Organic Memory Devices Show Promise for Flexible, Wearable, Personalized Computing

The advent of artificial intelligence, machine learning and the internet of things is expected to change modern electronics. The pressing question for many researchers is how to handle this technological revolution. Brain-inspired electronics with organic memristors could offer a functionally promising and cost- effective platform. Since memristors are functionally analogous to the operation of neurons, the computing units in the brain, they are optimal candidates for brain-inspired computing platforms.

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A Faster Way To Replace Inaccurate Information On Social Networks

Researchers have demonstrated a new model of how competing pieces of information spread in online social networks and the Internet of Things. The findings may be used to disseminate accurate information more quickly, displacing false information on anything from computer security to public health.

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Recipe for Neuromorphic Processing Systems?

The field of “brain-mimicking” neuromorphic electronics shows great potential for basic research and commercial applications, and researchers in Germany and Switzerland recently explored the possibility of reproducing the physics of real neural circuits by using the physics of silicon. In Applied Physics Letters, they present their work to understand neural processing systems, as well as a recipe to reproduce these computing principles in mixed signal analog/digital electronics and novel materials.

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Research Reveals Internet Crime Becoming More Sophisticated and Persistent in Florida and Other Large States

Researchers identify the top states as having the largest victim monetary losses and number of victims, and their report shows online crime trends in the last four years before 2019 (2015 to 2018) for the six top states with the highest internet crime activity.

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IEEE selects UAH’s Jovanov as Fellow for wearable health monitoring contributions

The Institute of Electrical and Electronics Engineers (IEEE) has selected Dr. Emil Jovanov, an associate professor of electrical and computer engineering at The University of Alabama in Huntsville (UAH), as a Fellow for his contributions to the field of wearable health monitoring.

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