Abstract: The present invention relates to a prosthetic capsular bag and method for inserting the same. The prosthetic capsular bag helps to maintain the volume of the natural capsular bag, thereby stabilizing the effective lens position of an IOL so that refractive outcomes may be improved with cataract surgery. The prosthetic capsular bag further provides an integrated refractive surface, providing a means for experimentally determining an effective lens position prior to inserting an IOL.

Abstract: A seed orientation system for an agricultural planter includes a seed orientation coil assembly defining a helical pathway. As seed from a seed source enters the seed orientation coil assembly, air flow from an air source is directed toward the seed causing the seed to orient as the seed moves along the helical pathway toward a seed exit. Upon exiting the seed orientation coil assembly, the seed is deposited into the seed furrow with the seed tip-down and with germ of the seed facing an adjacent row. The seed orientation system may be retrofitted onto existing planter row units.

Abstract: A method is performed by a network node connected to one or more additional network nodes via a local area network (LAN). The network node and the one or more additional network nodes form a cloud. The method includes setting a first timer to a first value, the first timer being associated with determining whether one of the one or more additional network nodes is an active controller in the cloud. The method includes starting the first timer. The method includes determining, before the first timer expires, whether a first message that indicates the one of the one or more additional network nodes is the active controller is received. Based on determining the first message is received before the first timer expires, the method includes synchronizing with the one of the one or more additional network nodes that is the active controller, and restarting the first timer.

Abstract: An illumination system for eye tracking is described herein. The illumination system may include a laser light source and an ultra-fast scanning micro-electromechanical system (MEMS) operating at a frequency range from about 10 kHz to about 100 kHz to reflect laser light to the eye and generating a desired fringe pattern controlling intensity and timing. A surface of the MEMS may include diffractive optical element (DOE) to reflect the laser light as a concentrated optical beam. The light may also be projected by grating-based illuminators on a photonic integrated circuit (PIC) controlled through adiabatic couplers projecting multiple binary/grayscale images onto the eye. On the detection side, a 2D single-photon avalanche diode (SPAD) sensor or a SPAD array detector and an active MEMS shutter array may be used. Compressive sensing techniques may be applied on the detection side.

Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to deduplicate common devices across multiple data sources are disclosed. An example apparatus includes instructions to identify a first device in a first data source and a second device in a second data source as a possible common device, calculate at least one of a station duration metric, a time match metric or a station path metric, the station duration metric, the time match metric based times of day that the first device tuned to a second set of stations and times of day that the second device tuned to the second set of stations, determine a score based on the at least one of the station duration metric, the time match metric, or the station path metric, and determine when the first device and the second device are a common device based on the score.

Abstract: Methods of and systems for forming pipe insulation are disclosed. The pipe insulation has properties that are non-homogenous through its thickness.

Abstract: A radio communication route enables communication from an originating ground station to a destination ground station via one of multiple randomly orbiting, rotating satellites with no active attitude control. The ground stations and satellites include directional antennas for receiving radio signals from and transmitting radio signals in multiple directions. The satellites store an address of a destination ground station from which an initial information signal is transmitted and antenna information identifying the satellite antenna on which the initial information signal was received. Plural satellite antennas transmit linking information identifying the satellite to the originating ground station.

Abstract: Circuitry is provided that includes a first die, a second die, and a third die that are vertically stacked. The second die may have a front side facing the third die and a back side facing the first die. The first die can include a plurality of single-photon avalanche diodes (SPADs). The second die can include a plurality of switches coupled to cathode terminals of the plurality of SPADs in the first die. The third die can include digital readout logic coupled to the plurality of switches in the second die. The plurality of switches in the second die can be power using a high voltage and are sometimes referred to as analog high voltage switches. The digital readout logic in the third die can be power using a voltage that is lower than the high voltage being used to power the second die.

Abstract: For security reasons, a one-way Ethernet communication link is implemented to segregate edge devices for an autonomous vehicle (AV) from the AV compute system. A non-feature rich backchannel allows very limited amounts of data to be transmitted from the edge devices side to the AV compute side. It is a challenge to query information about the edge devices when the backchannel only allows enumerated type data values to be transmitted. To address this concern, the customer-facing access point includes a relay endpoint that operates as a proxy to a web server that manages the edge devices and encodes responses as enumerated type data values to be transmitted over the backchannel.

Abstract: A vehicle includes a frame configured to pivot relative to a support surface through both positive and negative roll angles and a wheel support coupled to the frame. The wheel support includes an axle mounting portion. An axle defining an axis of rotation is mounted to the wheel support at the axle mounting portion. A downforce generating system is mounted to the wheel support between the frame and the axle mounting portion. The downforce generating system includes a wing support mounted to the wheel support and a downforce generating wing pivotally mounted to the wing support. The downforce generating wing includes an aerodynamic surface having a leading edge. The downforce generating system is configured to maintain a substantially horizontal orientation of the leading edge relative to the support surface as the frame pivots between the positive and the negative roll angles.

Abstract: Techniques for generating one or more images of a space in one or more target styles using a generative machine learning model is described. Furnishing products similar to furnishings detected in the generated images are identified in a catalog of furnishing products and information about the identified furnishing products is provided to a user via a user interface. Also describes are techniques for generating modified images of a space using a generative machine learning model. Furnishing products similar to alternative furnishings in modified image are identified in the catalog of furnishing products and information about the identified furnishing products is provided to a user via a user interface.

