Abstract: A system and method for conservation of battery power in a portable medical device is provided. In one example, a processor arrangement includes a dual core processor having an ARM core and a DSP core. The portable medical device includes a monitor having the dual core processor, in communication with a belt node processor. The DSP core receives physiological data from the physiological sensor and sends the physiological data to the ARM core. The ARM core analyzes the physiological data to determine if a treatment sequence is necessary. The DSP core receives physiological data from the at least one physiological sensor and sends the physiological data to the ARM core, and also analyzes the physiological data to determine proper timing of the treatment sequence by the at least one therapy delivery device to synchronize at least one pulse of the treatment sequence with the physiological data.

Abstract: Systems and methods for incremental annotation of datasets are provided. For example, a group of labeled examples and a group of unlabeled examples may be obtained, a first inference model may be generated using the group of labeled examples, labels may be assigned to at least part of the group of unlabeled examples using the first inference model, confidence levels may be assigned to the assigned labels, a subset of the group of unlabeled examples may be selected using the confidence levels, and in some cases a second inference model may be generated using the selected subset and/or the corresponding assigned labels.

Abstract: Described is a system for adapting neural networks. The system receives inputs to be learned by a multi-layered spiking neural network. A first mechanism is implemented to adapt weights on the connections via competition among neurons using Hebbian learning. Activity levels of the neurons are stabilized to allow the multi-layered spiking neural network to learn the inputs. A second mechanism is implemented to increase a learning rate of a neuron over time using Hebbian learning. A third mechanism is implemented, wherein newly created neurons, representing new inputs, copy at least one synaptic structure of older neurons in the multi-layered spiking neural network. The mechanisms are used for continuous, online learning of the inputs to the multi-layered spiking neural network. An autonomous system, such as an autonomous vehicle, can use the learned inputs to learn from its environment and perform tasks, such as classification and prediction.

Abstract: A method includes storing configuration data for a Trusted Platform Module (TPM) in a pre-boot environment such as Unified Extensible Firmware Interface (UEFI), reading the configuration data, and automatically configuring the TPM based upon the configuration data. The configuring includes storing values of TPM parameters in non-volatile memory of the TPM. A method includes UEFI firmware of a circuit board on an assembly line configuring a TPM. An information handling system includes UEFI firmware and a TPM. The UEFI firmware configures the TPM from a configuration file stored in memory of the UEFI firmware.

Abstract: An information processing apparatus holding a secure chip includes a determination unit that determines whether the information processing apparatus returns from an idle state; a detection unit that, if the determination unit determines that the information processing apparatus returns from the idle state, detects initialization of the secure chip before starting application software; and a control unit that, if the detection unit detects the initialization of the secure chip, controls an operation of the information processing apparatus so that a hash value of the application software is not registered in the secure chip that is initialized.

Abstract: A method to enforce secure boot policy in an IHS configured with a plurality of virtual machines. The method includes detecting a request for a virtual machine to access a service processor. In response to detecting the request, the method includes triggering a handshake request between a hypervisor boot emulator and the service processor to initiate a sequence of authentication steps to access a corresponding secure partition of memory from among a plurality of secure partitions of memory associated with the service processor. Each secure partition of memory has a corresponding virtual platform key for preserving secure access to the corresponding secure partition of memory stored in a secure platform. The method further includes dynamically generating unlock keys, derived in part by the corresponding virtual platform key, to authenticate a requesting virtual machine as a valid virtual machine to obtain access to a corresponding secure partition of memory.

Abstract: Described herein is a data communication system using power over Ethernet (PoE) for power distribution, comprising a first and second powered device (PD), each of which is adapted to communicate with each other through an Ethernet data path (EDP) and is further adapted to receive direct current (DC) power using a PoE protocol, and a mid-span power injection device (MSPID) adapted to provide a communications interface such that data communications passes through the MSPID to and from each of the PDs, and wherein the MSPID is further adapted to provide a first DC power to only the first PD using the EDP, and to provide a second DC power to only the second PD using the EDP.

Abstract: Systems and methods are provided for spitting a population of users into electronic discussion groups or subgroups to facilitate more engaging conversations. Discussion profiles may be generated for individual users based on behavioral data, linguistic analysis, and demographic data. A target group size may be determined based on an analysis of user engagement levels within a number of discussion groups of varying sizes. One or more machine learning models may be configured to assign users to groups based on the users' similarity to each other and their conversation styles in order to maximize expected user engagement across the different groups.

Abstract: Methods and systems for waking up an electronic device having a wake-up receiver circuit. A signal is transmitted, carrying a wake-up frame (WUF) including a protocol data unit (PDU). A wake-up sequence is inserted in a portion ahead of the PDU. The wake-up sequence is used by the electronic device for detection of the WUF and identification of the intended recipient. The WUF also includes a wake-up identifier (WUID) that is used by the electronic device to authenticate the WUF.

Abstract: Embodiments of the present disclosure provide a disk capacity predicting method, apparatus, equipment and non-volatile computer storage medium. On the one hand, the change data of the disk capacity is obtained according to the historical capacity data of the disk; then the target inflection point in the historical capacity data is obtained according to the change data of the disk capacity; and then the linear relationship between the time and disk capacity is obtained according to the historical capacity data after the target inflection point. Therefore, technical solutions provided by embodiments of the present disclosure may achieve improvement of accuracy of prediction of disk capacity trend and reduce the cost needed in disk capacity prediction.

