Abstract:
Systems and methods for medical monitoring devices are provided. Various embodiments include a monitoring device platform. The platform may adhere to a smartphone and house one or more medical monitoring devices to accommodate for one or more health conditions. The medical monitoring devices may be interchangeable and the types of medical monitoring devices on the platform is customizable. The platform may include Bluetooth® functionality and is compatible with smart phones or other smart devices. Medical information collected by the platform is transmitted to the smart phone for viewing by the user. The medical information may be processed by a machine learning engine and can be used to highlight relevant information within an action plan created by a medical professional. Individual medical devices can slide and lock into the platform and may be used while the phone is in use.
Abstract:
Various embodiments of the present technology generally relate to file sharing, encryption, and protection of digital assets. More specifically, some embodiments of the present technology relate to computer files comprising an unencrypted file combined with an encrypted file, and methods for creation of such combined files. The unencrypted file can be read by target applications and can present a variety of information (e.g., contact information, registration information, etc.). The encrypted data may be accessed only when the proper management software, drivers, application programming interfaces, and other components of a runtime environment have been installed on a computing device.
Abstract:
The present disclosure relates to optical metrology for nanophotonic devices. A metrology system according to this disclosure includes a sample camera and a reference camera each connected to at least one computer configured with a computer processor and computerized memory. A tunable light source is directed to a nanophotonic device subject to imaging by the sample camera, and a reference light source subject to imaging by the reference camera to record reference lighting parameters in the memory. The computerized memory stores computer readable software commands that gather respective sets of image data from the sample camera and the reference camera to identify at least one nanophotonic property of the nanophotonic device by comparing the respective sets of image data. Examples show metrology for wire grid polarizers and other devices fabricated in wafer scale or roll to roll assemblies
Abstract:
Systems and methods for network diagnostics are provided. Various embodiments allow for a diagnostic application to be automatically pushed to one or more mobile devices on a network. A diagnostic platform can select one or more mobile devices to perform a set of tests (e.g., Wi-Fi connections, cellular connections, download speeds, initiate phone calls, etc.) to evaluate the network performance. The diagnostic application can then be accessed (or installed) by the diagnostic platform. Messages that include the captured data about the network performance can be sent from each of the mobile devices to the diagnostic platform. Various analytics can then be generated about the network and performance of specific device configurations.
Abstract:
Systems and methods for intelligent language models that can be used across multiple devices are provided. Some embodiments provide for a client-server system for integrating change events from each device running a local language processing system into a master language model. The change events can be integrated, not only into the master model, but also into each of the other local language models. As a result, some embodiments enable restoration to new devices as well as synchronization of usage across multiple devices. In addition, real-time messaging can be used on selected messages to ensure that high priority change events are updated quickly across all active devices. Using a subscription model driven by a server infrastructure, utilization logic on the client side can also drive selective language model updates.
Abstract:
Systems and methods for a secure mobile framework to securely connect applications running on mobile devices to services within an enterprise are provided. Various embodiments provide mechanisms of securitizing data and communication between mobile devices and end point services accessed from a gateway of responsible authorization, authentication, anomaly detection, fraud detection, and policy management. Some embodiments provide for the integration of server and client side security mechanisms, binding of a user/application/device to an endpoint service along with multiple encryption mechanisms. For example, the secure mobile framework provides a secure container on the mobile device, secure files, a virtual file system partition, a multiple level authentication approach (e.g., to access a secure container on the mobile device and to access enterprise services), and a server side fraud detection system.
Abstract:
Systems and methods are disclosed for underwriting loans. Some embodiments increase the likelihood of repayment by obtaining access to a qualified attribute of a borrower by a first computer component, monitoring by a second computer component for a financial event associated with the loan to the borrower, and taking control of the qualified attribute of the borrower by a third computer component. Taking control may include notifying social contacts. Securing the loan by taking various security interests and technical countermeasures against the borrower re-obtaining access or re-taking control are disclosed. Providing loans, receiving loan applications, providing loans proceeds, processing payments, and underwriting criteria are disclosed. Underwriting employing social contacts for recommendations, loan guarantees, social contact credit scores, public repayment promises, loan repayment coaches, fraud criteria, crowdsourced risk evaluation, social graphs, borrower stability factors derived from social graphs, data associated with online information repositories, and efficacy of notification are disclosed.
Abstract:
Various embodiments provide for deep learning-based architectures and design methodologies for an orthogonal frequency division multiplexing (OFDM) receiver under the constraint of one-bit complex quantization. Single bit quantization greatly reduces complexity and power consumption in the receivers, but makes accurate channel estimation and data detection difficult. This is particularly true for OFDM waveforms, which have high peak-to average (signal power) ratio in the time domain and fragile subcarrier orthogonality in the frequency domain. The severe distortion for one-bit quantization typically results in an error floor even at moderately low signal-to-noise-ratio (SNR) such as 5 dB. For channel estimation (using pilots), various embodiments use novel generative supervised deep neural networks (DNNs) that can be trained with a reasonable number of pilots. After channel estimation, a neural network-based receiver specifically, an autoencoder jointly learns a precoder and decoder for data symbol detection.
Abstract:
Controlling the propagation and interaction of light in complex media has sparked major interest. Unfortunately, spatial light modulation devices suffer from limited speed precluding real-time applications (e.g., imaging in live tissue). To address this problem, various embodiments use a phase-control technique to characterize complex media based on use of fast 1D spatial modulators and 1D-to-2D transformation performed by the same medium being analyzed. Some embodiments use a micro-electro-mechanical grating light valve (GLV) with 1088 degrees of freedom modulated at 350 KHz, enabling unprecedented high-speed wavefront measurements. Some embodiments continuously measure the transmission matrix, calculate the optimal wavefront and project a focus through various dynamic scattering samples in real-time, (e.g., within 2.4 ms per cycle). As such, some embodiments improve, by more than an order of magnitude, prior wavefront shaping modulation speed and open new opportunities for optical processing using 1D-to-2D transformations.
Abstract:
Infrared (IR) vibrational scattering scanning near-field optical microscopy (s-SNOM) has advanced to become a powerful nanoimaging and spectroscopy technique with applications ranging from biological to quantum materials. However, full spatiospectral s-SNOM continues to be challenged by long measurement times and drift during the acquisition of large associated datasets. Various embodiments provide for a novel approach of computational spatiospectral s-SNOM by transforming the basis from the stationary frame into the rotating frame of the IR carrier frequency. Some embodiments see acceleration of IR s-SNOM data collection by a factor of 10 or more in combination with prior knowledge of the electronic or vibrational resonances to be probed, the IR source excitation spectrum, and other general sample characteristics.