Abstract: Embodiments relate to tenant-side detection and mitigation of performance degradation resulting from interference generated by a noisy neighbor in a distributed computing environment. A first machine-learning model such as a k-means nearest neighbor classifier is operated by a tenant to detect an anomaly with a computer system emulator resulting from a co-located noisy neighbor. A second machine-learning model such as a multi-class classifier is operated by the tenant to identify a contended resource associated with the anomaly. A corresponding trigger signal is generated and provided to trigger various mitigation responses, including an application/framework-specific mitigation strategy (e.g., triggered approximations in application/framework performance, best-efforts paths, run-time changes, etc.), load-balancing, scaling out, updates to a scheduler to avoid impacted nodes, and the like. In this manner, a tenant can detect, classify, and mitigate performance degradation resulting from a noisy neighbor.

Abstract: A network system is provided that enables a user to record media in connection with a user operating a service application to participate in a transport service. In examples, the network system includes a user computing device on which media is recorded and stored in an unrenderable state. The user can elect to make a media recording submission for a particular service activity (e.g., trip provided or received by user). In response to the media recording submission, the user computing device identifies one or more media files that contain media data which depict the service activity. The identified media files are transmitted to a service computing system where the media files can be rendered.

Abstract: System and computer-implemented method for managing multi-availability zone (AZ) clusters of host computers in a cloud computing environment automatically detects a degraded state of a first AZ in the cloud computing environment based on host failure events for host computers in a first cluster section of a multi-AZ cluster of host computers located in the first AZ and a recovered state of the first AZ based a successful scale-in operation of another multi-AZ cluster located partially in the first AZ. In response to the detection of the degraded state of the first AZ, a second cluster section of the multi-AZ cluster of host computers located in a second AZ is scaled out. In response to the detection of the recovered state of the first AZ, the second cluster section of the multi-AZ cluster of host computers located in the second AZ is scaled in.

Abstract: A network system enables a user to record media in connection with a user operating a service application to participate in a transport service. In examples, the network system includes a user computing device on which media is recorded and stored in an unrenderable state. The user can elect to make a media recording submission for a particular service activity (e.g., trip provided or received by user). In response to the media recording submission, the user computing device identifies one or more media files that contain media data which depict the service activity. The identified media foes are transmitted to a service computing system where the media files can be rendered.

Abstract: This disclosure relates to time sensitive processing of TCP segments into application layer messages in FPGA. Certain applications such as “stock market” or “ticket booking system” require a time sensitive ordering of the transaction, as the timing of arrival of transaction (packet) will impact the result, wherein the time sensitive ordering occurs when a first packet reaching the application network is processed first or the processing of packets by the server is guaranteed in the order of packets received. However, the existing systems do not honor the time due to the layered network stack. The disclosure is a design and implementation of a middleware framework on FPGA platform which delivers messages to the application in the order in which they arrive. The disclosure enables time sensitive analysis of each message of the TCP segment based on the session-based information to re-assemble the plurality of messages in a time-sensitive queue.

Abstract: A network system is provided that enables a user to record media in connection with a user operating a service application to participate in a transport service. In examples, the network system includes a user computing device on which media is recorded and stored in an unrenderable state. The user can elect to make a media recording submission for a particular service activity (e.g., trip provided or received by user). In response to the media recording submission, the user computing device identifies one or more media files that contain media data which depict the service activity. The identified media files are transmitted to a service computing system where the media files can be rendered.

Abstract: System and computer-implemented method for managing multi-availability zone (AZ) clusters of host computers in a cloud computing environment automatically detects a degraded state of a first AZ in the cloud computing environment based on host failure events for host computers in a first cluster section of a multi-AZ cluster of host computers located in the first AZ and a recovered state of the first AZ based a successful scale-in operation of another multi-AZ cluster located partially in the first AZ. In response to the detection of the degraded state of the first AZ, a second cluster section of the multi-AZ cluster of host computers located in a second AZ is scaled out. In response to the detection of the recovered state of the first AZ, the second cluster section of the multi-AZ cluster of host computers located in the second AZ is scaled in.

Abstract: A method and system of a low-latency FPGA framework based on reliable UDP and TCP re-assembly middleware is disclosed. The need for low-latency communication in digital systems has increased drastically. The disclosed FPGA framework enables low-latency communication as a hybrid framework that supports both UDP & TCP communication. As known in art, TCP provides error checking support hence making TCP more reliable as compared to UDP, while UDP is faster but not reliable. Hence the disclosed low-latency FPGA framework latency utilizes the advantage of both UDP and TCP by utilizing UDP for its speed, while switching to TCP in case of a missing sequence in UDP. Further, the disclosed system proposes a TCP re-assembly middleware architecture for processing TCP with a lower-latency, wherein the TCP re-assembly middleware is an independent middleware that is a modular and a plug-play independent middleware.

Abstract: This disclosure relates generally to a method and a system for computing using a field programmable gate array (FPGA) neuromorphic architecture. Implementing energy efficient Artificial Intelligence (AI) applications at power constrained environment/devices is challenging due to huge energy consumption during both training and inferencing. The disclosure is a FPGA architecture based neuromorphic computing platform, the basic components include a plurality of neurons and memory. The FPGA neuromorphic architecture is parameterized, parallel and modular, thus enabling improved energy/inference and Latency-Throughput. Based on values of the plurality of features of the data set, the FPGA neuromorphic architecture is generated in a modular and parallel fashion. The output of the disclosed FPGA neuromorphic architecture is the plurality of output spikes from the neuron, which becomes the basis of inference for computing.

