Abstract: Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning model to determine a particular skill and intent to recommend. The system then prompts the user to accept the recommended skill and intent. If the user accepts, the system calls the recommended skill to execute. As part of calling the skill, the system sends to the skill at least one entity provided in a natural language user input of the ended dialog session. This enables the skill to skip welcome prompts, and initiate processing to output a response based on the intent and the at least one entity of the ended dialog session.

Abstract: Technologies are shown for high granularity metric (HGM)-based control for smart contract execution. In accordance with some aspects, a function call associated with one or more methods of a smart contract on a blockchain is detected by identifying an entrance or exit of the function call in a kernel for smart contract execution on the blockchain. The function call is added to a function call stack, and one or more detected HGMs are identified in the function call stack. A comparison of the detected HGMs in the function call stack against one or more control rules is performed. Execution or completion of the function call is blocked based on the comparison.

Abstract: The present disclosure advantageously provides a method and system for transferring data over a chip-to-chip interconnect (CCI). At a request node of a coherent interconnect (CHI) of a first chip, receiving at least one peripheral component interface express (PCIe) transaction from a PCIe master device, the PCIe transaction including a stream identifier; selecting a CCI port of the CHI of the first chip based on the stream identifier of the PCIe transaction; and sending the PCIe transaction to the selected CCI port.

Abstract: Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning model to determine a particular skill and intent to recommend. The system then prompts the user to accept the recommended skill and intent. If the user accepts, the system calls the recommended skill to execute. As part of calling the skill, the system sends to the skill at least one entity provided in a natural language user input of the ended dialog session. This enables the skill to skip welcome prompts, and initiate processing to output a response based on the intent and the at least one entity of the ended dialog session.

Abstract: In various examples, lane location criteria and object class criteria may be used to determine a set of objects in an environment to track. For example, lane information, freespace information, and/or object detection information may be used to filter out or discard non-essential objects (e.g., objects that are not in an ego-lane or adjacent lanes) from objects detected using an object detection algorithm. Further, objects corresponding to non-essential object classes may be filtered out to generate a final filtered set of objects to be tracked that may be of a lower quantity than the actual number of detected objects. As a result, object tracking may only be executed on the final filtered set of objects, thereby decreasing compute requirements and runtime of the system without sacrificing object tracking accuracy and reliability with respect to more pertinent objects.

Abstract: In various examples, lane location criteria and object class criteria may be used to determine a set of objects in an environment to track. For example, lane information, freespace information, and/or object detection information may be used to filter out or discard non-essential objects (e.g., objects that are not in an ego-lane or adjacent lanes) from objects detected using an object detection algorithm. Further, objects corresponding to non-essential object classes may be filtered out to generate a final filtered set of objects to be tracked that may be of a lower quantity than the actual number of detected objects. As a result, object tracking may only be executed on the final filtered set of objects, thereby decreasing compute requirements and runtime of the system without sacrificing object tracking accuracy and reliability with respect to more pertinent objects.

Abstract: Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning model to determine a particular skill and intent to recommend. The system then prompts the user to accept the recommended skill and intent. If the user accepts, the system calls the recommended skill to execute. As part of calling the skill, the system sends to the skill at least one entity provided in a natural language user input of the ended dialog session. This enables the skill to skip welcome prompts, and initiate processing to output a response based on the intent and the at least one entity of the ended dialog session.

Abstract: Techniques for calculation of CRC values for very large Ethernet packets in a quick manner are disclosed. Portions of CRC values are calculated each frame and are combined to arrive at a final CRC value for the frame. The CRC values for each frame are also combined to arrive at the final value for the packet. The use of the zero-wheeling function allows for each CRC value calculation to be a calculation of a limited set of data (e.g., one chunk of a frame), which allows such calculations to be completed quickly.

Abstract: In various examples, lane location criteria and object class criteria may be used to determine a set of objects in an environment to track. For example, lane information, freespace information, and/or object detection information may be used to filter out or discard non-essential objects (e.g., objects that are not in an ego-lane or adjacent lanes) from objects detected using an object detection algorithm. Further, objects corresponding to non-essential object classes may be filtered out to generate a final filtered set of objects to be tracked that may be of a lower quantity than the actual number of detected objects. As a result, object tracking may only be executed on the final filtered set of objects, thereby decreasing compute requirements and runtime of the system without sacrificing object tracking accuracy and reliability with respect to more pertinent objects.

Abstract: Techniques for calculation of CRC values for very large Ethernet packets in a quick manner are disclosed. Portions of CRC values are calculated each frame and are combined to arrive at a final CRC value for the frame. The CRC values for each frame are also combined to arrive at the final value for the packet. The use of the zero-wheeling function allows for each CRC value calculation to be a calculation of a limited set of data (e.g., one chunk of a frame), which allows such calculations to be completed quickly.

