Abstract: The present disclosure provides methods and systems for foam control. A method of foam control for a fermentation system comprises: obtaining image data from an imaging device located at the fermentation system; and processing said sensor data using a trained machine learning algorithm to generate an output that indicates presence of foam or level of foaming.

Abstract: A bioreactor may comprise a head-plate configured to provide coupling features to attach selected components to the bioreactor. The bioreactor may also comprise impeller and sparger, and the sparger is positioned at a pre-determined distance from the impeller based at least in part on a spatial configuration of the head-plate. The bioreactor further comprises a vessel defining a hollow enclosure for receiving a culture medium, and an opening of the vessel is covered by the head-plate.

Abstract: A system for controlling a fermentation system is described. The system can be controlled remotely by a user via cloud-based access to a computing platform connected to the fermentation system. A user can enter in an experimental protocol and make changes to the protocol in real-time.

Abstract: Methods and systems disclosed herein relate to determining a projected change in bandwidth demand in a specified area during a specified future time period, repositioning one or more balloons in a high-altitude balloon network based on the projected change in bandwidth demand, and providing, using the one or more balloons, at least a portion of the bandwidth demanded in the specified area during the specified future time period.

Abstract: Methods and systems disclosed herein relate to determining a projected change in bandwidth demand in a specified area during a specified future time period, repositioning one or more balloons in a high-altitude balloon network based on the projected change in bandwidth demand, and providing, using the one or more balloons, at least a portion of the bandwidth demanded in the specified area during the specified future time period.

Abstract: A fermentation automation workcell is provided. The fermentation automation workcell may permit automated seed train preparation, fermentation, and post-fermentation sample handling. The fermentation automation workcell may include one or more robotic handling devices that may aid in the automated process. A bioreactor array may include a plurality of modularized bioreactors that may be individually varied and/or controlled.

Abstract: Methods and systems disclosed herein relate to determining a projected change in bandwidth demand in a specified area during a specified future time period, repositioning one or more balloons in a high-altitude balloon network based on the projected change in bandwidth demand, and providing, using the one or more balloons, at least a portion of the bandwidth demanded in the specified area during the specified future time period.

Abstract: Methods and systems disclosed herein relate to determining a projected change in bandwidth demand in a specified area during a specified future time period, repositioning one or more balloons in a high-altitude balloon network based on the projected change in bandwidth demand, and providing, using the one or more balloons, at least a portion of the bandwidth demanded in the specified area during the specified future time period.

Abstract: Embodiments described herein may relate to an unmanned aerial vehicle (UAV) navigating to a target in order to provide medical support. An illustrative method involves a UAV (a) determining an approximate target location associated with a target, (b) using a first navigation process to navigate the UAV to the approximate target location, where the first navigation process generates flight-control signals based on the approximate target location, (c) making a determination that the UAV is located at the approximate target location, and (d) in response to the determination that the UAV is located at the approximate target location, using a second navigation process to navigate the UAV to the target, wherein the second navigation process generates flight-control signals based on real-time localization of the target.

Abstract: Embodiments described herein may relate to an unmanned aerial vehicle (UAV) navigating to a target in order to provide medical support. An illustrative method involves a UAV (a) determining an approximate target location associated with a target, (b) using a first navigation process to navigate the UAV to the approximate target location, where the first navigation process generates flight-control signals based on the approximate target location, (c) making a determination that the UAV is located at the approximate target location, and (d) in response to the determination that the UAV is located at the approximate target location, using a second navigation process to navigate the UAV to the target, wherein the second navigation process generates flight-control signals based on real-time localization of the target.

Abstract: Embodiments described herein may help to provide medical support via a fleet of unmanned aerial vehicles (UAVs). An illustrative UAV may include a housing, a payload, a line-deployment mechanism coupled to the housing and a line, and a payload-release mechanism that couples the line to the payload, wherein the payload-release mechanism is configured to release the payload from the line. The UAV may further include a control system configured to determine that the UAV is located at or near a delivery location and responsively: operate the line-deployment mechanism according to a variable deployment-rate profile to lower the payload to or near to the ground, determine that the payload is touching or is within a threshold distance from the ground, and responsively operate the payload-release mechanism to release the payload from the line.

