Abstract: Authenticating users comprises a computing device that receives a manual authentication input of a user and initiates a first user session between the user and the user computing device. The device communicates a request for a first user authorization data from an authentication technology associated with the one or more computing devices and receives the first user authentication data. The user or the device terminates the first user session and subsequently receives an input of the user to initiate a second user session. The device communicates a request for second user authentication data from the authentication technology and compares the first user authentication data and the second user authentication data. The device identifies a match of one or more features of the first user authentication data and one or more features of the second user authentication data and authorizes the user to conduct the second user session.

Abstract: A Driver State Monitoring System prevents any casualty on the road because of drowsiness while driving. It is an in-vehicle, vision-based electronic system for automobiles. It utilizes a camera installed on the vehicle facing towards the driver. It captures the edge-based face features of the driver. Thereafter, the real time image processor extracts the desired image from the image and estimates the correct position of the eye, the nose and the head orientation of the driver's face based on the predetermined values. The signal generator generates a warning signal when there is any abnormality detected based on the output of the status examination result generated by the real time image processor. These signals can be can be an acoustic signal, a videft signal, a photonic signal or a haptic signal.

Abstract: Authenticating users comprises a computing device that receives a manual authentication input of a user and initiates a first user session between the user and the user computing device. The device communicates a request for a first user authorization data from an authentication technology associated with the one or more computing devices and receives the first user authentication data. The user or the device terminates the first user session and subsequently receives an input of the user to initiate a second user session. The device communicates a request for second user authentication data from the authentication technology and compares the first user authentication data and the second user authentication data. The device identifies a match of one or more features of the first user authentication data and one or more features of the second user authentication data and authorizes the user to conduct the second user session.

Abstract: Authenticating users comprises a computing device that receives a manual authentication input of a user and initiates a first user session between the user and the user computing device. The device communicates a request for a first user authorization data from an authentication technology associated with the one or more computing devices and receives the first user authentication data. The user or the device terminates the first user session and subsequently receives an input of the user to initiate a second user session. The device communicates a request for second user authentication data from the authentication technology and compares the first user authentication data and the second user authentication data. The device identifies a match of one or more features of the first user authentication data and one or more features of the second user authentication data and authorizes the user to conduct the second user session.

Abstract: A memory cell includes a first resistive memory element, a second resistive memory element electrically coupled with the first resistive memory element at a common node, and a switching element comprising an input terminal electrically coupled with the common node, the switching element comprising a driver configured to float during one or more operations.

Abstract: Embodiments are provided for mutually authenticating a pair of electronic devices. According to certain aspects, the electronic devices may connect to each other via an out-of-band communication channel. The electronic devices may each output audio signals and detect audio signals output by the other electronic devices. Based on timestamps associated with audio output and detection events, each of the electronic devices may calculate relevant time and distance parameters, and transmit the calculated parameters to the other electronic device via the out-of-band communication channel. The electronic devices may compare the calculated parameters to determine mutual authentication.

Abstract: A method for authenticating a user using a user device connected to a communications network, the method comprising an implicit phase, wherein said implicit phase comprises performing at least one task within a workflow, said at least one task necessary to move forward within said workflow; storing information associated with said performing of at least one task; comparing said stored information with a stored user profile; and determining whether said authentication of said user is successful or unsuccessful based on said comparing.

Abstract: The present disclosure provides systems and techniques for efficient locking of datasets in a database when updates to a dataset may be delayed. A method may include accumulating a plurality of updates to a first set of one or more values associated with one or more features. The first set of one or more values may be stored within a first database column. Next, it may be determined that a first database column update aggregation rule is satisfied. A lock assigned to at least a portion of at least a first database column may be acquired. Accordingly, one or more values in the first set within the first database column may be updated based on the plurality of updates. In an implementation, the first set of one or more values may be associated with the first lock.

Abstract: A memory device includes an array of resistive memory cells. Each resistive memory cell in the array includes a first resistive memory element, a second resistive memory element, and a two-terminal switching element. The first resistive memory element is electrically coupled to the second resistive memory element and to the switching element at a common node.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a factorization model to learning features of model inputs of a trained model such that the factorization model is predictive of outcome for which the machine learned model is trained.

