Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve deep learning resource efficiency. An example apparatus includes a graph monitor to select a candidate operation node in response to receiving an operation graph, the operation graph including one or more other operation nodes, a node rule evaluator to evaluate the candidate operation node based on an operating principle, the operating principle to determine an output storage destination of the candidate operation node based on a topology of the operation graph, and a tag engine to tag the candidate operation node with a memory tag value based on the determined output storage destination.

Abstract: Methods and systems are disclosed using camera devices for deep channel and Convolutional Neural Network (CNN) images and formats. In one example, image values are captured by a color sensor array in an image capturing device or camera. The image values provide color channel data. The captured image values by the color sensor array are input to a CNN having at least one CNN layer. The CNN provides CNN channel data for each layer. The color channel data and CNN channel data is to form a deep channel image that stored in a memory. In another example, image values are captured by sensor array. The captured image values by the sensor array are input a CNN having a first CNN layer. An output is generated at the first CNN layer using the captured image values by the color sensor array. The output of the first CNN layer is stored as a feature map of the captured image.

Abstract: A multi-tier domain is provided for processing user voice queries and making routing decisions for generating responses, including for user voice queries that include multi-domain trigger words or phrases. When an utterance is recognized as different intents in different domains, a routing system for a domain may consider contextual signals, including those associated with other domains, to determine whether the domain is the proper one to handle the request. This determination can be performed with a statistical model specifically trained to make such determinations using the available contextual data.

Abstract: A speech processing system uses contextual data to determine the specific domains, subdomains, and applications appropriate for taking action in response to spoken commands and other utterances. Some applications may be given priority over others such that some applications are general request applications to which responsibility for processing an intent is to be assigned as long as contextual criteria are satisfied, while other applications are specific request applications to which responsibility for processing an intent is to be assigned only if the applications are specifically requested, if the contextual criteria of priority applications are not satisfied, and/or if certain contextual criteria associated with the specific request applications are satisfied.

Abstract: A speech processing system uses contextual data to determine the specific domains, subdomains, and applications appropriate for taking action in response to spoken commands and other utterances. The system can use signals and other contextual data associated with an utterance, such as location signals, content catalog data, data regarding historical usage patterns, data regarding content visually presented on a display screen of a computing device when an utterance was made, other data, or some combination thereof.

Abstract: The present disclosure discloses an optical module including a circuit board and a light-emitting assembly. In the light-emitting assembly, a wavelength tuning mechanism is formed of a semiconductor optical amplification chip, a silicon optical chip and a semiconductor refrigerator. The semiconductor optical amplification chip may provide a plurality of wavelengths, and a wavelength selection is carried out by an optical filter in the silicon optical chip; a temperature adjustment for the optical filter is achieved by the semiconductor refrigerator, so as to further adjust a performance of the filter for wavelength selection. The above device is provided in a housing to facilitate packaging of the devices.

Abstract: An optical module includes a shell, a circuit board, a display light and a light guide pipe. The circuit board is disposed in the shell. The display light is disposed on the circuit board, and is configured to emit light of different colors. The light guide pipe is disposed between the shell and the circuit board. An input end of the light guide pipe is arranged to correspond to the display light, an output end of the light guide pipe is configured to transmit light emitted by the display light to an outside of the optical module. The shell includes a groove. The output end of the light guide pipe is fixed in the groove, so that the shell is fixed with the light guide pipe.

Abstract: Provided herein is a method for the prevention, delay of progression or treatment of cancer in a subject, comprising administering to the subject in need thereof a multi-tyrosine kinase inhibitor, N-(3-fluoro-4-((2-(5-(((2-methoxyethyl)amino)methyl)pyridin-2-yl)thieno[3, 2-b]pyridin-7-yl)oxy)phenyl)-N-(4-fluorophenyl)cyclopropane-1, 1-dicarboxamide or a pharmaceutically acceptable salt thereof, in combination with an immune checkpoint inhibitor. Also, provided a pharmaceutical combination comprising a multi-tyrosine kinase inhibitor, N-(3-fluoro-4-((2-(5-(((2-methoxyethyl)amino)methyl)pyridin-2-yl)thieno[3, 2-b]pyridin-7-yl)oxy)phenyl)-N-(4-fluorophenyl)cyclopropane-1, 1-dicarboxamide or a pharmaceutically acceptable salt thereof, in combination C with an immune checkpoint inhibitor and the use thereof.

