Abstract: Systems and methods of correcting errors in encrypted communication between a server and client devices using keyless encryption schemes are disclosed. Client devices with arrays of physical-unclonable-function devices respond to challenges from a server. Characteristics of the arrays are stored by the server during a secure enrollment process. To send an encrypted message, the server generates a message digest, extracts data from the stored arrays on the basis of the message digest, applies error correction codes to the message, encrypts the message with the extracted data, and sends the message to a client. The server may receive a handshake containing all or part of the message digest, measures its PUF, and decrypts and decodes the message.

Abstract: Systems and methods of correcting errors in encrypted communication between a server and client devices using keyless encryption schemes are disclosed. Client devices with arrays of physical-unclonable-function devices respond to challenges from a server. Characteristics of the arrays are stored by the server during a secure enrollment process. To send an encrypted message, the server generates a message digest, extracts data from the stored arrays on the basis of the message digest, applies error correction codes to the message, encrypts the message with the extracted data, and sends the message to a client. The server may receive a handshake containing all or part of the message digest, measures its PUF, and decrypts and decodes the message.

Abstract: An integrated decision making and communication system includes a memory to store a list of resources necessary to execute a mission; a transceiver to send and receive data between communicatively linked devices; and a processor to identify a set of available resources capable of executing the mission based on the data received from the devices; compare the list of resources necessary to execute the mission from the memory with the set of available resources; and identify a combination of the devices to execute the mission based on the comparison of the list of resources necessary to execute the mission and the set of available resources.

Abstract: Implementations of a system for determining the relevancy of a plurality of alarms may include: a plurality of sensors configured to be coupled to a patient, wherein the plurality of sensors is configured to gather physiological data, a medical monitoring device coupled to the plurality of sensors through a telecommunication channel, and wherein the medical monitoring device is configured to determine a physiological state of the patient using the physiological data. The medical monitoring device may be further configured to issue a plurality of alarm states, and a processing unit coupled to the medical monitoring device through a telecommunication channel, is then configured to evaluate the plurality of alarm states, determine the relevancy of each alarm state of the plurality of alarm states, and issue one or more alarms corresponding with each relevant alarm state to a computing device associated with a user.

Abstract: The present disclosure relates to implementations of physically unclonable functions (PUFs) for cryptographic and authentication purposes. Specifically, the disclosure describes implementations of machine learning engines (MLEs) in conjunction with PUFs generating outputs having multiple states.

Abstract: The present disclosure relates to implementations of physically unclonable functions (PUFs) for cryptographic and authentication purposes. Specifically, the disclosure describes implementations of machine learning engines (MLEs) in conjunction with PUFs generating outputs having multiple states.

Abstract: The present disclosure relates to implementations of physically unclonable functions (PUFs) for cryptographic and authentication purposes. Specifically, the disclosure describes implementations of machine learning engines (MLEs) in conjunction with PUFs generating outputs having multiple states.

Abstract: An integrated decision making and communication system includes a memory to store a list of resources necessary to execute a mission; a transceiver to send and receive data between communicatively linked devices; and a processor to identify a set of available resources capable of executing the mission based on the data received from the devices; compare the list of resources necessary to execute the mission from the memory with the set of available resources; and identify a combination of the devices to execute the mission based on the comparison of the list of resources necessary to execute the mission and the set of available resources.

Abstract: The present disclosure relates to implementations of physically unclonable functions (PUFs) for cryptographic and authentication purposes. Specifically, the disclosure describes implementations of machine learning engines (MLEs) in conjunction with PUFs generating outputs having multiple states.

Abstract: The present disclosure relates to implementations of physically unclonable functions (PUFs) for cryptographic and authentication purposes. Specifically, the disclosure describes implementations of machine learning engines (MLEs) in conjunction with PUFs generating outputs having multiple states.

Abstract: The present disclosure relates to implementations of physically unclonable functions (PUFs) for cryptographic and authentication purposes. Specifically, the disclosure describes implementations of machine learning engines (MLEs) in conjunction with PUFs generating outputs having multiple states.