Abstract: A method includes generating a multimedia content result using a streaming multimodal video generation model, including creating prompt text based on one or more user preferences, generating image frames based on the prompt text, compiling the image frames into the multimedia content result, and displaying the multimedia content result. The method can also include acquiring video data and audio data associated with a multimedia content item, performing a first scene detection process on the video data, performing a second scene detection process on the audio data, determining combined scene detection results based on the first scene detection results and the second scene detection results, inputting at least a portion of the combined scene detection results into a genre-specific multimodal transformer (GMT) model, and generating the multimedia content result as a summarization for the multimedia content item using one or more outputs from the GMT model.

Abstract: In the implementation of techniques for distributing digital content with edge devices, a system receives a request including digital content from a client device for uploading the digital content. Based on the request, the system identifies a nearest edge device from a plurality of edge devices. The system transmits instructions to the nearest edge device to generate a unique identifier corresponding to the digital content and to store the digital content. The system initiates one or more requests to a predefined number of one or more edge devices from the plurality of edge devices to store the digital content. The system receives confirmation from the predefined number of one or more edge devices that the digital content is stored. The system generates a response including content corresponding to the unique identifier, which is usable to access the digital content stored. The system broadcasts the response to the client device.

Abstract: This disclosure describes methods, non-transitory-computer readable media, and systems that can accurately genotype one or more human leukocyte antigen (HLA) alleles from a genomic sample by using alignment-score-based filtering and read-support-equivalence grouping of reads for genotype inference. To genotype HLA alleles, the disclosed systems extract a genomic sample's reads corresponding to an HLA genomic region and align the extracted reads with HLA-allele-reference sequences. The disclosed systems further select a subset of read alignments for the extracted reads based on alignment scores for alignments between the extracted reads and the HLA-allele-reference sequences. Based on the selected subset of read alignments, the disclosed systems group individual reads into HLA equivalence classes and determine candidate HLA alleles for the genome sample at one or more HLA loci.

Abstract: A gauge apparatus for a surgical tool includes an orientation sensor configured to detect orientation data identifying a device orientation of the surgical tool about a plurality of axes. A depth sensor measures depth data indicating a tool depth along a longitudinal axis of a tool accessory. A display device provides feedback regarding the device orientation and tool depth. A controller tracks and displays the device orientation and the tool depth of the surgical tool relative to a first offset selectively programmed to a first offset.

Abstract: The present disclosure concerns a Protein Quantitation Reporter (PQR) linker which is capable of being cleaved during the translation of a messenger RNA to quantify a protein of interest. The PQR linker can encode a peptide of SEQ ID NO: 23 and have the nucleic acid sequence of SEQ ID NO: 25. The PQR linker is located in a nucleic acid molecule encoding a poly-protein between a reporter protein and the protein of interest. While the messenger RNA encoding the poly-protein is being translated, the presence of the PQR linker causes cleavage of the poly-protein and consequently the release at a stoichiometric ratio of the reporter protein and the protein of interest. The signal associated with the cleaved reporter protein can be measured to estimate or quantify the protein of interest.

Abstract: A method includes generating a multimedia content result using a streaming multimodal video generation model, including creating prompt text based on one or more user preferences, generating image frames based on the prompt text, compiling the image frames into the multimedia content result, and displaying the multimedia content result. The method can also include acquiring video data and audio data associated with a multimedia content item, performing a first scene detection process on the video data, performing a second scene detection process on the audio data, determining combined scene detection results based on the first scene detection results and the second scene detection results, inputting at least a portion of the combined scene detection results into a genre-specific multimodal transformer (GMT) model, and generating the multimedia content result as a summarization for the multimedia content item using one or more outputs from the GMT model.

Abstract: The present disclosure provides for using multiple inertial measurement units (IMUs) to recognize particular user activity, such as particular types of exercises and repetitions of such exercises. The IMUs may be located in consumer products, such as smartwatches and earbuds. Each IMU may include an accelerometer and a gyroscope, each with three axes of measurement, for a total of 12 raw measurement streams. A training image includes a plurality of subplots or tiles, each depicting a separate data stream. The training image is then used to train a machine learning model to recognize IMU data as corresponding to a particular type of exercise.

Abstract: Embodiments described herein provide an intelligent method to select instances, by utilizing unsupervised tracking for videos. Using this freely available form of supervision, a temporal constraint is adopted for selecting instances that ensures that different instances contain the same object while sampling the temporal augmentation from the video. In addition, using the information on the spatial extent of the tracked object, spatial constraints are applied to ensure that sampled instances overlap meaningfully with the tracked object. Taken together, these spatiotemporal constraints result in better supervisory signal for contrastive learning from videos.

Abstract: The present disclosure provides for using multiple inertial measurement units (IMUs) to recognize particular user activity, such as particular types of exercises and repetitions of such exercises. The IMUs may be located in consumer products, such as smartwatches and earbuds. Each IMU may include an accelerometer and a gyroscope, each with three axes of measurement, for a total of 12 raw measurement streams. A training image includes a plurality of subplots or tiles, each depicting a separate data stream. The training image is then used to train a machine learning model to recognize IMU data as corresponding to a particular type of exercise.

Abstract: The present disclosure provides for using multiple inertial measurement units (IMUs) to recognize particular user activity, such as particular types of exercises and repetitions of such exercises. The IMUs may be located in consumer products, such as smartwatches and earbuds. Each IMU may include an accelerometer and a gyroscope, each with three axes of measurement, for a total of 12 raw measurement streams. A training image includes a plurality of subplots or tiles, each depicting a separate data stream. The training image is then used to train a machine learning model to recognize IMU data as corresponding to a particular type of exercise.

