Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for suggesting training examples. In one aspect, a method includes receiving a plurality of training examples. A plurality of different types of predictive models are trained using the received training examples, wherein each of the predictive models implements a different machine learning technique. The performance of each trained model is measured. A suggestion score is computed for each training example according to each respective trained model, including weighting each suggestion score by the measured performance of the respective trained model. The computed suggestion scores for each training example are combined to compute an overall suggestion score for each training example, and the training examples are ranked by suggestion scores.
Abstract:
A heat dissipating apparatus in an electrical device includes a air duct. The air duct includes an air inlet and an air outlet. A plurality of ventilation members are attached to the air inlet and the air outlet thereof. Each ventilation member defines a number of ventilation holes of a certain size calculated to keep EMI out. A coated layer formed on an inner surface of the air duct to shield electromagnetic waves which may be generated by the electrical components of the device.
Abstract:
A surface treatment structure formed on a circuit pattern on a printed circuit board is provided, which includes a first gold layer, a palladium layer, and a second gold layer stacked from bottom to top, respectively, or includes a palladium layer, and a second gold layer stacked from bottom to top, respectively. The palladium layer is used to prevent the diffusion of the copper ions from the circuit pattern. Only a thin surface treatment structure of the circuit pattern of the present invention is required to achieve excellent wire bonding, so that the overall thickness is reduced, and the manufacture cost is also reduced. Furthermore, the uniformness of palladium is better than that of nickel, and thereby the surface treatment structure of the circuit pattern of the present invention is suitably used for manufacturing the fine-line circuits, thereby having a wider industrial applicability.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for training and retraining predictive models. A series of training data sets for predictive modeling can be received, e.g., over a network from a client computing system. The training data included in the training data sets is different from initial training data that was used with multiple training functions to train multiple trained predictive models stored in a predictive model repository. The series of training data sets are used with multiple trained updateable predictive models obtained from the predictive model repository and multiple training functions to generate multiple retrained predictive models. An effectiveness score is generated for each of the retrained predictive models. A first trained predictive model is selected from among the trained predictive models included in the predictive model repository and the retrained predictive models based on their respective effectiveness scores.
Abstract:
Photovoltaic cells (e.g., p-CdTe thin film photovoltaic cells) comprising a back contact buffer layer that makes low-resistance electrical contact to the p-type semiconductor material of the cell (e.g., CdTe). The back contact buffer material comprises Cu and Te.
Abstract:
The present invention provides a dynamic random access memory (DRAM) including a plurality of transistors formed in a semiconductor substrate, wherein each of the transistors includes a vertical channel region. A plurality of bit line contained trenches is formed in the semiconductor substrate. Each of the bit line contained trenches comprises two bit lines, and each of the bit lines is electrically connected to an adjacent transistor. Each two sidewalls of each of the bit line contained trenches have a contact formed thereon. A plurality of word lines are formed over the plurality of bit lines and electrical connect to the plurality of transistors. Furthermore, a method for fabricating the DRAM is also provided.
Abstract:
An asymmetrical planar transformer having controllable leakage inductance is provided. The asymmetrical planar transformer includes a circuit board, a winding rack, a primary winding, a secondary winding, and a magnetic core assembly. Via hole is formed on circuit board. Winding rack includes several annular plates, a tubular shell, and a through hole. The first, second, and third annular plates are arranged in parallel. Position of through hole is corresponding to that of via hole. Primary winding is disposed between first and second annular plates, and is electrically connected with circuit board. Secondary winding, with annular shape, is disposed between second annular plate and third annular plate, and is electrically connected with circuit board. Magnetic core assembly includes magnetic column which is passed through via hole of circuit board and through hole of winding rack. Through hole is extended through secondary winding, first annular plate, second annular plate, and third annular plate.
Abstract:
Methods include the actions of storing a first predictive model in computer-readable memory, the first predictive model having been defined based on a first training dataset provided by an owner of the first predictive model and being operable to generate an output based on a query, enabling access to the first predictive model based on permissions defined by the owner, while inhibiting access to the first training dataset, receiving a second training dataset from a user, the second training dataset being distinct from the first training dataset, modifying the first predictive model based on the second training dataset to provide a second predictive model, storing the second predictive model in computer-readable memory, and enabling access to the second predictive model.
Abstract:
An LED (Light-Emitting Diode) lighting device is provided. The LED lighting device comprises an LED module, a lamp cover, and a phosphor layer. The LED module comprises a circuit board comprising a driving circuit and a plurality of LEDs mounted on the circuit board and driven by the driving circuit so as to emit light of 300-700 nm in wavelength. The lamp cover is configured to shield the LED module. The phosphor layer is coated on an inner surface of the lamp cover towards the LED module and configured to transform the light of 300-700 nm in wavelength to a luminary light of 400-700 nm in wavelength.
Abstract:
Methods, systems, and apparatus, for selecting a trained predictive models. A request is received from a client-subscriber computing system for access to a trained predictive model that can generate a predictive output in response to receiving input data having one or more input types. Information that describes each of the trained predictive models in a predictive model repository can be used to determine that one or more models included in the repository match the request. Determining a match can be based (at least in part) on a comparison of the one or more input types to input types included in the information that describes the trained predictive models. Access is provided to at least one of the models to the client-subscriber computing system. The models that match the request are models that were trained using training data provided by a computing system other than the client-subscriber computing system.