Ebay, Incorporated

Amunix Pharmaceuticals, Inc

Flc Technology Group, Inc.

Skhynix Inc.

Xad, Inc.

Fan Yang

Robinson Piramuthu

Qiaosong Wang

Mohammadhadi Kiapour

Ajinkya Gorakhnath Kale

Shuai Zheng

Japjit Singh Tulsi

Volker Schellenberger

Bee-Cheng Sim

Desiree Thayer

Sehat Sutardja

Hunglin Hsu

Kevin Shude Lin

Rong Xu

Chia-Wei Wang

Xiaojue Zeng

Mahyar Najibikohnehshahri

Can Liang

Vladimir Podust

Yilin Chen

Ryan Yu

Ananthanarayanan Nagarajan

Xianfeng Rui

John Beaber

Weiqing Yu

Cheng Chung Wang

Bo Hu

Systems, methods, and computer program products for identifying a candidate product in an electronic marketplace based on a visual comparison between candidate product image visual content and input query image visual content. Embodiments generate and store descriptive image signatures from candidate product images or selected portions of such images. A subsequently calculated visual similarity measure serves as a visual search result score for the candidate product in comparison to an input query image. Any number of images of any number of candidate products may be analyzed, such as for items available for sale in an online marketplace. Image analysis results are stored in a database and made available for subsequent automated on-demand visual comparisons to an input query image. The embodiments enable substantially real time visual based product searching of a potentially vast catalog of items.

Intelligent online personal assistant with offline visual search database

Disclosed are systems, methods, and non-transitory computer-readable media for using adversarial learning for fine-grained image search. An image search system receives a search query that includes an input image depicting an object. The search system generates, using a generator, a vector representation of the object in a normalized view. The generator was trained based on a set of reference images of known objects in multiple views, and feedback data received from an evaluator that indicates performance of the generator at generating vector representations of the known objects in the normalized view. The evaluator including a discriminator sub-module, a normalizer sub-module, and a semantic embedding sub-module that generate the feedback data. The image search system identifies, based on the vector representation of the object, a set of other images depicting the object, and returns at least one of the other images in response to the search query.

Adversarial learning for finegrained image search

Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.

Camera platform incorporating schedule and stature

The present invention relates to activatable recombinant polypeptide compositions comprising a cleavage release segment. In some instances, the activatable recombinant polypeptide compositions include an XTEN linked to binding moieties by cleavable release segments that, when cleaved, the binding moieties are capable of binding together effector T cells with targeted tumor or cancer cells and effecting cytolysis of the tumor cells or cancer cells. The invention also provides compositions and methods of making and using the cleavable activatable recombinant compositions.

Release segments and binding compositions comprising same

Methods, systems, and computer programs are presented for adding new features to a network service. A method includes receiving an image depicting an object of interest. A category set is determined for the object of interest and an image signature is generated for the image. Using the category set and the image signature, the method identifies a set of publications within a publication database and assigns a rank to each publication. The method causes presentation of the ranked list of publications at a computing device from which the image was received.

Image analysis and prediction based visual search

The present invention relates to bispecific chimeric polypeptide assembly compositions comprising bulking moieties linked to binding domains by cleavable release segments that, when cleaved are capable of concurrently binding effector T cells with targeted tumor or cancer cells and effecting cytolysis of the tumor cells or cancer cells. The invention also provides compositions and methods of making and using the cleavable chimeric polypeptide assembly compositions.

Chimeric polypeptide assembly and methods of making and using the same

To avoid hash table collisions, such as in response to sequential addresses, a hash module is provided that includes a first multiplexer that, responsive to a control signal, outputs received data on one of two or more scramblers. The scramblers are configured to selectively receive the selected data output from the first multiplexer and perform a scrambler operation on the selected data to generate scrambled data. A second multiplexer outputs the scrambled data to a first hash module configured to performs a hash function on the scrambled data to generate a hash value. A second hash module, responsive to a collision occurring in the first hash module, perform a hash function on the scrambled data received from the first hash module. The use of a scrambler reduces collisions in the hash module outputs over time and multiple scramblers may be used to further reduce collisions.

Hash function with pre-scrambler

Systems, methods, and computer program products for identifying a relevant candidate product in an electronic marketplace. Embodiments perform a visual similarity comparison between candidate product image visual content and input query image visual content, process formal and informal natural language user inputs, and coordinate aggregated past user interactions with the marketplace stored in a knowledge graph. Visually similar items and their corresponding product categories, aspects, and aspect values can determine suggested candidate products without discernible delay during a multi-turn user dialog. The user can then refine the search for the most relevant items available for purchase by providing responses to machine-generated prompts that are based on the initial search results from visual, voice, and/or text inputs. An intelligent online personal assistant can thus guide a user to the most relevant candidate product more efficiently than existing search tools.

Intelligent online personal assistant with multi-turn dialog based on visual search

Camera platform and object inventory control

A system and method for caching memory request verification data comprising a memory request generator configured to generate a memory request designating requested data and memory request verification data. A bus is configured to carry the memory request from the memory request generator to a cache memory that stores verification data, and upon receiving the memory request is configured to: retrieve stored verification data from the cache memory, compare the stored verification data to the memory request verification data, and responsive to a match between the stored verification data to the memory request verification data, designate a memory request validation. Also part of the system is a memory controller configured to, responsive to a memory request validation, retrieve data specified in the memory request from a main memory and provide the data to the memory request generator over the bus. A main memory configured to store the requested data.

Method and apparatus for caching MTE and/or ECC data

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San Jose, CA, United States of America

Fan Yang