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Innovative method combines neural networks and control theory to enhance reliability in complex systems.

Text-to-image generator remembers details across scenes for consistent subjects.

An automated detection tool developed by Johns Hopkins researchers could help ER doctors diagnose patients quickly and accurately.

System comprises a silicon “brain” in layers of connected silicon neurons.

Once a solution for amateur, off-key singers on karaoke nights, Auto-Tune and other voice tuning software have progressed from the club to the recording industry but never beyond sounding artificial.…

Using a $2 million grant from the National Institutes of Health’s National Institute of Neurological Disorders and Stroke, Mark Foster, associate professor in the Department of Electrical and Computer Engineering,…

New model enables facial recognition in the dark

A study by Mounya Elhilali sheds light on how the brain focuses on a single sound

A group of experts is investigating options to expand the reach of solar power to new landscapes, such as solar-powered cars and self-charging cellphones.

Process automates the task of tracking needle and catheter tips, provides doctors with information regarding the surrounding tissue, may reduce the risk of surgical complications and sepsis.

ECE doctoral candidate Naresh Nandakumar is developing a painless, non-invasive approach using functional magnetic resonance imaging, or fMRI, to locate the eloquent cortex.

This story originally appeared in the Hub. Each year Space@Hopkins awards seed grants to enable Johns Hopkins researchers to test and develop new ideas that enhance their ability to obtain external funding.…