Abstract: Systems and methods for deep brain stimulation using beta burst feedback in accordance with embodiments of the invention are illustrated. One embodiment includes a deep brain stimulation system, including a neurostimulator, and a controller, where the controller is communicatively coupled to the neurostimulator and configured to obtain a plurality of neural activity signals from the neurostimulator, identify beta bursts within each neural activity signal, classify identified beta bursts as pathological or normal, and modify stimulation provided by the neurostimulator based on the classified beta bursts.

Abstract: A system comprising at least one component running on at least one server and receiving vulnerability data and, for each device of a plurality of devices, device data that includes data of at least one device component. The system includes a trust score corresponding to each device of the plurality of devices and representing a level of security applied to the device. The trust score is generated using a severity of the vulnerability data. The system includes an access control component coupled to the at least one component and controlling access of the plurality of devices to an enterprise using the trust score.

Abstract: A system comprising at least one component running on at least one server and receiving vulnerability data and, for each device of a plurality of devices, device data that includes data of at least one device component. The system includes a trust score corresponding to each device of the plurality of devices and representing a level of security applied to the device. The trust score is generated using a severity of the vulnerability data. The system includes an access control component coupled to the at least one component and controlling access of the plurality of devices to an enterprise using the trust score.

Abstract: A system comprising at least one component running on at least one server and receiving vulnerability data and, for each device of a plurality of devices, device data that includes data of at least one device component. The system includes a trust score corresponding to each device of the plurality of devices and representing a level of security applied to the device. The trust score is generated using a severity of the vulnerability data. The system includes an access control component coupled to the at least one component and controlling access of the plurality of devices to an enterprise using the trust score.

Abstract: A system comprising at least one component running on at least one server and receiving vulnerability data and, for each device of a plurality of devices, device data that includes data of at least one device component. The system includes a trust score corresponding to each device of the plurality of devices and representing a level of security applied to the device. The trust score is generated using a severity of the vulnerability data. The system includes an access control component coupled to the at least one component and controlling access of the plurality of devices to an enterprise using the trust score.

Abstract: A client device sends the following data to the servers: still frames from captured video and in some embodiments other data such as GPS coordinates, compass reading, and accelerometer data. The servers break down each frame into feature points and match those feature points to existing point cloud data to determine client device's point of view (POV). The servers send the resulting information back to the client device, which uses the POV information to render augmentation content on a video stream. Information sent by client devices to the server can be used to augment the feature-point cloud.