PNNL researchers established an Internet of Things Common Operating Environment (IoTCOE) laboratory to explore the risks associated with IoT connectivity to the internet, the energy grid and other critical infrastructures.
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.
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.
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.
More portable, fully wireless smart home setups. Lower power wearables. Batteryless smart devices. These could all be made possible thanks to a new ultra-low power Wi-Fi radio developed by UC San Diego engineers. It enables Wi-Fi communication at 5,000 times less power than commercial Wi-Fi radios.
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.
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.
Ever wonder why your smart phone can do facial recognition, but your smart watch can’t? UD’s Chengmo Yang is researching ways to support neural networks in low-power embedded systems by using emerging memory devices that can retrieve information even when powered off, and furthermore minimize errors.
DHS S&T awarded $199,680 to Bastille Networks, Inc. of Atlanta, Georgia to deliver its IoT security solution that will enable system administrators to gain real-time situational awareness of threats on connected devices.