Abstract: Implementations are provided for organizing and/or managing files and/or folders within filesystem hierarchies. In various implementations, an input prompt for a generative model may be assembled to include data indicative of: one or more files to be filed within a given filesystem hierarchy, and one or more filesystem hierarchies. The input prompt may be processed using the generative model to generate one or more recommendations of one or more folders within the given filesystem hierarchy for storing one or more of the files. Output may be rendered to convey one or more of the recommendations, which may be accepted to automatically implement the recommendations in some cases.

Abstract: A computer-implemented method for simulating quantum hardware performance can include accessing, by a computing system including one or more computing devices, a quantum hardware sample generation model configured to generate quantum hardware samples. The quantum hardware sample generation model can include one or more quantum hardware parameters. The computer-implemented method can include sampling, by the computing system, a quantum hardware sample from the quantum hardware sample generation model. The computer-implemented method can include obtaining, by the computing system, one or more simulated performance measurements based at least in part on the quantum hardware sample.

Abstract: The disclosure is directed to a waveguide assembly within a non-reciprocal electronic device (e.g., a circulator). The waveguide assembly may include a ferrite member, a magnetic member, and a pole assembly. The pole assembly, in combination with at least the ferrite member and the magnetic member forms a magnetic circuit. The pole assembly has a spatial variance of a magnetic reluctance. The spatial variance of the magnetic reluctance of the pole assembly provides an increase in a uniformity of a magnetic flux throughout a volume of the ferrite member. A non-reciprocal property of the electronic device is enhanced due to the increase in the uniformity of the magnetic flux throughout the volume of the ferrite member.

Abstract: A method includes training, using a first computing system having a first configuration, a first machine learning model having a machine learning model architecture, and training, using a second computing system having a different second configuration, a second machine learning model having the machine learning model architecture. The method also includes determining, for a shared training operation performed by both the first computing system and the second computing system, a similarity measure that represents a similarity between: a first training output generated by the first computing system during performance of the shared training operation during training of the first machine learning model; and a second training output generated by the second computing system during performance of the shared training operation during training of the second machine learning model.

Abstract: A method includes receiving, at a security platform, a plurality of threat indicators associated with current intrusive activities with respect to computing resources of a first entity and receiving, at the security platform, a plurality of threat datasets associated with prior intrusive activities with respect to computing resources associated with one or more entities including the first entity. The method further includes receiving, at the security platform, a plurality of environmental datasets associated with the computing resources of the first entity and determining an alert level associated with a first threat indicator of the plurality of threat indicators based on the plurality of threat datasets and the plurality of environmental datasets. The method further includes generating, responsive to the alert level satisfying an alert threshold criterion, an alert associated with the first threat indicator for one or more users of the first entity.

Abstract: The present disclosure is a decentralized Software Defined Network (dSDN) which runs individual dSDN controllers at each router in the network, disseminating network state via an inter-router communication protocol. In some examples, the dSDN is an underlay and is coexistant with an out-of-band software defined network (SDN) control plane, thus achieving a unified architecture that applies across both overlay and underlay. In both the overlay and the underlay, path computation is based on global state, such as a complete view of a network connectivity graph and traffic demands. An end-to-end path that a packet takes may be determined by a localized computation that is run at a single node, such as an SDN controller in the overlay or a head-end router in the dSDN underlay. The network may be partitioned into domains and the same approach may be applied within and across domains.

Abstract: This disclosure describes an extended closure sensor design for an electronic device. An electronic device (300) senses, with a magnetic sensor (306), an open or a closed position of the electronic device (300). A lid magnetic field is propagated through a ferromagnetic material (304) by a lid magnet (302) when a lid (310) or similar component of the electronic device (300) is in the closed position, thereby placing the lid magnetic field incident upon the magnetic sensor (306). In the open position, the lid magnetic field is materially absent and a bias magnet (308) causes a bias magnetic field to be incident upon the magnetic sensor (306).

Abstract: Various arrangements for establishing a link between two electronic devices are presented herein. A pairing mode may be activated to establish the link. A first electronic wireless device can determine that a distance to a second wireless electronic device meets a distance threshold criterion. In response to the pairing mode being activated and the distance to the second wireless electronic device meeting the distance threshold criterion, a graphic element, such as a glow effect, can be presented indicative of direction and distance to the second wireless electronic device.

Abstract: A method includes receiving, from a user, an embedded application view request requesting embedding of an application view within a host container. The application view is derived from a no-code application, and the no-code application is generated using a no-code application development environment. The embedded application view request includes a uniform resource locator (URL) referencing the no-code application and a data record of a dataset associated with the no-code application. The method includes obtaining credentials associated with the user and determining, using the credentials, that the user has access to the data record of the dataset. The method also includes, after determining that the user has access to the data record of the dataset, rendering, within the host container at an anchor location, an embedded application view based on the data record of the dataset.

