Abstract: A sparse convolutional neural network accelerator system that dynamically and efficiently identifies fine-grained parallelism in sparse convolution operations. The system determines matching pairs of non-zero input activations and weights from the compacted input activation and weight arrays utilizing a scalable, dynamic parallelism discovery unit (PDU) that performs a parallel search on the input activation array and the weight array to identify reducible input activation and weight pairs.

Abstract: A method of making a semiconductor device includes forming a first polysilicon structure over a first portion of a substrate. The method further includes forming a first spacer on a sidewall of the first polysilicon structure, wherein the first spacer has a concave corner region between an upper portion and a lower portion. The method further includes forming a protective layer covering an entirety of the first spacer and the first polysilicon structure, wherein the protective layer has a first thickness over the concave corner region and a second thickness over the first polysilicon structure, and a difference between the first thickness and the second thickness is at most 10% of the second thickness.

Abstract: Techniques for messaging bot controls based on machine-learning user intent detection are described. In one embodiment, an apparatus may comprise a message queue monitoring component operative to monitor a messaging interaction, the messaging interaction exchanged via a messaging system, the messaging interaction involving at least one client device; an interaction processing component operative to determine a user intent for the messaging interaction; and a bot management component operative to determine a messaging bot options configuration for the client device based on the user intent; and send the messaging bot options configuration to the client device. Other embodiments are described and claimed.

Abstract: The invention provides a method of treating or reducing the severity of thyroid-associated ophthalmopathy (TAO), also known as thyroid eye disease (TED) or Graves' ophthalmopathy or orbitopathy (GO), or a symptom or aspect thereof, in subjects that have undergone prior treatment for TAO, TED, or GO, and either did not respond to said prior treatment or relapsed after said prior treatment. The invention also provides antibodies, or antigen binding fragments thereof, and pharmaceutical compositions useful in the disclosed methods.

Abstract: The invention provides a method of treating or reducing the severity of thyroid-associated ophthalmopathy (TAO), also known as thyroid eye disease (TED) or Graves' ophthalmopathy or orbitopathy (GO), or a symptom or aspect thereof, in subjects that have undergone prior treatment for TAO, TED, or GO, and either did not respond to said prior treatment or relapsed after said prior treatment. The invention also provides antibodies, or antigen binding fragments thereof, and pharmaceutical compositions useful in the disclosed methods.

Abstract: The present disclosure is directed toward systems, computer-readable media, and methods for providing customized media effects for use in media communications. For example, systems and methods described herein utilize search terms along with contextual information associated with a client-computing device and characteristic information associated with a digital media item to identify pre-generated media effects and to generate dynamic media effects. Systems and methods described herein score and rank the identified and generated media effects to as to provide listings of media effects that are most likely to appeal to a user of the client-computing device.

Abstract: Techniques for messaging bot controls based on machine-learning user intent detection are described. In one embodiment, an apparatus may comprise a message queue monitoring component operative to monitor a messaging interaction, the messaging interaction exchanged via a messaging system, the messaging interaction involving at least one client device; an interaction processing component operative to determine a user intent for the messaging interaction; and a bot management component operative to determine a messaging bot options configuration for the client device based on the user intent; and send the messaging bot options configuration to the client device. Other embodiments are described and claimed.

Abstract: Exemplary embodiments relate to techniques for identifying messaging robots, or bots, to surface in response to a request. For example, in order to facilitate increased interaction between a user and a bot, a list of candidate bots that the user is likely to be interested in may be surfaced to the user in response to a search for a bot or a request that a bot perform a particular task. Identifying the bots may be accomplished by generating a list of candidate bots and filtering the list based on filtering metrics. Then, the remaining bots may be ranked based on ranking metrics, and the top bots in the ranking may be returned. In some embodiments, two sets of ranks may calculated: one for retention rate, and another rank for the number of messages sent and received by the bots.

Abstract: Systems, methods, and non-transitory computer readable media are configured to determine an account through which illegitimate activity has been conducted on an online service. A plurality of computing devices from which the account was accessed are determined. At least a first computing device of the plurality of computing devices is blocked from creating a new account with the online service.

Abstract: Techniques for messaging bot controls based on machine-learning user intent detection are described. In one embodiment, an apparatus may comprise a message queue monitoring component operative to monitor a messaging interaction, the messaging interaction exchanged via a messaging system, the messaging interaction involving at least one client device; an interaction processing component operative to determine a user intent for the messaging interaction; and a bot management component operative to determine a messaging bot options configuration for the client device based on the user intent; and send the messaging bot options configuration to the client device. Other embodiments are described and claimed.