Abstract: Methods and apparatuses for data transformation are disclosed. An exemplary apparatus includes a first memory, a second memory, a cross-bar switch communicatively coupled between the first memory and the second memory, and a lookup table that specifies one or more memory addresses of the first memory to read out to the cross-bar switch, one or more memory addresses of the second memory to which to write data from the cross-bar switch, and a configuration of the cross-bar switch. An exemplary method includes determining, based on a lookup table, one or more memory addresses of a first memory to read out to a cross-bar switch, determining, based on the lookup table, one or more memory addresses of a second memory to which to write data from the cross-bar switch, and determining, based on the lookup table, a configuration of the cross-bar switch.

Abstract: Methods and apparatuses for data transformation are disclosed. An exemplary apparatus includes a first memory, a second memory, a cross-bar switch communicatively coupled between the first memory and the second memory, and a lookup table that specifies one or more memory addresses of the first memory to read out to the cross-bar switch, one or more memory addresses of the second memory to which to write data from the cross-bar switch, and a configuration of the cross-bar switch. An exemplary method includes determining, based on a lookup table, one or more memory addresses of a first memory to read out to a cross-bar switch, determining, based on the lookup table, one or more memory addresses of a second memory to which to write data from the cross-bar switch, and determining, based on the lookup table, a configuration of the cross-bar switch.

Abstract: A transmitter may receive client data, associated with a client rate, to be mapped to frames associated with a server rate. The transmitter may generate justifications associated with the mapping of the client data to the frames. The transmitter may create, based on the justifications, artificial justifications that include information associated with justifications created to shape phase variations present in a recovered client clock associated with the client rate. The phase variations may be shaped based on the artificial justifications to cause shaped phase variations to be present in the recovered client clock. The shaped phase variations may include phase variations that can be filtered from the recovered client clock. The transmitter may map the client data to the frames based on the artificial justifications to cause the shaped phase variations to be present in the recovered client clock.

Abstract: A transmitter may receive client data, associated with a client rate, to be mapped to frames associated with a server rate. The transmitter may generate justifications associated with the mapping of the client data to the frames. The transmitter may create, based on the justifications, artificial justifications that include information associated with justifications created to shape phase variations present in a recovered client clock associated with the client rate. The phase variations may be shaped based on the artificial justifications to cause shaped phase variations to be present in the recovered client clock. The shaped phase variations may include phase variations that can be filtered from the recovered client clock. The transmitter may map the client data to the frames based on the artificial justifications to cause the shaped phase variations to be present in the recovered client clock.

Abstract: A method may include generating, by a device, a set of bit masks associated with locating frame alignment signal (FAS) data. The set of bit masks may be utilized by multiple framer circuits associated with identifying a start of one more frames of multiple lower order Optical channel Data Unit (ODU) flows multiplexed in a higher order ODU flow. The method may include detecting, by the device, the FAS data at a particular byte location in a particular lower order ODU flow, of the multiple lower order ODU flows, based on the set of bit masks. The method may include identifying, by the device, the start of one or more frames of the particular lower order ODU flow based on detecting the FAS data. The one or more frames may be associated with an ITU-T G.709 Optical Transport Network frame based signal.

Abstract: A method may include generating, by a device, a set of bit masks associated with locating frame alignment signal (FAS) data. The set of bit masks may be utilized by multiple framer circuits associated with identifying a start of one more frames of multiple lower order Optical channel Data Unit (ODU) flows multiplexed in a higher order ODU flow. The method may include detecting, by the device, the FAS data at a particular byte location in a particular lower order ODU flow, of the multiple lower order ODU flows, based on the set of bit masks. The method may include identifying, by the device, the start of one or more frames of the particular lower order ODU flow based on detecting the FAS data. The one or more frames may be associated with an ITU-T G.709 Optical Transport Network frame based signal.

Abstract: When a computing system is running at a lower clock rate, in response to an event that triggers the computing system to increase the clock rate, a list of threads pending execution by the computing system is accessed. The list includes a thread that, when executed, causes the clock rate to increase. That thread is selected and executed before any other thread in the list is executed.

Abstract: When a computing system is running at a lower clock rate, in response to an event that triggers the computing system to increase the clock rate, a list of threads pending execution by the computing system is accessed. The list includes a thread that, when executed, causes the clock rate to increase. That thread is selected and executed before any other thread in the list is executed.

Abstract: One embodiment provides a method to wake an electronic device having a central processing unit (CPU) from an idle condition. The method includes creating a worker queue in an interrupt-request (IRQ) driver module of the operating-system kernel of the device, receiving in the kernel an indication of user input in a form of an IRQ, and in response to receiving the indication of user input, posting a request in the worker queue to boost clock speed in the CPU. The request is then processed, causing an increase in the clock speed.

Abstract: New compounds useful in photodynamic therapy are of the formula and their 1,4-diene isomers and the metallated and/or labeled and/or conjugated forms thereof wherein each R1 is independently alkyl (1-6C); each n is independently an integer of 0-6; and R2 is vinyl or a derivative form thereof.