Abstract: The present application relates to treating and/or preventing breast cancer, including locally advanced or metastatic, ER+, HER2? breast cancer, in a subject in need of treatment, comprising administering a compound of Formula (I), or a pharmaceutically acceptable salt, enantiomer, stereoisomer, solvate, polymorph, isotopic derivative, or prodrug thereof, wherein R1, R2, R3, R4, m, and n are defined herein.

Abstract: A processing device includes an automated overclocking system and a processor. The automated overclocking system is data-driven and includes an inference engine that executes a machine learning model configured to generate a first output based on a current configuration of the processing device. The first output includes a first set of overclocking parameters. The processor is configured to adjust one or more operating characteristics of at least one component of the processing device based on the first set of overclocking parameters.

Abstract: Described herein are processable compositions comprising at least one moiety that is processable in its free form. Also described herein are compositions and methods for the treatment of ocular diseases or disorders including glaucoma, blepharitis, ocular inflammation, diabetic macular edema, posterior inflammation, anterior inflammation, macular degeneration (e.g., wet macular degeneration (AMD) or dry AMD), post-cataract surgery, and retinal vein occlusion. Said compositions and methods comprise steroids and prostaglandins which demonstrate anti-inflammatory activity, intraocular pressure (IOP) lowering, and/or other desirable activities. Injection of said compositions in the eye provides therapeutic benefit to patients suffering from ocular disorders.

Abstract: A load break tool for opening a high load electrical switch having a first switch contact and a second switch contact. The load break tool includes a main body extending along a longitudinal axis between a first end and a second end. The main body is movable between an extended configuration and a retracted configuration. A first contact is coupled to the first end and configured to selectively couple with the first switch contact. A second contact is coupled to the second end and configured to selectively couple with the second switch contact. In the retracted configuration the first contact is in electrical communication with the second contact. A spring assembly is mounted in the main body for biasing the main body to the retracted configuration, the spring assembly including a compression spring.

Abstract: Provided herein are needle assemblies for intravitreal injection of an (e.g., one or more) implant(s) into an eye of a patient through an unsheathed state and a sheathed state. Such needle assemblies are precise and accurate for proper treatment and prevent further damage to the eye.

Abstract: Provided herein are compounds having the formula D1-L-D2, wherein D1 is a processable group, L is a linker, and D2 is a drug. Also described herein are pharmaceutical compositions comprising said compounds and methods for the treatment of ocular diseases or disorders including glaucoma, ocular hypertension, ocular inflammation, diabetic macular edema, posterior inflammation, anterior inflammation, macular degeneration, post-cataract surgery and retinal vein occlusion.

Abstract: The disclosure features pharmaceutical compositions formed from prodrug dimers for the extended delivery of a drug and for the treatment of a disease or condition.

Abstract: Smart sensors, platforms for smart sensors, and associated systems and methods, are disclosed herein. In some implementations, the platform includes hardware interfaces that are abstracted and/or standardized as defined by various common group types. The abstracted interfaces allow numerous different sensors to be connected and integrated into the smart sensor as desired for a specific application. Further, the platform can reuse a standardized software backbone as a sensor platform as sensors are varied, as well as across multiple smart sensors. In some implementations, the standardized sensor platform can include an on-board resident user interface (RUI) with an internet-accessible portal, allowing users to connect to the RUI on the sensor platform through any network accessible device. The platform can also include an artificial intelligence and/or machine learning engine to turn raw sensor data into real-time automation and inspection information within the sensor within the local environment.

Abstract: The present application relates to treating and/or preventing breast cancer, including locally advanced or metastatic, ER+, HER2? breast cancer, in a subject in need of treatment, comprising administering a compound of Formula (I), or a pharmaceutically acceptable salt, enantiomer, stereoisomer, solvate, polymorph, isotopic derivative, or prodrug thereof, wherein R1, R2, R3, R4, m, and n are defined herein.

Abstract: Systems, apparatuses, and methods for detecting personal-space violations in artificial intelligence (AI) based non-player characters (NPCs) are disclosed. An AI engine creates a NPC that accompanies and/or interacts with a player controlled by a user playing a video game. During gameplay, measures of context-dependent personal space around the player and/or one or more NPCs are generated. A control circuit monitors the movements of the NPC during gameplay and determines whether the NPC is adhering to or violating the measures of context-dependent personal space. The control circuit can monitor the movements of multiple NPCs simultaneously during gameplay, keeping a separate score for each NPC. After some amount of time has elapsed, the scores of the NPCs are recorded, and then the scores are provided to a machine learning engine to retrain the AI engines controlling the NPCs.

