Abstract: A method comprises generating a map of relationships between functions, statements and data structures in identified code by traversing a syntax tree for the identified code, the syntax tree for the identified code includes a hierarchy of nodes, each node comprising at least one identifying name; modifying nodes of the syntax tree of the identified node by truncating code unrelated to the code generation task to generate a modified syntax tree for the identified code; adding to the modified syntax tree, for each modified node, a new node indicating that the modified node is truncated, and traversing the at least one modified syntax tree to generate a second code that is shorter than at least one identified code. The method also includes providing the generated second code, the at least one modified syntax tree, and the code generation task as input to a language model to generate output code.

Abstract: In one aspect, a method of determining a location of a user within an indoor space, includes emitting a radiofrequency signal into the indoor space, receiving backscattered training radiofrequency signals, including multipath, for at least one location within the indoor space, converting the received training signals into a point cloud for each location of the at least one location, assigning a signature for each location based on the point cloud for each location, receiving additional radiofrequency signals, including multipath, converting the additional radiofrequency signals into an additional point cloud, and determining a location of the user by comparing the additional point cloud to the assigned signatures.

Abstract: A method for a computing system includes beaming with a radar emitter from a central hub, a plurality of radar signals into an interior room, receiving with a radar receiver within the central hub, a plurality of radar reflections in response to the plurality of radar signals, processing with a processor within the central hub, the plurality of radar reflections to form a plurality of processed radar signals, determining with an AI processor within the central hub, at least one activity from a plurality of activities in response to the plurality of processed radar signals, and determining with a central processing unit within the central hub, a notification action to perform in response to the one or more activities.

Abstract: In an example, the present technique includes a method for capturing information from a spatial region to monitor human activities and create a spatial map of the spatial region. In an example, the technique allows a user of a cell phone to move from one location to another location and be tracked using rf backscattering, and each location being identified by the user by communicating a label via a cell phone or other mobile device.

Abstract: In one aspect, a method of determining a location of a user within an indoor space, includes emitting a radiofrequency signal into the indoor space, receiving backscattered training radiofrequency signals, including multipath, for at least one location within the indoor space, converting the received training signals into a point cloud for each location of the at least one location, assigning a signature for each location based on the point cloud for each location, receiving additional radiofrequency signals, including multipath, converting the additional radiofrequency signals into an additional point cloud, and determining a location of the user by comparing the additional point cloud to the assigned signatures.

Abstract: A method for a computing system includes beaming with a radar emitter from a central hub, a plurality of radar signals into an interior room, receiving with a radar receiver within the central hub, a plurality of radar reflections in response to the plurality of radar signals, processing with a processor within the central hub, the plurality of radar reflections to form a plurality of processed radar signals, determining with an AI processor within the central hub, at least one activity from a plurality of activities in response to the plurality of processed radar signals, and determining with a central processing unit within the central hub, a notification action to perform in response to the one or more activities.

Abstract: An apparatus detects and measures vital signs of each human target by a continuous, non-intrusive method. In an example, the vital signs of interest include a heart rate and a respiratory rate, which can provide valuable information about the human's wellness. Additionally, the heart rate and respiratory rate can also be used to identify a particular person, if more than two target humans are living in a home. The apparatus has a natural convection spatial flow path that draws heat from at least one processor, one fan-less radar and a heat sink.

Abstract: An apparatus detects and measures vital signs of each human target by a continuous, non-intrusive method. In an example, the vital signs of interest include a heart rate and a respiratory rate, which can provide valuable information about the human's wellness. Additionally, the heart rate and respiratory rate can also be used to identify a particular person, if more than two target humans are living in a home. The apparatus has a natural convection spatial flow path that draws heat from at least one processor, one fan-less radar and a heat sink.

Abstract: In an example, the present technique provides a method for processing signals from a human user in connection with a sleep state. Preferably, the method includes using information from the signals for digital cognitive behavioral therapy to improve a sleep state of the human user. In an example, the method generally includes sensing of human activities, processing information from such sensing, outputting a task to the user, monitoring a reaction from the user, and adjusting any one of the aforementioned, to improve a sleep state of the user.

Abstract: In an example, the present technique includes a method for capturing information from a spatial region to monitor human activities and create a spatial map of the spatial region. In an example, the technique allows a user of a cell phone to move from one location to another location and be tracked using rf backscattering, and each location being identified by the user by communicating a label via a cell phone or other mobile device.

