Abstract: A system may receive, via a first user interface associated with an online marketplace, a multi-modality request to retrieve a listing for an item, the multi-modality request comprising at least a first image and a first natural language text associated with the item. The system may generate an item embedding based on inputting the first image and the first natural language text to a machine learning model and may generate a first vector associated with the first image and the first natural language text included in the multi-modality request. The system may cause presentation, via the first user interface associated with the online marketplace, of one or more listings for the item retrieved based at least in part on a similarity metric between the first vector and a second vector of a plurality of vectors associated with a plurality of listings.

Abstract: The present disclosure is generally directed to the use of compositions that include antibodies, e.g., monoclonal, chimeric, affinity-matured or humanized antibodies, antibody fragments, etc., that specifically bind one or more epitopes within a Sortilin protein, e.g., human Sortilin or mammalian Sortilin, and have improved and/or enhanced functional characteristics, in treating and/or delaying progression of a disease or injury in an individual in need thereof.

Abstract: Provided are computing systems, methods, and platforms that train query processing models, such as large language models, to perform query intent classification tasks by using retrieval augmentation and multi-stage distillation. Unlabeled training examples of queries may be obtained, and a set of the training examples may be augmented with additional feature annotations to generate augmented training examples. A first query processing model may annotate the retrieval augmented queries to generate inferred labels for the augmented training examples. A second query processing model may be trained on the inferred labels, distilling the query processing model that was trained with retrieval augmentation into a non-retrieval augmented query processing model. The second query processing model may annotate the entire set of unlabeled training examples. Another stage of distillation may train a third query processing model using the entire set of unlabeled training examples without retrieval augmentation.

Abstract: An approach is provided for training classifiers used in machine learning. A corpus of training data is received. One or more clusters of the training data is generated according to features of the training data. The one or more clusters are refined using user-specified rules. One or more classifiers are trained for use in machine learning based upon the refined one or more clusters.

Abstract: The present disclosure is generally directed to the use of antibodies that specifically bind one or more epitopes within a sortilin protein, e.g., human sortilin or mammalian sortilin, for treating and/or delaying progression of a disease, disorder, or injury in an individual in need thereof.

Abstract: Bioplastic compositions and methods of making are described herein. The various mechanical and physical properties of the bioplastic may be varied by altering the thermoforming or incorporating an additive depending on the desired mechanical and physical properties of the end product. The bioplastic may be made entirely of biomatter and be backyard compostable.

Abstract: The present invention provides methods and systems that provide for reliable, convenient, and noninvasive assessment of hydration status. The methods and apparatuses can use the temporal sequence of the aortic value opening and closing along with the user's body position to derive parameters that determine the hydration status of the user. The user can use this information to make near-term lifestyle changes that can improve physical performance, health, and general wellbeing.

Abstract: The present invention provides a method for the treatment of DLL3-positive cancer or SCLC, comprising administering to a subject in need thereof an anti-DLL3 agent at a dose of between about 0.3 mg to about 100 mg or between about 3 mg to about 200 mg, once every two weeks. Step dosing of the anti-DLL3 agent for the treatment of SCLC is also disclosed.

Abstract: In one embodiment, a method is provided. The method of this embodiment provides detecting by a network controller a flush occurring on a host bus of a DM (“direct messaging”) packet to a memory from a first cache line associated with a first processor; obtaining and storing the DM packet at a second cache line associated with the network controller; and sending the DM packet over a network to a third cache line associated with a second processor.

Abstract: The car butler is an articles hanger for use in a car. The device is presented as a main member that attaches to headrest poles in a car seat at a second end and attaches to a clipping or hooking means at the first end. A supporting member attaches to the first end and supports the main member. The supporting member has a foot to contact the car seat. The apparatus can be folded into a flat arrangement for storage. The clip or hook holds a bag of take out or fast food so that the food does not slosh or spill when the driver makes turns or sudden stops.