Abstract: A method for operation of a processor core is provided. A rejected first load instruction is received that has been rejected due to a false load-hit-store detection against a first store instruction. A warning label is generated on a basis of the false load-hit-store detection. The warning label is added to the received first load instruction to create a labeled first load instruction. The labeled first load instruction is issued such that the warning label causes the labeled first load instruction to bypass the first store instruction in the store reorder queue and thereby avoid another false load-hit-store detection against the first store instruction. A computer system and a processor core configured to operate according to the method are also disclosed herein.

Abstract: Embodiments described herein provide an intelligent method to select instances, by utilizing unsupervised tracking for videos. Using this freely available form of supervision, a temporal constraint is adopted for selecting instances that ensures that different instances contain the same object while sampling the temporal augmentation from the video. In addition, using the information on the spatial extent of the tracked object, spatial constraints are applied to ensure that sampled instances overlap meaningfully with the tracked object. Taken together, these spatiotemporal constraints result in better supervisory signal for contrastive learning from videos.

Abstract: A method for operation of a processor core is provided. A rejected first load instruction is received that has been rejected due to a false load-hit-store detection against a first store instruction. A warning label is generated on a basis of the false load-hit-store detection. The warning label is added to the received first load instruction to create a labeled first load instruction. The labeled first load instruction is issued such that the warning label causes the labeled first load instruction to bypass the first store instruction in the store reorder queue and thereby avoid another false load-hit-store detection against the first store instruction. A computer system and a processor core configured to operate according to the method are also disclosed herein.

Abstract: System includes at least one computer processor having a load store execution unit (LSU) for processing load and store instructions, wherein the LSU includes (a) a store queue having a plurality of entries for storing data, each store queue entry having a data field for storing the data, the data field having a width for storing the data; and (b) a gather buffer for holding data, wherein the processor is configured to: process oversize data larger than the width of the data field of the store queue, and process an oversize load instruction for oversize data by executing two passes through the LSU, a first pass through the LSU configured to store a first portion of the oversize data in the gather buffer and a second pass through the LSU configured to merge the first portion of the oversize data with a second portion of the oversize data.

Abstract: A suspension system for a vehicle may include a steering knuckle operably coupled to a wheel hub, and a plurality of links operably coupling the steering knuckle to a chassis of the vehicle. One of the links may be a trailing blade having a body portion that lies in a plane. The trailing blade may include a first end operably coupled to the steering knuckle and a second end operably coupled to the chassis. The trailing blade may extend from the first end to the second end such that the plane of the body portion forms an angle of greater than 5 degrees relative to a longitudinal axis of the vehicle.

Abstract: The present disclosure provides for using multiple inertial measurement units (IMUs) to recognize particular user activity, such as particular types of exercises and repetitions of such exercises. The IMUs may be located in consumer products, such as smartwatches and earbuds. Each IMU may include an accelerometer and a gyroscope, each with three axes of measurement, for a total of 12 raw measurement streams. A training image includes a plurality of subplots or tiles, each depicting a separate data stream. The training image is then used to train a machine learning model to recognize IMU data as corresponding to a particular type of exercise.

Abstract: A computer system, processor, and/or load-store unit has a data cache for storing data, the data cache having a plurality of entries to store the data, each data cache entry addressed by a row and a Way, each data cache row having a plurality of the data cache Ways; a first Address Directory organized and arranged the same as the data cache where each first Address Directory entry is addressed by a row and a Way where each row has a plurality of Ways; a store reorder queue for tracking the store instructions; and a load reorder queue for tracking load instruction. Each of the load and store reorder queues having a Way bit field, preferably less than six bits, for identifying the data cache Way and/or a first Address Directory Way where the Way bit field acts as a proxy for a larger address, e.g. a real page number.

Abstract: A computer system, processor, and/or load-store unit has a data cache for storing data, the data cache having a plurality of entries to store the data, each data cache entry addressed by a row and a Way, each data cache row having a plurality of the data cache Ways; a first Address Directory organized and arranged the same as the data cache where each first Address Directory entry is addressed by a row and a Way where each row has a plurality of Ways; a store reorder queue for tracking the store instructions; and a load reorder queue for tracking load instruction. Each of the load and store reorder queues having a Way bit field, preferably less than six bits, for identifying the data cache Way and/or a first Address Directory Way where the Way bit field acts as a proxy for a larger address, e.g. a real page number.

Abstract: A method of quantifying expression of a protein of interest with high temporal resolution; it includes providing a cell expressing a large fragment of a split fluorescent protein; transfecting the cell with a vector comprising a nucleic acid molecule comprising a first nucleic acid sequence encoding the protein of interest; a second nucleic acid sequence encoding the small fragment of the split fluorescent protein; and a third nucleic acid sequence encoding a linker protein that is cleaved during translation; quantifying expression of the protein of interest by detecting fluorescence resulting from a combining of the small fragment of the split fluorescent protein and the large fragment of the split fluorescent protein, wherein the linker protein is cleaved during the translation resulting in a stoichiometric ratio of the small fragment of the split fluorescent protein and the protein of interest.

Abstract: A suspension system for a vehicle may include a steering knuckle operably coupled to a wheel hub, and a plurality of links operably coupling the steering knuckle to a chassis of the vehicle. One of the links may be a trailing blade having a body portion that lies in a plane. The trailing blade may include a first end operably coupled to the steering knuckle and a second end operably coupled to the chassis. The trailing blade may extend from the first end to the second end such that the plane of the body portion forms an angle of greater than 5 degrees relative to a longitudinal axis of the vehicle.