Abstract: Embodiments are provided for mutually authenticating a pair of electronic devices. According to certain aspects, the electronic devices may connect to each other via an out-of-band communication channel. The electronic devices may each output audio signals and detect audio signals output by the other electronic devices. Based on timestamps associated with audio output and detection events, each of the electronic devices may calculate relevant time and distance parameters, and transmit the calculated parameters to the other electronic device via the out-of-band communication channel. The electronic devices may compare the calculated parameters to determine mutual authentication.

Abstract: A memory device includes a local bit line coupled to a plurality of memory cells and a global bit line through first and second selectable parallel paths having first and second impedances, respectively. The first path is active in at least one of a set operation or a forming operation and the second path is active in a reset operation. A select device to select a memory element includes a drain having a first doping level and a source having a second doping level lower than the first doping level, wherein the device is configured to provide a break for vias first on impedance or a second on impedance to the or dummies resistive memory element in response to a control signal.

Abstract: A memory device includes an array of resistive memory cells wherein each pair of resistive memory cells includes a first switching element electrically coupled in series to a first resistive memory element and a second switching element electrically coupled in series to a second resistive memory element. A source of the first switching element and a source of the second switching element receive a common source line signal.

Abstract: Parallel processing of data may include a set of map processes and a set of reduce processes. Each map process may include at least one map thread. Map threads may access distinct input data blocks assigned to the map process, and may apply an application specific map operation to the input data blocks to produce key-value pairs. Each map process may include a multiblock combiner configured to apply a combining operation to values associated with common keys in the key-value pairs to produce combined values, and to output intermediate data including pairs of keys and combined values. Each reduce process may be configured to access the intermediate data output by the multiblock combiners. For each key, an application specific reduce operation may be applied to the combined values associated with the key to produce output data.

Abstract: A memory device includes a plurality of resistive memory cells and a plurality of word lines. Each resistive memory cell includes a resistive memory element, a first switching element electrically coupled in series with the resistive memory element, and a second switching element electrically coupled in series with the first switching element. The first switching element and the second switching element in each resistive memory cell is coupled to different ones of the word lines.

Abstract: A memory cell includes a first resistive memory element, a second resistive memory element electrically coupled with the first resistive memory element at a common node, and a switching element comprising an input terminal electrically coupled with the common node, the switching element comprising a driver configured to float during one or more operations.

Abstract: A semiconductor device comprises a recessed access device that includes a first pillar, a second pillar, a channel region connecting the first and second pillars, and a gate disposed over the channel region. The channel region has a width that is narrower than widths of the first pillar and the second pillar. An array of recessed access devices comprises a plurality of pillars protruding from a substrate, and a plurality of channel regions. Each channel region has a width that is less than about 10 nm and couples neighboring pillars to form a plurality of junctionless recessed access devices. A method of forming at least one recessed access device also comprises forming pillars over a substrate, forming at least a channel region coupled with the pillars, the channel region having a relatively narrow width, and forming a gate at least partially surrounding the channel region on at least three sides.

Abstract: An authentication method for use in a device and comprises monitoring a program behavior stream comprising a plurality of program observables that comprises a program observable. The method records the program observable and matches the recorded first program observable to a program model selected from a plurality of program models stored within a program store. A user model is selected from a plurality of user models stored within a user store corresponding to the program model. A user behavior stream corresponding to the program observable is monitored and a user observable contained in the user behavior stream is recorded. The user observable is correlated to the user model and an authentication state associated with the device is determined based on the correlating.

Abstract: Implementations of the disclosed subject matter provide methods and systems for using a multistage learner for efficiently boosting large datasets in a machine learning system. A method may include obtaining a first plurality of examples for a machine learning system and selecting a first point in time. Next, a second point in time occurring subsequent to the first point in time may be selected. The machine learning system may be trained using m of the first plurality of examples. Each of the m examples may include a feature initially occurring after the second point in time. In addition, the machine learning system may be trained using n of the first plurality of examples, and each of the n examples may include a feature initially occurring after the first point in time.

Abstract: Embodiments are provided for mutually authenticating a pair of electronic devices. According to certain aspects, the electronic devices may connect to each other via an out-of-band communication channel. The electronic devices may each output audio signals and detect audio signals output by the other electronic devices. Based on timestamps associated with audio output and detection events, each of the electronic devices may calculate relevant time and distance parameters, and transmit the calculated parameters to the other electronic device via the out-of-band communication channel. The electronic devices may compare the calculated parameters to determine mutual authentication.