Abstract: The invention provides a method of treating or reducing the severity of thyroid-associated ophthalmopathy (TAO), also known as thyroid eye disease (TED) or Graves' ophthalmopathy or orbitopathy (GO), or a symptom or aspect thereof, in subjects that have undergone prior treatment for TAO, TED, or GO, and either did not respond to said prior treatment or relapsed after said prior treatment. The invention also provides antibodies, or antigen binding fragments thereof, and pharmaceutical compositions useful in the disclosed methods.

Abstract: Disclosed herein are anti-RGMa antibodies and methods of using these antibodies to treat multiple sclerosis, including relapsing forms of multiple sclerosis such as relapsing-remitting multiple sclerosis or relapsing-secondary progressive multiple sclerosis.

Abstract: The present disclosure is directed toward systems, computer-readable media, and methods for providing customized media effects for use in media communications. For example, systems and methods described herein utilize search terms along with contextual information associated with a client-computing device and characteristic information associated with a digital media item to identify pre-generated media effects and to generate dynamic media effects. Systems and methods described herein score and rank the identified and generated media effects to as to provide listings of media effects that are most likely to appeal to a user of the client-computing device.

Abstract: Techniques for ranking of selected bots are described. In one embodiment, for example, an apparatus may comprise a client front-end component operative to receive a bot contact display prompt from a client device; and send an ordered bot contact list to the client device; a bot contact list component operative to retrieve a bot contact list from a selection component, the bot contact list comprising a plurality of bot contacts; and a contact ranking component operative to determine a ranking weight for each of the plurality of bot contacts; and generate the ordered bot contact list by ordering the bot contact list based on the ranking weight. Other embodiments are described and claimed.

Abstract: Exemplary embodiments relate to techniques for identifying messaging robots, or bots, to surface in response to a request. For example, in order to facilitate increased interaction between a user and a bot, a list of candidate bots that the user is likely to be interested in may be surfaced to the user in response to a search for a bot or a request that a bot perform a particular task. Identifying the bots may be accomplished by generating a list of candidate bots and filtering the list based on filtering metrics. Then, the remaining bots may be ranked based on ranking metrics, and the top bots in the ranking may be returned. In some embodiments, two sets of ranks may calculated: one for retention rate, and another rank for the number of messages sent and received by the bots.

Abstract: Systems, methods, and non-transitory computer readable media are configured to determine an account through which illegitimate activity has been conducted on an online service. A plurality of computing devices from which the account was accessed are determined. At least a first computing device of the plurality of computing devices is blocked from creating a new account with the online service.

Abstract: Techniques for messaging bot controls based on machine-learning user intent detection are described. In one embodiment, an apparatus may comprise a message queue monitoring component operative to monitor a messaging interaction, the messaging interaction exchanged via a messaging system, the messaging interaction involving at least one client device; an interaction processing component operative to determine a user intent for the messaging interaction; and a bot management component operative to determine a messaging bot options configuration for the client device based on the user intent; and send the messaging bot options configuration to the client device. Other embodiments are described and claimed.

Abstract: Disclosed herein are anti-RGMa antibodies and methods of using these antibodies to treat multiple sclerosis, including relapsing forms of multiple sclerosis such as relapsing-remitting multiple sclerosis or relapsing-secondary progressive multiple sclerosis.

Abstract: The present disclosure provides methods of utilizing Syk inhibiting compounds in the treatment for graft versus host disease (GVHD) in a human, including acute graft versus host disease (aGVHD) and chronic graft versus host disease (cGVHD), including the use of compounds selected from the group consisting of the formulas below:

Abstract: This invention relates to methods for determining the risk of developing cataract in mammals, and, more specifically, in mammals, including humans, with non-insulin dependent diabetes. The methods are performed by determining the presence or absence of genetic markers in genomic DNA. The presence of a Z-2 allele, a microsatellite marker of the aldose reductase, is indicative of an increased risk for developing cataract. The presence of Z-4, a microsatellite allele of the aldose reductase gene, indicates a decreased risk for developing cataract. The methods comprise nucleic acid probes that hybridize to a nucleic acid encoding the microsatellite region of the mammalian aldose reductase gene. The probes may also be immobilized on a solid support to form a microarray.