Northern Arizona University

USA As Represented by Secretary of the Navy

United States of America As Represented by the Secretary of the Air Force

Donald A Telesca, Jr

Bertrand Francis Cambou

Paul G Flikkema

Christopher Robert Philabaum

Brayden Cole David Villa

A low-power, controllable, and reconfigurable method to control weights in model neurons in an Artificial Neural Network is disclosed. Memristors are utilized as adjustable synapses, where the memristor resistance reflects the synapse weight. The injection of extremely small electric currents (a few nanoamperes) in each cell forces the resistance to drop abruptly by several orders of magnitudes due to the formation of a conductive path between the two electrodes. These conductive paths dissolve as soon as the current injection stops, and the cells return to their initial state. A repeated injection of currents into the same cell results in an almost identical effect in resistance drop. Different, stable resistance values in each cell can be controllably achieved by injecting different current values.

Artificial neuron synaptic weights implemented with variable dissolvable conductive paths

A computing device includes an array of addressable elements. Each addressable element is a hardware element that generates a substantially consistent response when interrogated. The device includes a processor coupled to the array of addressable elements and configured to communicate using a communication network. The processor receives a public key, and processes the public key to produce at least a set of addresses. Each address in the set of addresses identifies one or more hardware elements in the array of addressable elements. The processor generates a set of responses by interrogating the one or more hardware elements in the array of addressable elements identified by the set of addresses according to a set of reading instructions, appends the responses in the set of responses to generate a private key, receives an encrypted message and decrypts the encrypted message using the private key to generate an unencrypted message.

Key exchange schemes with addressable elements

Disclosed herein is a computing system with the capability to execute instructions in different positional notation values. The definition of a positional notation value is given by the general formula that represent a base 10 numeral in any positional notation in the following manner: . . . dr+dr+dr+dr, where d is a coefficient, r is the base of the positional number system (i.e. r=2 for binary, or r=3 for ternary), and the exponent is the position of the digit. The computing may provide a configuration which hybridizes the instructions of multiple positional notation values in variable ratios. The computing system may dynamically switch between the multiple hybridized instructions sets. Embodiments may be applied to provide security benefits.

Dynamic hybridized positional notation instruction set computer architecture to enhance security

An apparatus and method for computer network security based on Free-Space Optical Interconnections (FSOI) for board-to-board information transmission. The addition of a controllable, interlocked shutter system creates air-gapped isolation of the boards, allowing for increased obfuscation, and enhanced security.

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Whitesboro, NY, United States of America

Donald A Telesca, Jr