Abstract: System and computer-implemented method for managing multi-availability zone (AZ) clusters of host computers in a cloud computing environment automatically detects a degraded state of a first AZ in the cloud computing environment based on host failure events for host computers in a first cluster section of a multi-AZ cluster of host computers located in the first AZ and a recovered state of the first AZ based a successful scale-in operation of another multi-AZ cluster located partially in the first AZ. In response to the detection of the degraded state of the first AZ, a second cluster section of the multi-AZ cluster of host computers located in a second AZ is scaled out. In response to the detection of the recovered state of the first AZ, the second cluster section of the multi-AZ cluster of host computers located in the second AZ is scaled in.

Abstract: A method and system of a re-assembly middleware in FPGA for processing TCP segments into application layer messages is disclosed. In recent years, the communication speed in digital systems has increased drastically and thus has brought in a growing need to ensure a good/high performance from the FPGA services. The disclosure proposes a re-assembly middleware in the FPGA for processing TCP segments into application layer messages at a pre-defined frequency for a good/high performance. The pre-defined frequency is a high frequency performance feature of the re-assembly middleware, wherein the FPGA's implementation frequency is at atleast 300 MHz based on a memory optimization technique. The memory optimization technique includes several strategies such registering an output and slicing memories.

Abstract: This specification describes a computer-implemented method of generating speech audio for use in a video game, wherein the speech audio is generated using a voice convertor that has been trained to convert audio data for a source speaker into audio data for a target speaker. The method comprises receiving: (i) source speech audio, and (ii) a target speaker identifier. The source speech audio comprises speech content in the voice of a source speaker. Source acoustic features are determined for the source speech audio. A target speaker embedding associated with the target speaker identifier is generated as output of a speaker encoder of the voice convertor. The target speaker embedding and the source acoustic features are inputted into an acoustic feature encoder of the voice convertor. One or more acoustic feature encodings are generated as output of the acoustic feature encoder. The one or more acoustic feature encodings are derived from the target speaker embedding and the source acoustic features.

Abstract: A network system is provided that enables a user to record media in connection with a user operating a service application to participate in a transport service. In examples, the network system includes a user computing device on which media is recorded and stored in an unrenderable state. The user can elect to make a media recording submission for a particular service activity (e.g., trip provided or received by user). In response to the media recording submission, the user computing device identifies one or more media files that contain media data which depict the service activity. The identified media files are transmitted to a service computing system where the media files can be rendered.

Abstract: A network system is provided that enables a user to record media in connection with a user operating a service application to participate in a transport service. In examples, the network system includes a user computing device on which media is recorded and stored in an unrenderable state. The user can elect to make a media recording submission for a particular service activity (e.g., trip provided or received by user). In response to the media recording submission, the user computing device identifies one or more media files that contain media data which depict the service activity. The identified media files are transmitted to a service computing system where the media files can be rendered.

Abstract: The present disclosure describes systems and methods for a privacy sensitive computing system. One or more embodiments provide a protected computing environment, a code authorization unit, and a data aggregation unit. For example, some embodiments of the privacy sensitive computing system may train unsupervised or self-supervised ML models on user-generated assets subject to privacy considerations that mandate those assets are not viewed directly by human eyes.

Abstract: A method and system of a low-latency FPGA framework based on reliable UDP and TCP re-assembly middleware is disclosed. The need for low-latency communication in digital systems has increased drastically. The disclosed FPGA framework enables low-latency communication as a hybrid framework that supports both UDP & TCP communication. As known in art, TCP provides error checking support hence making TCP more reliable as compared to UDP, while UDP is faster but not reliable. Hence the disclosed low-latency FPGA framework latency utilizes the advantage of both UDP and TCP by utilizing UDP for its speed, while switching to TCP in case of a missing sequence in UDP. Further, the disclosed system proposes a TCP re-assembly middleware architecture for processing TCP with a lower-latency, wherein the TCP re-assembly middleware is an independent middleware that is a modular and a plug-play independent middleware.

Abstract: A method and system of a re-assembly middleware in FPGA for processing TCP segments into application layer messages is disclosed. In recent years, the communication speed in digital systems has increased drastically and thus has brought in a growing need to ensure a good/high performance from the FPGA services. The disclosure proposes a re-assembly middleware in the FPGA for processing TCP segments into application layer messages at a pre-defined frequency for a good/high performance. The pre-defined frequency is a high frequency performance feature of the re-assembly middleware, wherein the FPGA's implementation frequency is at atleast 300 MHz based on a memory optimization technique. The memory optimization technique includes several strategies such registering an output and slicing memories.

Abstract: A system for use in video game development to generate expressive speech audio comprises a user interface configured to receive user-input text data and a user selection of a speech style. The system includes a machine-learned synthesizer comprising a text encoder, a speech style encoder and a decoder. The machine-learned synthesizer is configured to generate one or more text encodings derived from the user-input text data, using the text encoder of the machine-learned synthesizer; generate a speech style encoding by processing a set of speech style features associated with the selected speech style using the speech style encoder of the machine-learned synthesizer; combine the one or more text encodings and the speech style encoding to generate one or more combined encodings; and decode the one or more combined encodings with the decoder of the machine-learned synthesizer to generate predicted acoustic features.

Abstract: Therapeutic compounds containing a phenyl core and amide link(s). Also described are pharmaceutical compositions incorporating the therapeutic compounds and a method for treating cancer with the compounds. These compounds are cytotoxic to stomach, colon, breast, and leukemia cancer cell lines via dual inhibition of Src kinases and tubulin.

Abstract: Therapeutic compounds containing a phenyl core and amide link(s). Also described are pharmaceutical compositions incorporating the therapeutic compounds and a method for treating cancer with the compounds. These compounds are cytotoxic to stomach, colon, breast, and leukemia cancer cell lines via dual inhibition of Src kinases and tubulin.