Abstract:
Systems and processes for operating an automated assistant are disclosed. In one example process, an electronic device provides an audio output via a speaker of the electronic device. While providing the audio output, the electronic device receives, via a microphone of the electronic device, a natural language speech input. The electronic device derives a representation of user intent based on the natural language speech input and the audio output, identifies a task based on the derived user intent; and performs the identified task.
Abstract:
Systems and processes for operating a digital assistant are provided. In accordance with one or more examples, a method includes, at a user device with one or more processors and memory, receiving unstructured natural language information from at least one user. The method also includes, in response to receiving the unstructured natural language information, determining whether event information is present in the unstructured natural language information. The method further includes, in accordance with a determination that event information is present within the unstructured natural language information, determining whether an agreement on an event is present in the unstructured natural language information. The method further includes, in accordance with a determination that an agreement on an event is present, determining an event type of the event and providing an event description based on the event type.
Abstract:
Systems and processes for operating a digital assistant are provided. In one example, a method includes receiving a first speech input from a user. The method further includes identifying context information and determining a user intent based on the first speech input and the context information. The method further includes determining whether the user intent is to perform a task using a searching process or an object managing process. The searching process is configured to search data, and the object managing process is configured to manage objects. The method further includes, in accordance with a determination the user intent is to perform the task using the searching process, performing the task using the searching process; and in accordance with the determination that the user intent is to perform the task using the object managing process, performing the task using the object managing process.
Abstract:
According to one aspect, systems and processes for assaying a plurality of nucleic acid samples are provided. In an exemplar}' process, a matrix is generated including pools and samples using a pooling scheme with decoding capability equal to a number D. Matrix organization includes assigning one pool in a set of pools per row by one sample in a set of samples per column. Sample assignment creates a known pattern of pools, wherein each sample in the set of pools is assigned a total number of D + 1 times and any two pools have at most one sample in common. Samples are pooled based on a pooling scheme, where pooled samples are assayed. Positive pools are determined and one or more positive samples are identified. The matrix is displayed as a visual pattern representing the known pattern of pools, the identified positive samples, and the determined positive pools.
Abstract:
Methods and systems related to variation assessment of a first 3D object are provided. In some embodiments, a computer system obtains a first dataset and a second dataset. The first dataset represents data associated with a first evaluation of the first 3D object and the second dataset represents data associated with a second evaluation of the first 3D object. The computer system determines a first metric based on the first dataset and a second metric based on the second dataset. The first and second metrics represent distributions of probabilities with respect to values associated with the characteristic of the first 3D object at the first and second evaluations, respectively. The computer system further provides, based on the first metric and the second metric, an assessment of the first 3D object variation between the first evaluation and the second evaluation.
Abstract:
Systems and processes are disclosed for operating a digital assistant in a media environment. In an exemplary embodiment, a user can interact with a digital assistant of a media device while content is displayed by the media device. In one approach, a plurality of exemplary natural language requests can be displayed in response to detecting a user input of a first input type. The plurality of exemplary natural language requests can be contextually-related to the displayed content. In another approach, a user request can be received in response to detecting a user input of a second input type. A task that at least partially satisfies the user request can be performed. The performed task can depend on the nature of the user request and the content being displayed by the media device. In particular, the user request can be satisfied while reducing disruption to user consumption of media content.
Abstract:
Systems and processes for detecting an event within natural language are provided. In one example of a process, unstructured natural language information may be received from at least one user. The presence of event information in the unstructured natural language information may be determined. In accordance with a determination that event information is present within the unstructured natural language information, a pseudo-event entry associated with that event information may be generated.
Abstract:
Systems and processes for selectively processing and responding to a spoken user input are provided. In one example, audio input containing a spoken user input can be received at a user device. The spoken user input can be identified from the audio input by identifying start and end-points of the spoken user input. It can be determined whether or not the spoken user input was intended for a virtual assistant based on contextual information. The determination can be made using a rule-based system or a probabilistic system. If it is determined that the spoken user input was intended for the virtual assistant, the spoken user input can be processed and an appropriate response can be generated. If it is instead determined that the spoken user input was not intended for the virtual assistant, the spoken user input can be ignored and/or no response can be generated.
Abstract:
A multi-functional active container (e.g., luggage or suitcase) with a plurality of sensors and actuators is described. The container may include a body defining an enclosure and having at least one opening. The container may include a processor, a wireless receiver, and an electronically controllable lock. The processor can selectively lock or unlock the electronically controllable lock based on signals received via a wireless receiver (e.g., via Wi-Fi or BLUETOOTH connections). In some examples, a distance between the active container and a remote device (e.g., a smart phone) can be determined (e.g., based on relative GPS signals or connection strength) and if the distance exceeds a threshold, the electronically controllable lock can be activated to secure the container. Further, the container may include a rechargeable power source for powering external devices and an integrated weight sensor for detecting the weight of the container.
Abstract:
According to one aspect, an apparatus and method for electrically igniting and throttling pyroelectric propellant, e.g., in a rocket engine, are provided. In one example, an apparatus includes an injector body for supplying an electrically ignitable propellant to a combustion chamber and a opposing electrodes. A first electrode may be included with the injector body and a second electrode positioned relative to the first electrode to cause ignition of the electrically ignitable propellant as the electrically ignitable propellant flows thereby.