Abstract: A security system for a fluid filtration device and, more particularly, a security system that is adapted to pair a filter with a fluid filtration device, log an effectiveness of each individually serialized filter, prevent re-usage of a filter in more than one filtration device and prevent usage of a filter for greater than its preprogrammed lifespan.

Abstract: Particular embodiments described herein provide for modular device assemblies and methods for enabling maintenance and servicing, particularly by an unmanned aerial vehicle. A device assembly comprises a plurality of modules, each module having control circuitry, a communications port and contact points to couple the modules. When the modules are coupled, the communications ports are connected to create a bus for communications between the modules. The modular device structure where modules are removable and replaceable allows for an unmanned aerial vehicle to perform maintenance on the device.

Abstract: A fitting for a fiber trough. The fitting includes a bottom cable support surface and a pair of opposite side walls extending from the bottom cable support surface that define a channel. The fitting is mounted to a fiber trough so that the channel is positioned within another channel defined by the fiber trough, isolating a cable routing path defined by the fitting channel from a cable routing path defined by the trough channel.

Abstract: Disclosed are embodiments for facilitating an integrated autonomous vehicle signal quality-based review recommendation system. In some aspects, an embodiment includes receiving performance results corresponding to tests performed using simulated mileage accumulation of at least one simulated autonomous vehicles (AV); filtering the tests based on validity information of the tests, wherein the tests that are identified as invalid are discarded; filtering the performance results of the tests identified as valid based on performance criteria to provide a set of selected tests; performing a sensitivity analysis on the set of selected tests to determine a trustworthiness signal for each selected test in the set of selected tests; and ranking and recommending one or more of the selected tests in the set of selected tests using a centralized ranking technique that considers the performance results and the trustworthiness signal of the selected tests.

Abstract: Novel tools and techniques are provided for implementing block-level, bit-mapped binary data access for parallel processing. In various embodiments, a computing system may cause a plurality of compute nodes to perform one or more tasks (e.g., artificial intelligence (“AI”) and/or machine learning (“ML”) tasks) on portions of decompressed data, after causing some, but not all, of the compute nodes to decompress the entire compressed data. In some cases, the computing system may cause each compute node to decompress portions of the compressed data. Once the data has been decompressed and/or bit-mapped, each compute node may be caused to perform at least one task (e.g., AI/ML task) on its assigned portion of the decompressed data. Different portions of the same decompressed data may be processed with the same (AI/ML) algorithm, or the same portions of the same decompressed data may be processed with a different (AI/ML) algorithm, or a combination thereof.

Abstract: A colorimetric radiation detector and a method for detecting radiation is disclosed. The colorimetric radiation detector also includes a metal oxyhalide that reaches an excited state on exposure to x-ray or ultraviolet radiation. The detector also includes a dye or where the metal oxyhalide is a bismuth oxyhalide, such as a bismuth oxychloride. The dye may include a redox reactive dye. The redox reactive dye may include Rhodamine B. The dye undergoes a permanent color change by reacting with the metal oxyhalide when the metal oxyhalide is exposed to x-ray or ultraviolet radiation. The dye may include a fluorescent dye, such as a fluorescein dye, such as 6-carboxy fluorescein or 5-carboxy fluorescein. The solvent may include a Lewis base solvent. The Lewis base solvent may include water or an alcohol. A method for evaluating a photoprotective topical lotion is also disclosed.

Abstract: A hosting system to facilitate connecting to multiple cloud providers may comprise a first cloud exchange; a second cloud exchange; one or more cloud point-of-presence (PoPs) communicatively coupled to the first and second cloud exchanges; a software-defined network (“SDN”) automation engine; a data collection layer; an artificial intelligence (AI) layer comprising one or more AI modeling engines configured to deploy one or more AI models; and a non-transitory computer readable medium comprising computer program instructions that when executed by a processor cause the system to generate a real-time conversational agent (a “chat-bot”), display the chat-bot on a user device, receive input comprising network specification parameters via the chat-bot, convert the input into one or more commands, generate a customized, on-demand SDN that complies with the network specification parameters, capture and model user data and network data, and automatically initiate one or more actions responsive to the modeling.

Abstract: In aspects of adaptive depth of field for noncircular aperture, a camera device includes a camera imager with a noncircular aperture. The camera imager captures image content at a depth of field, and the image content has an identifiable characteristic resulting from the noncircular aperture of the camera imager. The camera device implements a content manager that adaptively adjusts a perceived depth of field to sharpen a portion of the image content based on the identifiable characteristic resulting from the noncircular aperture of the camera imager.

Abstract: Systems and methods are described herein for increasing the efficiency of generating training data. Specifically, the systems and methods relate to increasing the efficiency and accuracy of data labeling, particularly in instances of dynamically updated datasets of unlabeled data. For example, many applications of artificial intelligence models require real-time processing in order to generate usable results, which itself creates a technical hurdle. To further exacerbate this problem, many of the artificial intelligence models that provide this real-time processing require real-time or near-real-time training as new data is received in order to maintain their accuracy. These processing requirements create fundamental challenges in generating training data in instances of dynamically updated datasets of unlabeled data.