Abstract: Embodiments of negative pressure wound therapy systems, apparatuses, and methods for operating the systems and apparatuses are disclosed. In some embodiments, the apparatus includes a negative pressure source, a connector port, at least one switch, and a controller. The negative pressure source is connected through the connector port to either (i) a wound dressing having a canister configured to store fluid aspirated from the wound or (ii) a wound dressing without a canister between the connector port and the wound dressing. The controller determines, based on a signal received from the at least one switch, whether the canister is positioned in the fluid flow path and adjusts one or more operational parameters of negative pressure wound therapy based on the determination. The switch is activated by the connection of either the canister or canisterless wound dressing to the apparatus.

Abstract: A processing device includes an automated overclocking system and a processor. The automated overclocking system is data-driven and includes an inference engine that executes a machine learning model configured to generate a first output based on a current configuration of the processing device. The first output includes a first set of overclocking parameters. The processor is configured to adjust one or more operating characteristics of at least one component of the processing device based on the first set of overclocking parameters.

Abstract: Embodiments of negative pressure wound therapy systems, apparatuses, and methods for operating the systems and apparatuses are disclosed. In some embodiments, the apparatus includes a negative pressure source, a connector port, at least one switch, and a controller. The negative pressure source is connected through the connector port to either (i) a wound dressing having a canister configured to store fluid aspirated from the wound or (ii) a wound dressing without a canister between the connector port and the wound dressing. The controller determines, based on a signal received from the at least one switch, whether the canister is positioned in the fluid flow path and adjusts one or more operational parameters of negative pressure wound therapy based on the determination. The switch is activated by the connection of either the canister or canisterless wound dressing to the apparatus.

Abstract: An apparatus and method for efficiently creating less computationally intensive nodes for a neural network. In various implementations, a computing system includes a memory that stores multiple input data values for training a neural network, and a processor. Rather than determine a bit width P of an integer accumulator of a node of the neural network based on bit widths of the input data values and corresponding weight values, the processor selects the bit width P during training. The processor adjusts the magnitudes of the weight values during iterative stages of training the node such that an L1 norm value of the weight values of the node does not exceed a corresponding weight magnitude limit.

Abstract: The disclosed computer-implemented method for generating remedy recommendations for power and performance issues within semiconductor software and hardware. For example, the disclosed systems and methods can apply a rule-based model to telemetry data to generate rule-based root-cause outputs as well as telemetry-based unknown outputs. The disclosed systems and methods can further apply a root-cause machine learning model to the telemetry-based unknown outputs to analyze deep and complex failure patterns with the telemetry-based unknown outputs to ultimately generate one or more root-cause remedy recommendations that are specific to the identified failure and the client computing device that is experiencing that failure.

Abstract: The disclosed computer-implemented method for generating remedy recommendations for power and performance issues within semiconductor software and hardware. For example, the disclosed systems and methods can apply a rule-based model to telemetry data to generate rule-based root-cause outputs as well as telemetry-based unknown outputs. The disclosed systems and methods can further apply a root-cause machine learning model to the telemetry-based unknown outputs to analyze deep and complex failure patterns with the telemetry-based unknown outputs to ultimately generate one or more root-cause remedy recommendations that are specific to the identified failure and the client computing device that is experiencing that failure.

Abstract: Methods and devices are provided for processing data using a neural network. Activations from a previous layer of the neural network are received by a layer of the neural network. Weighted values, to be applied to values of elements of the activations, are determined based on a spatial correlation of the elements and a task error output by the layer. The weighted values are applied to the values of the elements and a combined error is determined based on the task error and the spatial correlation.

Abstract: The present application relates to treating and/or preventing prostate cancer, including metastatic and/or castrate-resistant prostate cancer, in a subject in need of treatment having particular somatic AR tumor biomarker status, comprising administering a compound of Formula (I), or a pharmaceutically acceptable salt, enantiomer, stereoisomer, solvate, polymorph, isotopic derivative, or prodrug thereof, wherein R1, R2, R3, X1, X2, X3, X4, and n are defined herein.

Abstract: Shader source code performance prediction is described. In accordance with the described techniques, an update to shader source code for implementing a shader is received. A prediction of performance of the shader on a processing unit is generated based on the update to the shader source code. Feedback about the update is output. The feedback includes the prediction of performance of the shader. In one or more implementations, generating the prediction of performance of the shader includes compiling the shader source code with the update to generate a representation of the shader, inputting the representation of the shader to one or more machine learning models, and receiving the prediction of performance of the shader as an output from the one or more machine learning models.

Abstract: At least one computer readable medium encoded with instructions that, when executed on a computer system, perform a method for determining one or more fluency characteristics of a writer from a piece of their prepared text and providing data to enable characterisation of the writer fluency. The method includes the steps of receiving text data carrying information on the piece of writing to be characterised; enumerating a set of sentences in the piece of writing, wherein each sentence is identified by applying a set of stored rules to the text data; determining a sentence type for each sentence within the piece of text by relating data carrying information on each sentence to stored rules and/or type data; aggregating a data set dependent on the sentence types identified and dependent on a defined aggregation operation; Characterisation data carrying information writer fluency measured dependent on the data set is generated.