Abstract: An apparatus and method for a power-efficient framework to maintain data synchronization of a mobile personal computer (MPC) are described. In one embodiment, the method includes the detection of a data synchronization wakeup event while the MPC is operating according to a sleep state. Subsequent to wakeup event, at least one system resource is disabled to provide a minimum number of system resources required to re-establish a network connection. In one embodiment, user data from a network server is synchronized on the MPC without user intervention; the mobile platform system resumes operation according to the sleep state. In one embodiment, a wakeup alarm is programmed according to a user history profile regarding received e-mails. In a further embodiment, data synchronizing involves disabling a display, and throttling the system processor to operate at a reduced frequency. Other embodiments are described and claimed.

Abstract: A multiphase voltage regulator (VR) has a VR controller that performs automatic VR phase assignment and configuration for single or multi-output rails of an Information Handling System (IHS). VR power circuit has power stages selectably coupled to output voltage connection(s) or rail(s) that deliver electrical energy to information handling resource(s). VR controller is coupled to the VR power circuit and provides a first reference voltage (IREF) signal to the VR power circuit. VR controller identifies any power stages that return a load current monitor (IMON) signal that indicates that the respective power stage is coupled to the first IREF signal. VR controller regulates identified power stages of the VR power circuit during delivery of electrical power to information handling resource(s). Regulation is according to a VR configuration that is selected based on identified VR phases assigned to a first output voltage loop and associated with the first IREF signal.

Abstract: An information handling system includes an application processor that executes instructions of an intelligent energy management system that determines energy demands for an enterprise, application processor determines a statistical model of power demand estimation for a client in the enterprise. The information handling system includes a network adapter that receives component device utilization data from client, and includes a memory device that stores component device utilization data received from the client. The application processor determines power consumption for component devices across the enterprise that has the client for use in the statistical model of consumed power.

Abstract: Presented herein are embodiments of a multimodal Recurrent Neural Network (m-RNN) model for generating novel image captions. In embodiments, it directly models the probability distribution of generating a word given a previous word or words and an image, and image captions are generated according to this distribution. In embodiments, the model comprises two sub-networks: a deep recurrent neural network for sentences and a deep convolutional network for images. In embodiments, these two sub-networks interact with each other in a multimodal layer to form the whole m-RNN model. The effectiveness of an embodiment of model was validated on four benchmark datasets, and it outperformed the state-of-the-art methods. In embodiments, the m-RNN model may also be applied to retrieval tasks for retrieving images or captions.

Abstract: A haptic-enabled device, comprising a haptic actuator, an energy storage device configured to provide energy to the haptic actuator, and a control unit communicatively coupled to the haptic actuator is presented. The control unit may be configured to determine an energy availability level for the haptic-enabled device. The determination is based on an energy level of the energy storage device or an energy usage rate thereof. The control unit may further be configured to determine an energy conservation setting for the haptic-enabled device based on at least one of (i) the energy availability level, and (ii) an input received by the haptic-enabled device for controlling the energy conservation setting. The control unit may be configured to determine, based on the energy conservation setting, whether to generate the haptic effect in a braking mode or in a non-braking mode.

Abstract: A data processing apparatus includes: a plurality of power supplies; a nonvolatile logic configured to be driven with power output from the plurality of power supplies; and a plurality of detection parts configured to detect output states of the plurality of power supplies, wherein the nonvolatile logic performs data processing based on a result of the detection of the plurality of detection parts.

Abstract: Methods, systems, and computer readable mediums for utilizing a platform controller device are disclosed. According to one method, the method includes obtaining, by a platform controller device in a computing system cabinet, identification data for each of a plurality of computing system components included in the computing system cabinet. The method further includes acquiring, upon the insertion of a removable memory device into the platform controller device, system configuration profile data that is stored on the removable memory device and includes component configuration data corresponding to each of the plurality of computing system components. The method also includes utilizing the identification data and the component configuration data to configure each of the computing system components in accordance to the system configuration profile data.

Abstract: A method for creating a Gaussian process model as a data-based functional model for an output quantity that is to be modeled, based on training data in an input data space, including providing training data having training data points and output values, assigned to the training data points, of one or more output quantities; ascertaining a point density that is a function of the position of the training data points in the input data space; ascertaining a length scale function for each input quantity of the training data as a function of the point density; and generating a Gaussian process model from the training data and the output data of the output quantity to be modeled, based on the ascertained length scale functions.

Abstract: A service processor is provided that includes a processor, a memory coupled to the processor and having instructions for executing an operating system kernel having an integrity management subsystem, secure boot firmware, and a tamper-resistant secure trusted dedicated microprocessor. The secure boot firmware performs a secure boot operation to boot the operating system kernel of the service processor. The secure boot firmware records first measurements of code executed by the secure boot firmware when performing the boot operation, in one or more registers of the tamper-resistant secure trusted dedicated microprocessor. The operating system kernel enables the integrity management subsystem. The integrity management subsystem records second measurements of software executed by the operating system kernel, in the one or more registers of the tamper-resistant secure trusted dedicated microprocessor.

Abstract: A system includes a processing core built on a semiconductor substrate, the processing core having a first sub core and a second sub core, each of the first and second sub cores configured to perform a processing function, and a plurality of power rails traversing a dimension of the processing core and spanning from the first sub core to the second sub core, each of the power rails being configured to provide an operating voltage to the first and second sub cores, and wherein a boundary between the first sub core and the second sub core is irregularly shaped, and wherein each of the first and second sub cores corresponds to a respective power domain.