal quality and the probable future field of locations, the device can estimate a moment at which the device will probably begin to suffer from low-quality or absent signal. Using this prediction, the device can proactively perform a variety of anticipatory remedial actions. For example, the device can begin allocating a greater portion of currently available wireless network communication bandwidth to the reception of data packets that represent content that is being streamed to the device, so that the device can proactively buffer those packets.

Abstract: A digitally stored map can indicate the signal quality for each of the map's regions. A device can determine its location, speed, and direction using global positioning system (GPS) and other sensors. Based on this information, the mobile device can predict a field of locations within which the device will probably be located within a specified future time frame. Based on both the information indicating signal quality and the probable future field of locations, the device can estimate a moment at which the device will probably begin to suffer from low-quality or absent signal. Using this prediction, the device can proactively perform a variety of anticipatory remedial actions. For example, the device can begin allocating a greater portion of currently available wireless network communication bandwidth to the reception of data packets that represent content that is being streamed to the device, so that the device can proactively buffer those packets.

Abstract: A digitally stored map can indicate the signal quality for each of the map's regions. A device can determine its location, speed, and direction using global positioning system (GPS) and other sensors. Based on this information, the mobile device can predict a field of locations within which the device will probably be located within a specified future time frame. Based on both the information indicating signal quality and the probable future field of locations, the device can estimate a moment at which the device will probably begin to suffer from low-quality or absent signal. Using this prediction, the device can proactively perform a variety of anticipatory remedial actions. For example, the device can begin allocating a greater portion of currently available wireless network communication bandwidth to the reception of data packets that represent content that is being streamed to the device, so that the device can proactively buffer those packets.

Abstract: A mobile computing device comprises a memory, a processor and a transceiver. The memory is configured to store at least one type of position assist data. The processor is configured to provide a position fix based on the position assist data. The transceiver is configured for wireless communication. The memory is configured to store updated position assist data for the type of position assist data. The processor is operable in a first operating mode in which the type of position assist data is not updated and operable in a second operating mode in which the type of position assist data is updated in response to at least one triggering event.

Abstract: A method and apparatus for packet classification and prioritization using a user datagram protocol (UDP) header in a mobile wireless device. The mobile wireless device includes an application processor and a transceiver. The application processor sets a value of a field embedded in a higher layer packet and transfers the higher layer packet to the transceiver. The transceiver receives the higher layer packet from the application processor and reads the set value of the embedded field. The transceiver clears the value in the embedded field and creates at least one lower layer protocol data unit from the higher layer packet. The transceiver maps the lower layer protocol data unit to a wireless access channel having a transmission property based on the read value of the embedded field. In representative embodiments, the embedded field is an optional checksum in a UDP header.

Abstract: A digitally stored map can indicate the signal quality for each of the map's regions. A device can determine its location, speed, and direction using global positioning system (GPS) and other sensors. Based on this information, the mobile device can predict a field of locations within which the device will probably be located within a specified future time frame. Based on both the information indicating signal quality and the probable future field of locations, the device can estimate a moment at which the device will probably begin to suffer from low-quality or absent signal. Using this prediction, the device can proactively perform a variety of anticipatory remedial actions. For example, the device can begin allocating a greater portion of currently available wireless network communication bandwidth to the reception of data packets that represent content that is being streamed to the device, so that the device can proactively buffer those packets.

Abstract: A digitally stored map can indicate the signal quality for each of the map's regions. A device can determine its location, speed, and direction using global positioning system (GPS) and other sensors. Based on this information, the mobile device can predict a field of locations within which the device will probably be located within a specified future time frame. Based on both the information indicating signal quality and the probable future field of locations, the device can estimate a moment at which the device will probably begin to suffer from low-quality or absent signal. Using this prediction, the device can proactively perform a variety of anticipatory remedial actions. For example, the device can begin allocating a greater portion of currently available wireless network communication bandwidth to the reception of data packets that represent content that is being streamed to the device, so that the device can proactively buffer those packets.

Abstract: Methods, program products, and systems of over-the-air device configuration are disclosed. In general, in one aspect, a mobile device can determine, in an application subsystem of the mobile device, that the mobile device requests an initial setup. The application subsystem can send a request to a baseband subsystem of the mobile device. The request can include an indicator specifying that the baseband subsystem is to operate in a service configuration mode. The mobile device can request the configuration information from a registration server using the baseband subsystem that operates under the service configuration mode. Requesting the configuration information from the server can include connecting to the server over the air using a cellular network, through a specified carrier and under a specified data transfer cap. The mobile device can then configure the mobile device using configuration information received from the server.

Abstract: The disclosed embodiments provide a system that processes incoming network packets to an electronic device. The system includes an analysis apparatus that maintains a list of accepted incoming packet attributes for the electronic device based on outgoing packets from the electronic device. The system also includes a filtering apparatus that compares a first set of header information for an incoming packet to the list. If the first set of header information is not included in the list, the filtering apparatus discards the incoming packet. If the first set of header information is included in the list, the filtering apparatus enables subsequent processing of the incoming packet on the electronic device by, for example, providing the incoming packet to a transport-layer mechanism on the electronic device for subsequent processing of the incoming packet by the transport-layer mechanism.

Abstract: The disclosed embodiments provide a system that processes incoming network packets to an electronic device. The system includes an analysis apparatus that maintains a list of accepted incoming packet attributes for the electronic device based on outgoing packets from the electronic device. The system also includes a management apparatus that uses the list to classify an incoming packet to the electronic device as a solicited incoming packet or an unsolicited incoming packet. If the incoming packet is classified as the solicited incoming packet, the management apparatus enables subsequent processing of the incoming packet on the electronic device. If the incoming packet is classified as the unsolicited incoming packet, the management apparatus adjusts a triggering of radio dormancy in the electronic device based on the incoming packet.