Abstract: A pose estimation method includes obtains an event stream from an event-based vision sensor configured to capture a target object to which light-emitting devices flickering at a predetermined first frequency are attached, obtains a polarity change period of at least one pixel based on the event stream, generates an image frame sequence using at least one target pixel having a polarity change period corresponding to the first frequency, among the at least one pixel, extracts a feature sequence including feature vectors corresponding to the at least one target pixel, from the image frame sequence, and estimates a pose sequence of the target object by applying the feature sequence to a deep neural network (DNN) model.

Abstract: A wavelength selective switch, including: an optical fiber array, an optical signal processing device and an output selection device. The optical fiber array includes multiple dual-core optical fibers arranged in parallel, one dual-core optical fiber being used for inputting two optical signals; the optical signal processing device is located at an output end of the optical fiber array and is used for splitting the two optical signals into sub-signals of different wavelengths and projecting the sub-signals of different wavelengths to different spectral band regions in the output selection device; and the output selection device is located at the rear end of the optical signal processing device, and is used for processing the sub-signals projected to the spectral band regions, so as to respectively perform output selection on the sub-signals split from two optical signals, thereby achieving a dual-switch function.

Abstract: A fiber-reinforced aerogel is disclosed. The aerogel can include a porous organic polymer matrix and fibers included in the porous organic polymer matrix. The aerogel can include a thermal conductivity of less than or equal to 60 mWIm·K at a temperature of 20° C., at least a bimodal pore size distribution with a first mode of pores having an average pore size of less than or equal to 50 nanometers (nm) and a second mode of pores having an average pore size of greater than 50 nm, and a planar shape having a thickness of 5 millimeters (mm) or less and is capable of being rolled up into a roll, wherein the fibers form a woven fiber matrix.

Abstract: Methods and systems are disclosed using an execution pipeline on a multi-processor platform for deep learning network execution. In one example, a network workload analyzer receives a workload, analyzes a computation distribution of the workload, and groups the network nodes into groups. A network executor assigns each group to a processing core of the multi-core platform so that the respective processing core handle computation tasks of the received workload for the respective group.

Abstract: The subject matter described herein is directed to compounds, synergistic compositions, and methods for repelling arthropods. The compositions comprise acids, esters, aldehydes, or alcohols of pyrethroid-type compounds. The compounds, particularly the pyrethroid-type acids, demonstrate excellent repellency when applied both alone and in synergistic compositions.

Abstract: The present disclosure discloses an information processing method performed at a computer server that is communicatively connected to a plurality of mobile terminals. The computer server receives a sharing request sent by a first terminal, where the sharing request carries a page link used to be linked to an information presentation page and an identifier of a first user currently logging into. The computer server then generates, according to the page link and the first user identifier, a sharing link used to be linked to the information presentation page and sends the sharing link to a second terminal of a second user identifier in a user relation chain of the first user identifier. Next, the computer server allocates virtual goods to the first user identifier according to a preset policy when it is determined that the second mobile terminal displays the information presentation page according to the sharing link.

Abstract: A method and apparatus for processing sparse points. The method includes determining spatial hierarchical point data based on a key point set and a local point set of a sparse point set, determining relationship feature data by encoding a spatial hierarchical relationship between points of the spatial hierarchical point data, generating a global feature and a local feature of the sparse point set through a conversion operation associated with the relationship feature data, and generating a processing result for the sparse point set based on the global feature and the local feature.

Abstract: System and methods are provided for reducing medial supply costs for healthcare providers by effectively leveraging tier pricing programs brought forth by suppliers. Tier contracts offered by healthcare clinical products suppliers are one of the most complex pricing schemes with many distinctive challenges. A hospital supply spend optimization system is disclosed that minimizes medical supply costs for healthcare providers, suggests optimal spends on individual suppliers by determining product and quantity to be purchased from each supplier, evaluates tiers qualified and assigns optimal tier prices to member hospitals, and recommends product substitution structure for cost minimization. The system may also be used to quantify the impact of physician preferences on hospital supply costs.