Abstract: Embodiments described herein may help to provide medical support via a fleet of unmanned aerial vehicles (UAVs). An illustrative UAV may include a housing, a payload, a line-deployment mechanism coupled to the housing and a line, and a payload-release mechanism that couples the line to the payload, wherein the payload-release mechanism is configured to release the payload from the line. The UAV may further include a control system configured to determine that the UAV is located at or near a delivery location and responsively: operate the line-deployment mechanism according to a variable deployment-rate profile to lower the payload to or near to the ground, determine that the payload is touching or is within a threshold distance from the ground, and responsively operate the payload-release mechanism to release the payload from the line.

Abstract: Embodiments described herein may help to provide medical support via a fleet of unmanned aerial vehicles (UAVs). An illustrative UAV may include a housing, a payload, a line-deployment mechanism coupled to the housing and a line, and a payload-release mechanism that couples the line to the payload, wherein the payload-release mechanism is configured to release the payload from the line. The UAV may further include a control system configured to determine that the UAV is located at or near a delivery location and responsively: operate the line-deployment mechanism according to a variable deployment-rate profile to lower the payload to or near to the ground, determine that the payload is touching or is within a threshold distance from the ground, and responsively operate the payload-release mechanism to release the payload from the line.

Abstract: Methods and systems disclosed herein relate to determining a projected change in bandwidth demand in a specified area during a specified future time period, repositioning one or more balloons in a high-altitude balloon network based on the projected change in bandwidth demand, and providing, using the one or more balloons, at least a portion of the bandwidth demanded in the specified area during the specified future time period.

Abstract: Embodiments described herein may help to provide medical support via a fleet of unmanned aerial vehicles (UAVs). An illustrative UAV may include a housing, a payload, a line-deployment mechanism coupled to the housing and a line, and a payload-release mechanism that couples the line to the payload, wherein the payload -release mechanism is configured to release the payload from the line. The UAV may further include a control system configured to determine that the UAV is located at or near a delivery location and responsively: operate the line-deployment mechanism according to a variable deployment-rate profile to lower the payload to or near to the ground, determine that the payload is touching or is within a threshold distance from the ground, and responsively operate the payload-release mechanism to release the payload from the line.

Abstract: Embodiments described herein may help to provide support via a fleet of unmanned aerial vehicles (UAVs). An illustrative medical-support system may include multiple UAVs, which are configured to provide support for a number of different situations. Further, the medical-support system may be configured to: (a) identify a remote situation, (b) determine a target location corresponding to the situation, (c) select a UAV from the fleet of UAVs, where the selection of the UAV is based on a determination that the selected UAV is configured for the identified situation, and (d) cause the selected UAV to travel to the target location to provide support.

Abstract: Methods and systems disclosed herein relate to determining a projected change in bandwidth demand in a specified area during a specified future time period, repositioning one or more balloons in a high-altitude balloon network based on the projected change in bandwidth demand, and providing, using the one or more balloons, at least a portion of the bandwidth demanded in the specified area during the specified future time period.

Abstract: Embodiments described herein may relate to an unmanned aerial vehicle (UAV) navigating to a target in order to provide medical support. An illustrative method involves a UAV (a) determining an approximate target location associated with a target, (b) using a first navigation process to navigate the UAV to the approximate target location, where the first navigation process generates flight-control signals based on the approximate target location, (c) making a determination that the UAV is located at the approximate target location, and (d) in response to the determination that the UAV is located at the approximate target location, using a second navigation process to navigate the UAV to the target, wherein the second navigation process generates flight-control signals based on real-time localization of the target.

Abstract: A method and apparatus for gesture interaction with a photo-active painted surface is described. The method may include driving a spatial electromagnetic modulator to emit electromagnetic stimulation in the form of an image to cause photo-active paint to display the image. The method may also include capturing, with at least a camera of a painted surface display system, image data of the image displayed on the photo-active paint applied to a surface and a user motion performed relative to the image. The method may also include analyzing the captured image data to determine a sequence of one or more physical movements of the user relative to the image displayed on the photo-active paint. The method may also include determining, based on the analysis, that the user motion is indicative of a gesture, and driving the spatial electromagnetic modulator to update.

Abstract: Embodiments described herein may help to provide medical support via a fleet of unmanned aerial vehicles (UAVs). An illustrative UAV may include a housing, a payload, a line-deployment mechanism coupled to the housing and a line, and a payload-release mechanism that couples the line to the payload, wherein the payload-release mechanism is configured to release the payload from the line. The UAV may further include a control system configured to determine that the UAV is located at or near a delivery location and responsively: operate the line-deployment mechanism according to a variable deployment-rate profile to lower the payload to or near to the ground, determine that the payload is touching or is within a threshold distance from the ground, and responsively operate the payload-release mechanism to release the payload from the line.