Sparse distributed memory

Sparse distributed memory was proposed be Pentti Kanerva as a realizable architecture that could store large patterns and retrieve them based on partial matches with patterns representing current sensory inputs. This memory exhibits behaviors, both in theory and in experiment, that resemble those previously unapproached by machines - e.g., rapid recognition of faces or odors, discovery of new connections between seemingly unrelated ideas, continuation of a sequence of events when given a cue from the middle, knowing that one doesn't know, or getting stuck with an answer on the tip of one's tongue. These behaviors are now within reach of machines that can be incorporated into the computing systems of robots capable of seeing, talking, and manipulating. Kanerva's theory is a break with the Western rationalistic tradition, allowing a new interpretation of learning and cognition that respects biology and the mysteries of individual human beings

TACHISTOSCOPE ON A VIRTUAL REALITY PLATFORM TO IMPROVE MEMORIZATION AND INCREASE RAPID RECOGNITION

This work investigates whether a tachistoscope on a virtual reality (VR) platform can increase one’s ability to memorize and rapidly recognize objects. Theses abilities are relevant to an array of military requirements. Current procedures mostly utilize flash cards and PowerPoint slides. A tachistoscope (ta-kiss-stow-scope) is an image-flashing device with precise control of the image presentation time. Since the early 1900s they were used to assist with memorization and recognition. One famous example is work done by Renshaw in the 1940s to improve pilots’ ability to recognize tanks, aircraft, and ships (Renshaw, 1945). Our study utilized this technique on modern-day VR and computer platforms. It simplified the use of a tachistoscope and will enable units to customize training packages. This study trained individuals to recognize 40 aircraft over eight training sessions. Training session one began with ten aircraft, and five aircraft were added in each subsequent session. Questions captured three variables: correct/incorrect answer, reaction time, and confidence. Participants were in one of three groups: tachistoscope on a VR platform, tachistoscope on laptop, or computer-based flashcard (control). Results indicate a significant increase in memorization from pretest to posttest for all groups. Furthermore, there was a nonsignificant improvement in reaction time from pretest to posttest across all groups.ONRMajor, United States Marine CorpsApproved for public release. Distribution is unlimited

Computer vision research at Marshall Space Flight Center

Orbital docking, inspection, and sevicing are operations which have the potential for capability enhancement as well as cost reduction for space operations by the application of computer vision technology. Research at MSFC has been a natural outgrowth of orbital docking simulations for remote manually controlled vehicles such as the Teleoperator Retrieval System and the Orbital Maneuvering Vehicle (OMV). Baseline design of the OMV dictates teleoperator control from a ground station. This necessitates a high data-rate communication network and results in several seconds of time delay. Operational costs and vehicle control difficulties could be alleviated by an autonomous or semi-autonomous control system onboard the OMV which would be based on a computer vision system having capability to recognize video images in real time. A concept under development at MSFC with these attributes is based on syntactic pattern recognition. It uses tree graphs for rapid recognition of binary images of known orbiting target vehicles. This technique and others being investigated at MSFC will be evaluated in realistic conditions by the use of MSFC orbital docking simulators. Computer vision is also being applied at MSFC as part of the supporting development for Work Package One of Space Station Freedom

Rapid Recognition of Olfactory Scenes with a Portable MOx Sensor System using Hotplate Modulation

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the accepted manuscript version of a conference paper which has been published in final form at https://doi.org/10.1109/ISOEN54820.2022.9789654A café, the metro, a supermarket, a book store - many locations of everyday life have a specific smell. Recognising such olfactory scenes could inform personal activity tracking, environmental monitoring, and assist robotic navigation. Yet it is unclear if current Metal-oxide (MOx) sensor technology is sensitive and specific enough to achieve this. Factors like sensor drift, and sensitivity to ambient humidity and temperature further complicate the recognition of olfactory scenes. Hotplate temperature modulation has been suggested as a method to counter these drawbacks. We present an electronic nose based on MEMS-MOx sensors that support rapid hotplate temperature modulation with a 150 ms period. We recorded different natural olfactory scenes in an urban context. A linear SVM was able to recognise four olfactory scenes in single hotplate cycles with near-perfect performance when trained and tested on the same day, and 73% accuracy when tested in the same locations on the next day. Gas sensor responses yielded higher recognition accuracy than humidity, temperature, and pressure, which were also partly-location specific. Our results indicate that hotplate modulation enables recognition of natural odor scenes across extended timespans. These findings encourage the use of MOx-sensors as rapid sensing devices in natural, uncontrolled environments

Comprehending Angioedema: ACE-Inhibitor Reaction

The following will discuss the implications of ACE-Inhibitor induced angioedema in relation to advanced nursing practice. The poster will first introduce a brief overview of what angioedema is and how it affects the patient. Along with an overview of ACE-Inhibitor usage and related effect interaction with bradykinin. The poster proceeds with discussion on signs and symptoms and underlying pathophysiology. Then finishes with significance of pathophysiology, treatment, implications of nursing care and concludes with the authors opinion of rapid recognition and treatment

How Does Our Visual System Achieve Shift and Size Invariance?

The question of shift and size invariance in the primate visual system is discussed. After a short review of the relevant neurobiology and psychophysics, a more detailed analysis of computational models is given. The two main types of networks considered are the dynamic routing circuit model and invariant feature networks, such as the neocognitron. Some specific open questions in context of these models are raised and possible solutions discussed

Healthcare-associated infections: New challenges looking for answers

Nosocomial transmission of multiresistant bacteria is a growing healthcare issue. In addition, new pathogens and pathogenic mechanisms, associated with therapies based on the use of live microorganisms, can be of importance in the near future. The current issue of CKJ illustrates healthcare-associated infections that go beyond common bacteria. First, the therapeutic use of live BCG mycobacteria is not without risks in the chronic kidney disease patients. Familiarity with these complications will allow their rapid recognition and optimized management. Second, strict adherence to universal precautions and healthcare guidelines is still mandatory in order to avoid undesirable risks such as transmission of hepatitis B virus