Abstract: A method for a computing system includes beaming with a radar emitter from a central hub, a plurality of radar signals into an interior room, receiving with a radar receiver within the central hub, a plurality of radar reflections in response to the plurality of radar signals, processing with a processor within the central hub, the plurality of radar reflections to form a plurality of processed radar signals, determining with an AI processor within the central hub, at least one activity from a plurality of activities in response to the plurality of processed radar signals, and determining with a central processing unit within the central hub, a notification action to perform in response to the one or more activities.

Abstract: In an example, the present invention provides a method for identifying a status of a user and providing feedback to the user based upon the status of the user. In an example, the method includes generating an electromagnetic radio frequency (RF) signal from an RF generating device and emitting the electromagnetic RF signal into a spatial region of a user. In an example, the method includes detecting a back scattered RF signal, using an RF receiving antenna, from the user and converting the back scattered RF signal from an RF analog signal into an RF digital signal.

Abstract: In an example, the present technique provides a method for processing signals from a human user in connection with a sleep state. Preferably, the method includes using information from the signals for digital cognitive behavioral therapy to improve a sleep state of the human user. In an example, the method generally includes sensing of human activities, processing information from such sensing, outputting a task to the user, monitoring a reaction from the user, and adjusting any one of the aforementioned, to improve a sleep state of the user.

Abstract: A method for a computing system includes beaming with a radar emitter from a central hub, a plurality of radar signals into an interior room, receiving with a radar receiver within the central hub, a plurality of radar reflections in response to the plurality of radar signals, processing with a processor within the central hub, the plurality of radar reflections to form a plurality of processed radar signals, determining with an AI processor within the central hub, at least one activity from a plurality of activities in response to the plurality of processed radar signals, and determining with a central processing unit within the central hub, a notification action to perform in response to the one or more activities.

Abstract: In one aspect, a method of determining a location of a user within an indoor space, includes emitting a radiofrequency signal into the indoor space, receiving backscattered training radiofrequency signals, including multipath, for at least one location within the indoor space, converting the received training signals into a point cloud for each location of the at least one location, assigning a signature for each location based on the point cloud for each location, receiving additional radiofrequency signals, including multipath, converting the additional radiofrequency signals into an additional point cloud, and determining a location of the user by comparing the additional point cloud to the assigned signatures.

Abstract: In an example, the present invention provides a method for identifying a status of a user and providing feedback to the user based upon the status of the user. In an example, the method includes generating an electromagnetic radio frequency (RF) signal from an RF generating device and emitting the electromagnetic RF signal into a spatial region of a user. In an example, the method includes detecting a back scattered RF signal, using an RF receiving antenna, from the user and converting the back scattered RF signal from an RF analog signal into an RF digital signal.

Abstract: In one aspect, a method of determining a location of a user within an indoor space, includes emitting a radiofrequency signal into the indoor space, receiving backscattered training radiofrequency signals, including multipath, for at least one location within the indoor space, converting the received training signals into a point cloud for each location of the at least one location, assigning a signature for each location based on the point cloud for each location, receiving additional radiofrequency signals, including multipath, converting the additional radiofrequency signals into an additional point cloud, and determining a location of the user by comparing the additional point cloud to the assigned signatures.

Abstract: In an example, the technique also detects and measures vital signs of each human target by continuous, non-intrusive method. In an example, the vital signs of interest include a heart rate and a respiratory rate, which can provide valuable information about the human's wellness. Additionally, the heart rate and respiratory rate can also be used to identify a particular person, if more than two target humans living in a home. Of course, there can be other variations, modifications, and alternatives.

Abstract: In an example, the present technique includes a method for capturing information from a spatial region to monitor human activities and create a spatial map of the spatial region. In an example, the technique allows a user of a cell phone to move from one location to another location and be tracked using rf backscattering, and each location being identified by the user by communicating a label via a cell phone or other mobile device.

Abstract: In one aspect, a method of determining a location of a user within an indoor space, includes emitting a radiofrequency signal into the indoor space, receiving backscattered training radiofrequency signals, including multipath, for at least one location within the indoor space, converting the received training signals into a point cloud for each location of the at least one location, assigning a signature for each location based on the point cloud for each location, receiving additional radiofrequency signals, including multipath, converting the additional radiofrequency signals into an additional point cloud, and determining a location of the user by comparing the additional point cloud to the assigned signatures.