Abstract: An integrated pool filtration system according to various aspects of the present technology is configured to provide a single fully contained unit incorporating a full suite of equipment for pool filtration to provide a simpler installation option. In one embodiment, the system comprises an inlet and an outlet that can be easily connected to the plumbing system of a pool and an electrical panel that can be connected to an appropriate power source eliminating the need for a complex manifold system. The system may also include a backwashing system to facilitate the cleaning of the filter media used.

Abstract: Systems and methods are disclosed herein for processing ultrasound images to identify objects for diagnostic and/or interventional use. For instance, an ultrasound image of an anatomical structure may be received from a computing device of an ultrasound imaging system. The ultrasound image may be input to a machine learning model that is trained to identify a plurality of objects in ultrasound images of the anatomical structure. The plurality of objects may include anatomical features, disruptive features, and/or instruments. A prediction of one or more objects from the plurality of objects identified in the ultrasound image may be received as output of the machine learning model. An indication of the prediction may be provided to the computing device for display on a display of the ultrasound imaging system.

Abstract: A computing device has several smart network interface cards (NICs) with RJ45 connectors. The smart NICs are in master-slave arrangement, where internal RJ45 connectors of the master smart NIC are connected by RJ45 cables to respective RJ45 connectors of slave smart NICs. A front RJ45 connector of the master smart NIC is connected by an RJ45 cable to a network switch that is installed in a same rack as the computing device.

Abstract: A solid beverage block with strawstick according to various aspects of the present technology is configured to provide a measured amount of particles that can be dissolved or brewed in a liquid to create a flavored beverage. In one embodiment, the solid beverage block comprises a plurality of ingredients or particles formed into a block and a hollow tube extending at least part way into the solid block. The hollow tube may be used to stir or agitate the solid block within the liquid to integrate the particles into the liquid. The hollow tube may also serve as a straw allowing the user to drink the resulting beverage.

Abstract: Systems and methods are disclosed herein for processing ultrasound images to identify objects for diagnostic and/or interventional use. For instance, an ultrasound image of an anatomical structure may be received from a computing device of an ultrasound imaging system. The ultrasound image may be input to a machine learning model that is trained to identify a plurality of objects in ultrasound images of the anatomical structure. The plurality of objects may include anatomical features, disruptive features, and/or instruments. A prediction of one or more objects from the plurality of objects identified in the ultrasound image may be received as output of the machine learning model. An indication of the prediction may be provided to the computing device for display on a display of the ultrasound imaging system.

Abstract: In some embodiments, a system comprises a host computing device and an audio device communicatively coupled to the host device and including at least one speaker and a plurality of light emitters. The host computing device can include a processor(s) and one or more machine-readable, non-transitory storage mediums with instructions configured to cause the processor(s) of the host computing device to perform operations including receiving user environment data by one or more sensors of the host computing device, receiving user selection data corresponding to a selected mode of operation of the audio device, determining a characterization profile of a surrounding environment of the user based on the user environment data, and sending the characterization profile to the audio device, the characterization profile configured to cause the audio device to control the plurality of light emitters based on the characterization profile and the selected mode of operation.

Abstract: Example embodiments of the present disclosure provide for an example method. The example method includes obtaining session data descriptive of a plurality of user sessions, the plurality of user sessions respectively including an interaction with an input element rendered at a user device and a request for a resource associated with the input element. The example method includes obtaining, using a first machine-learned model, a plurality of weights associated with the plurality of user sessions by, for a respective user session of the plurality of user sessions: inputting, to the first machine-learned model, data descriptive of one or more characteristics of the respective user session; and obtaining, from the first machine-learned model, a respective weight of the plurality of weights, the respective weight indicative of an incremental probability of the request conditioned on rendering of the input element.