Abstract: A method includes obtaining an input matrix and determining a domain index matrix that includes, for each respective input value of the input matrix, a corresponding domain index value that indicates a corresponding training data distribution of a plurality of training data distributions. The method also includes providing the input matrix and the domain index matrix to a machine learning model that has been trained using the plurality of training data distributions, where each respective training data distribution is associated with a different attribute. The method further includes generating, by the machine learning model and based on the input and the domain index matrices, an output matrix that includes, for each respective input value, a corresponding output value generated based on (i) the respective input value and (ii) the corresponding domain index value such that the corresponding output value exhibits the attribute of the corresponding training data distribution.

Abstract: This disclosure describes apparatuses, methods, and techniques for enabling a user to safeguard a computing device with a fingerprint identification system by using biometric data. The fingerprint identification system includes a fingerprint sensor used during an enrollment process of the user's biometric data. The biometric data may include fingerprint data from the user's thumb, finger, a plurality of fingers, palm, and so forth. The computing device uses a collocation of a user's touch, for example, a thumb-tap, and a fingerprint sensor's location to guide the user to complete the enrollment process of a full fingerprint with ease and with fewer thumb-taps. Consequently, the techniques enable biometric security with an enrollment process having a good user experience.

Abstract: The technology generally relates to systems and methods for generating and maintaining hashed data. Data entries may be applied to a hash function so as to produce a hash value for each data entry, and data entries may have duplicative hash values to other data entries. Lookup tables may be configured to dynamically assign locations within a hash table to particular hash values based on data entries that are received. In addition, the data entries may be added to one or more hash tables so that the data entries are packed efficiently.

Abstract: The present disclosure is directed towards systems and methods for improving analysis of sleep data by classifying users based on sleeper type. In particular, a wearable computing system can obtain a first set of motion sensor data from the motion sensor for a user during a first period. The wearable computing system can determine a sleeper type from a plurality of sleeper types for the user based on the first set of motion sensor data received from the motion sensor. The wearable computing system can select a sleep analysis model from a plurality of sleep analysis models based on the sleeper type determined for the user. The wearable computing system can use the selected sleep analysis model to analyze a second set of motion sensor data from a second period to determine one or more sleep characteristics for the user during the second period.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating output sequences using auto-regressive decoder neural networks. In particular, during generation, adaptive early exiting is used to reduce the time required to generate the output sequence.

Abstract: A sequence of syntax elements is received. A symbol is determined for a syntax element of the sequence. The symbol is entropy coded using arithmetic coding based on a linear combination of a first probability model and a second probability model. The first probability model is updated using a first time-variant update rate to produce a first updated probability model for entropy coding a symbol for a subsequent syntax element of the sequence. The second probability model is updated using a second time-variant update rate, different from the first time-variant update rate, to produce a second updated probability model for entropy coding the symbol for the subsequent syntax element.

Abstract: Randomized testing can be used to explore a set of possible transactions, schemas, and system states, including partionings, which can exist in a distributed database. The tests can be complementary to other system failure, performance, and version compatibility tests. Randomly generated transactions can be computed or evaluated at a transactor and compared to results derived from a transactor emulator.

Abstract: A light-emitting diode (LED) structure includes an active region that has at least one aluminum-containing quantum well (QW) stack that emits light from the LED structure when activated. The LED structure exhibits a modified internal quantum efficiency value, which is higher than a LED structure that does not include aluminum within a QW stack. The LED structure also exhibits a modified peak wavelength, which is longer than an unmodified peak wavelength of the unmodified LED structure.

Abstract: Methods and apparatus for monitoring chirp in a modulated light beam. The modulated light is passed through a variable dispersion element or “VDE”, and the light from the variable dispersion element is detected to yield a signal. A parameter which represents the strength of modulation in the light after passage through the VDE such as the peak intensity of the modulated light is measured as the VDE is controlled to vary the applied dispersion. The chip is determined from the variation of the parameter with dispersion, such as from the dispersions at which the parameter is at minima. The method can be applied to beams modulated by common digital transmitters used in optical communication systems.

Abstract: Various arrangements of wireless earbuds are presented. A first earbud, can include a first speaker, a first processing system, and a first wireless communication interface, that communicates with an audio source device using Bluetooth communications. A second earbud can include a second speaker, a second processing system, and a second wireless communication interface, that communicates with the audio source device and the first earbud using Bluetooth communications. The first earbud and the second earbud may be configured to wirelessly communicate with each other following completion of a first connected isochronous stream (CIS) event for the first earbud and second CIS event for the second earbud within a connected isochronous group (CIG) event.

Abstract: This document describes systems and techniques directed at extending touch-sensitive regions in electronic devices. In aspects, an electronic device includes a cover layer, a touch sensor panel, and an electronic visual display panel (“display panel”). The cover layer includes a top face and a side face. The touch sensor panel has a first sensing region corresponding to a surface of the top face and a second sensing region at least partially corresponding to a second surface of the side face. The display panel has an active area corresponding at least partially to the first surface of the top face. The active area of the touch sensor panel is greater than an active area of the display panel. Despite the display panel and the touch sensor panel having different active area sizes, an integrated circuit is configured to control both of them, maximizing an internal volumetric efficiency.